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SCImago
Q2
WOS
Q3
Impact factor
0.6
SJR
0.485
CiteScore
1.5
Categories
Mathematics (miscellaneous)
Areas
Mathematics
Years of issue
1983-2025
journal names
Acta Mathematica Hungarica
ACTA MATH HUNG
Top-3 citing journals

Acta Mathematica Hungarica
(3489 citations)

Journal of Mathematical Analysis and Applications
(737 citations)

Discrete Mathematics
(675 citations)
Top-3 organizations

Eötvös Loránd University (University of Budapest)
(505 publications)

University of Szeged
(123 publications)

University of Debrecen
(113 publications)

Alfréd Rényi Institute of Mathematics
(21 publications)

Eötvös Loránd University (University of Budapest)
(11 publications)

Rutgers, The State University of New Jersey
(11 publications)
Most cited in 5 years
Found
Publications found: 1355
Q3

Aqueous Vernonia amygdalina leaf extract in drinking water mitigates aflatoxin B1 toxicity in broilers: effects on performance, biomarker analysis, and liver histology
Oloruntola O.D., Oluwaniyi F.S., Adeyeye S.A., Falowo A.B., Jimoh O.A., Olarotimi O.J., Oloruntola D.A., Osowe C.O., Gbore F.A.
This study evaluated aqueous Vernonia amygdalina leaf extract in drinking water as a mitigation strategy against Aflatoxin B1-induced toxicity in broilers, focusing on performance, haematology, serum biochemistry, pro-inflammatory cytokines, cellular stress markers, and liver histology. Two hundred and forty (240) day-old chicks (mixed sex), of the Cobb 500 breed were divided into four groups: control (CONT), AFB1-exposed (AFLB1), and two treatment groups (VE1AF and VE2AF) receiving 0.5 mg/kg AFB1 and Vernonia amygdalina aqueous extract at 1 g/L and 2 g/L, respectively. At 42 days, VE1AF and VE2AF chickens showed higher (P < 0.05) final weights and weight gains than CONT and AFLB1 groups. The red blood cells, packed cell volume, haemoglobin, and white blood cell counts were higher (P < 0.05) in CONT, VE1AF, and VE2AF groups compared to AFLB1. Mean cell volume, and mean cell haemaoglobin were higher (P < 0.05) in AFLB1 and VE2AF. Serum analysis revealed lower (P < 0.05) total protein, globulin, and albumin in AFLB1, which were restored by the extract. The tumor necrosis factor-α, interleukin-6, interleukin-1β, and interferon-γ, were elevated (P < 0.05) in AFLB1 but reduced in VE1AF and VE2AF. The heat shock protein 70, 8-hydroxy-2'-deoxyguanosine and adiponectin levels were higher (P < 0.05) in AFLB1, but were normalized by the extract in VE1AF and VE2AF. Leptin and triiodothyronine levels were significantly (P < 0.05) better in VE1AF and VE2AF, compared to AFLB1. Liver histology showed reduced inflammation in VE1AF and VE2AF, with near-normal hepatic architecture. In conclusion, Vernonia amygdalina leaf extract effectively counteracts AFB1 toxicity, enhancing overall health and performance in broiler chickens.
Q3

Comprehensive review for aflatoxin detoxification with special attention to cold plasma treatment
Mahmoud Y.A., Elkaliny N.E., Darwish O.A., Ashraf Y., Ebrahim R.A., Das S.P., Yahya G.
Abstract
Aflatoxins are potent carcinogens and pose significant risks to food safety and public health worldwide. Aflatoxins include Aflatoxin B1 (AFB1), Aflatoxin B2 (AFB2), Aflatoxin G1 (AFG1), Aflatoxin G2 (AFG2), and Aflatoxin M1 (AFM1). AFB1 is particularly notorious for its carcinogenicity, classified as a Group 1 human carcinogen by the International Agency for Research on Cancer (IARC). Chronic exposure to aflatoxins through contaminated food and feed can lead to liver cancer, immunosuppression, growth impairment, and other systemic health issues. Efforts to mitigate aflatoxin contamination have traditionally relied on chemical treatments, physical separation methods, and biological degradation. However, these approaches often pose challenges related to safety, efficacy, and impact on food quality. Recently, cold plasma treatment has emerged as a promising alternative. Cold plasma generates reactive oxygen species, which effectively degrade aflatoxins on food surfaces without compromising nutritional integrity or safety. This review consolidates current research and advancements in aflatoxin detoxification, highlighting the potential of cold plasma technology to revolutionize food safety practices. By exploring the mechanisms of aflatoxin toxicity, evaluating existing detoxification methods, and discussing the principles and applications of cold plasma treatment.
Graphical Abstract
Q3

Detection, quantification, and characterization of airborne Aspergillus flavus within the corn canopy
Weaver M.A., Park L.C., Brewer M.J., Grodowitz M.J., Abbas H.K.
Abstract
Aflatoxin contamination of corn can occur when developing kernels are infected by the plant pathogen Aspergillus flavus. One route of infection is from airborne conidia. We executed a series of experiments within the corn canopy during two growing seasons and in two states to document the abundance and dynamics of the airborne A. flavus population. We did not observe any significant diurnal changes in the conidial density (p = 0.171) or any effect of sampler height (p = 0.882) within the canopy. Significant changes (p < 0.001) were noted during the season, with a trend towards increased airborne populations with later stages of corn development and more than a 20-fold increase from July to August. The median aflatoxigenicity of airborne isolates from a corn canopy in Texas was about 50 times higher than the corresponding population in Mississippi. It was also noteworthy that highly aflatoxigenic, weakly sporulating S-morphotypes accounted for 14–30% of the airborne isolates in Mississippi at a site with historically rare abundance of S-morphotypes. The genetic diversity was high among the 140 analyzed airborne isolates, with 76 unique haplotypes identified and 55 haplotypes occurring only in 1 isolate. Even in the context of this highly diverse population, a haplotype matching that of a commercial biocontrol strain was found in 13 of the 70 isolates from Mississippi and 1 of the 70 isolates from Texas. The airborne A. flavus population is genetically diverse (Shannon’s index = 1.4 to 1.6), similar to grain samples in other surveys, and much less aflatoxigenic in Mississippi than in Texas.
Q3

Mycotoxin exposure through the consumption of processed cereal food for children (< 5 years old) from rural households of Oshana, a region of Namibia
Angula M.A., Ishola A., Tjiurutue M., Sulyok M., Krska R., Ezekiel C.N., Misihairabgwi J.
Abstract
Mycotoxin exposure from contaminated food is a significant global health issue, particularly among vulnerable children. Given limited data on mycotoxin exposure among Namibian children, this study investigated mycotoxin types and levels in foods, evaluated dietary mycotoxin exposure from processed cereal foods in children under age five from rural households in Oshana region, Namibia. Mycotoxins in cereal-based food samples (n = 162) (mahangu flour (n = 35), sorghum flour (n = 13), mahangu thin/thick porridge (n = 54), oshikundu (n = 56), and omungome (n = 4)) were determined by liquid chromatography-tandem mass spectrometry. Aflatoxin B1 (AFB1, 35.8%), zearalenone (27.2%), fumonisin B1 (FB1, 24.1%), citrinin (CIT, 12.4%) and deoxynivalenol (10.5%) were the major mycotoxins quantified. Food samples (35.8% (n = 58) and 6.2% (n = 10)) exceeded the 0.1 µg/kg AFB1 and 200 µg/kg FB1 EU limit for children’s food, respectively. Several emerging mycotoxins including the neurotoxic 3-nitropropionic acid, moniliformin (MON), and tenuazonic acid were quantified in over 50% of all samples. Co-occurrence of AFB1, CIT, and FB1 detected in 4.9% (n = 8) samples, which could heighten food safety concerns. Regarding exposure assessment and risk characterization, average probable dietary intake for AFB1 from all ready-to-eat-foods was 0.036 µg/kg bw/day, which resulted in margin of exposures (MOE) of 11 and 0.65 risk cancer cases/year/100,000 people, indicating a risk of chronic aflatoxicosis. High tolerable daily intake values for FB1, and MOE for beauvericin and MON exceeded reference values. Consumption of a diversified diet and interventions including timely planting and harvesting, best grain storage, and other standard postharvest food handling practices are needed to mitigate mycotoxin exposure through contaminated cereal foods and to safeguard the health of the rural children in Namibia.
Q3

Mycotoxins in brewing and malting: is every sample contaminated with mycotoxins?
Pernica M., Martiník J., Boško R., Černá S., Svoboda Z., Benešová K., Běláková S.
Mycotoxins are secondary metabolites of fungi and represent a serious problem for human health. Due to growing interest, various aspects have been widely studied by scientific groups. One of these aspects relates to the food industry and associated beer production. Mycotoxins can be present in the basic raw materials for beer production as well as in brewed beer. Problematic mycotoxins that pose a serious risk of toxicity are aflatoxins especially aflatoxin B1 (AFB1), fumonisins (FBs), and zearalenone (ZEN) and its metabolites, deoxynivalenol (DON) including its acetylated forms and also the modified form deoxynivalenol-3-glucoside (DON-3G), T-2 toxin, HT-2 toxin, and ochratoxin A. The Research Institute of Brewing and Malting has been dealing with the issue of mycotoxins since 2008. This study describes the analysis of the above mycotoxins during 2020–2024 in barley (n = 775), malt (n = 751), and commercially available beers (n = 522) using QuEChERS, immunoaffinity columns, and UPLC-MS/MS. The results showed positive samples of mycotoxins in brewing and malting matrices at the level of micrograms per kilogram (barley, malt) and nanograms per liter for beer. Therefore, it is a residual concentration and the accurate quantitative determination of mycotoxins, correct interpretation of the results in connection with toxicological values, and the maximum permissible levels of mycotoxins play a key role in global food safety and consumer protection.
Q3

Monitoring Fusarium toxins from barley to malt: Targeted inoculation with Fusarium culmorum
Biehl E.M., Schneidemann-Bostelmann S., Hoheneder F., Asam S., Hückelhoven R., Rychlik M.
Abstract
Molds of the genus Fusarium infect nearly all types of grain, causing significant yield and quality losses. Many species of this genus produce mycotoxins, which pose significant risks to human and animal health. In beer production, the complex interaction between primary fungal metabolites and secondarily modified mycotoxins in barley, malt, and beer complicates the situation, highlighting the need for effective analytical methods to quickly and accurately monitor these toxins. We developed and validated a liquid chromatography-tandem mass spectrometry (LC–MS/MS) method to simultaneously analyze 14 Fusarium toxins, including modified forms (deoxynivalenol (DON), DON-3-glucoside, 3-acetyl-DON, 15-acetyl-DON, nivalenol, fusarenone X, HT-2 toxin, T-2 toxin, the enniatins A, A1, B, B1, beauvericin, and zearalenone) in barley and throughout the malting process. Stable isotope dilution assays (SIDAs) and matrix-matched calibration were used for quantification. A micro-malting setup was established to produce Fusarium-contaminated barley malt under reproducible conditions using targeted inoculation with F. culmorum. Mycotoxins were quantified throughout the malting process and compared to the content of fungal DNA. Further, the impact of various malting parameters was investigated, thus revealing that different malting scenarios exhibited different toxin enrichment patterns. We demonstrated that mycotoxin concentration and the ratio of DON to DON-3-glucoside changed throughout the malting processes, depending on fungal spore concentrations, germination temperature, and malting temperature. The study highlights the complexity of mycotoxin dynamics in malt production and the importance of optimized processing conditions to minimize toxin levels in final malt products.
Q3

On-farm evaluation of aflatoxin binder inclusion in dairy feed as a strategy to reduce milk aflatoxin M1 contamination in the Rwandan context
Nishimwe K., Bowers E., Maier D.E.
Aflatoxins (AF), fungal metabolites, can contaminate feed in favorable environments, posing health risks to humans and animals. Dairy cows exposed to aflatoxin B1 (AFB1) excrete its metabolite, aflatoxin M1 (AFM1), in milk, compromising its safety. The current study examined the use of an AF binder in dairy feed concentrates on farms in Rwanda to mitigate AFM1 in milk. It was conducted in Nyagatare district, peri-urban areas of Kigali (Center), and Huye district (South) with 42 farmers randomly selected from a previous study evenly divided into control and intervention groups. The intervention group received an AF binder (Novasil™ Plus) and training on both the usage of the binder and AF prevention in dairy feed. Sociodemographic and dairy management data were collected through semi-structured questionnaires. Farmers in both the treatment and control groups were visited at regular intervals over a 3-month time period (five total visits per farmer) to collect samples of milk and feed for the quantification of AFM1 and AFB1, respectively, and to interview participants. The use of the AF binder evidenced a significant reduction in milk AFM1 contamination between the intervention (mean, 0.15 µg/l; median, 0.13 µg/l) and control groups (mean, 0.30 µg/l; median, 0.24 µg/l) (p < 0.05). AFB1 was detected in the feed concentrate at a mean concentration of 32.2 µg/kg (median, 36.2 µg/kg); however, mean AFM1 levels in both groups (i.e., control and intervention) did not exceed the Rwanda Standards Board (RSB) regulatory limit of 0.5 µg/kg AFM1. AF binders show potential as a low-cost strategy to reduce AFM1 contamination in the Rwandan context. However, there is a need for clear standards on the registration and use of binders before they are deployed in-country and to claim their mitigating effects on AFM1 in milk.
Q3

Occurrence of mycotoxins in milk thistle: to be included in legislation or not?
Boško R., Pluháčková H., Martiník J., Benešová K., Svoboda Z., Běláková S., Pernica M.
The silymarin complex extracted from milk thistle provides significant health benefits, particularly due to its antioxidant and hepatoprotective properties. However, plant substances can be contaminated by a number of fungi types and their secondary metabolites—mycotoxins. This work deals with the determination of aflatoxins and zearalenone and its metabolites in 39 different samples grown in 2020 and 2021. Analysis of mycotoxins was performed by UHPLC-MS/MS after immunoaffinity column AFLAPREP® and EASI-EXTRACT® ZEARALENONE clean-up. The presence of aflatoxins was not confirmed in the monitored samples, but 1/3 of the samples were contaminated with zearalenone in the range of 2.8–378.9 µg/kg. Metabolites of zearalenone such as α-zearalenol, α-zearalanol, and β-zearalanol were not detected in any of the samples. β-Zearalenol was found in two samples (2.6 µg/kg and 29.8 µg/kg).
Q3

Assessment of mycotoxins in infant flour and their decontamination in raw material during production processes in Ouagadougou
Bayala-Yaї L.K., Nikièma P.A., Bazié B.S., Nikièma F., Simpore J.
The infant flours produced in Burkina Faso are essentially a mixture of cereals and legumes. These raw materials are frequently contaminated with mycotoxins which pose a huge food safety and public health threat. The objective of this study was to determine mycotoxin levels in raw materials and infant flours in Ouagadougou and to investigate the impact of decontamination on the raw materials used in infant flour production. A total of 22 cereals and 17 legumes as raw materials and 26 infant flour samples were analysed for aflatoxins, fumonisin B1 (FB1), and ochratoxin A (OTA) by liquid chromatography coupled to tandem mass spectrometry, while saline treatment and hand-sorting of grains in mycotoxin reduction were tested. All the samples of raw materials and infant flours were contaminated with aflatoxins, whereas 20.5% and 38.5% of raw materials and 57.7% and 61.5% of infant flours, respectively, were contaminated by FB1 and OTA. These decontamination assays significantly reduced the levels of mycotoxins. AFB1 was reduced by 48% after soaking of maize for 6 h in a 6% NaCl solution. Sorting resulted in a 92% reduction in AFB1 content in peanut. However, soaking in saline solution did not reduce the FB1 and OTA contents. Sorting did not also reduce FB1 contents in peanut. Sorting and soaking in 6% saline solution for 6 h are production processes that lead to a reduction in the level of contamination by aflatoxins in maize and peanut used as raw materials for infant flour production.
Q3

Aflatoxin awareness and preventive agricultural practices are key to adoption of biocontrol among maize smallholder farmers in Tanzania
Fundikira S., Suleiman R., De Saeger S., De Boevre M., Kimanya M.
Aflatoxins are toxic secondary metabolites produced by Aspergillus species that infect staple foods like maize causing threat to public health and economic impacts. The use of atoxigenic Aspergillus species is considered one of the promising technologies to prevent aflatoxin contamination in maize. Tanzania approved the use of aflatoxin biocontrol (Aflasafe®) in 2018 and introduced it to eight districts. Adoption and effectiveness of this technology depend on many factors including application of pre- and post-harvest practices. There is scant information on awareness of biocontrol and factors which influence the adoption and effectiveness of this technology. A cross-sectional study was conducted in Tanzania to assess awareness and identify factors influencing adoption of the technology. Data was collected from 334 smallholder farmers in Kiteto and Chemba districts and analyzed using SPSS version 20; p-values < 0.05 using a two-tailed test were considered statistically significant. Results indicated 95.4% are not aware and that only 2.7% of the farmers had used biocontrol technology. The use of biocontrol was significantly associated with high income level (p = 0.001) and exposure to print media (p = 0.03) and radio (p = 0.008). The use of hybrid seed (p = 0.01), grazing (p = 0.017), and rotation of crops on yearly basis (p = 0.024) were also significantly associated with the use of biocontrol. Income limits the use of biocontrol, requiring government subsidies for Aflasafe and a premium market for aflatoxin-free maize. Aflatoxin awareness and sensitization on adherence to good pre-harvest practices should be emphasized to enhance adoption of the technology.
Q3

Mycotoxin concentrations in rice are affected by chalkiness, grain shape, processing type, and grain origin
Tang E.N., Ndindeng S.A., Onaga G., Ortega-Beltran A., Falade T.D., Djouaka R., Frei M.
Abstract
Mycotoxins such as aflatoxins (AFs), fumonisins (FBs), zearalenone (ZEN), and deoxynivalenol (DON) pose a risk to public health due to their carcinogenic potency (AFs and FBs) and anti-nutritional effects. The hazards associated with mycotoxins are accentuated where food management practices, control, and regulatory systems from farm to plate are sub-optimal. Information on the frequency of these mycotoxins in rice commercialized in markets in sub-Sahara Africa (SSA) is limited. The current study examined AF concentrations in 527 rice samples collected from 54 markets in five SSA countries. Grain quality characteristics, processing methods, and origin of samples were contrasted with toxin levels. In total, 72% of the samples had detectable AFs levels (range = 3.0 to 89.8 µg/kg). Forty-seven percent (47%) of the samples had AFs above 4 µg/kg, the European Union maximum level (ML), and were evaluated for cooccurrence with FBs, ZEN, and DON. Total AFs and ZEN cooccurred in 40% of the samples, and 30% of the positive ZEN samples had concentrations above the ML of 75 µg/kg. Total AFs did not co-occur with FBs and DON. Multivariate analysis revealed that length-to-width ratio (p < 0.0001), mixed variety for width (p = 0.04), and chalkiness (p = 0.009) significantly influenced aflatoxin concentrations. Slender grains had higher AFs concentrations than bold and medium grains (p < 0.0001). Possible strategies to mitigate mycotoxin contamination in rice include improving grain quality traits and practicing proper drying and hermetic storage before and after milling. These findings provide valuable insights for both domestic and international actors in establishing and strengthening regulations and management systems to mitigate rice mycotoxin contamination.
Q3

Association between anaemia and aflatoxin B1 and fumonisin B1 exposure in HIV-infected and HIV-uninfected pregnant women from Harare, Zimbabwe
Murashiki T.C., Mazhandu A.J., Zinyama-Gutsire R.B., Mutingwende I., Mazengera L.R., Duri K.
Aflatoxin B1 (AFB1) and fumonisin B1 (FB1) are poisons that contaminate poorly stored staple foods in resource-limited settings. Antenatal AFB1 and FB1 exposure may cause anaemia. We aimed to determine the associations of urinary aflatoxin M1 (AFM1) and FB1, biomarkers of AFB1 and FB1 exposure, respectively, with erythrocyte parameters and anaemia. A retrospective cross-sectional study was conducted in 68 HIV-infected and 61 HIV-uninfected pregnant women ≥ 20 weeks gestational age in Harare, Zimbabwe. AFM1 and FB1 were measured in urine via competitive ELISA, and levels were grouped into tertiles. The erythrocyte parameters assessed were haemoglobin (Hb), mean corpuscular volume, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, red blood cell (RBC), haematocrit (HCT), and red blood cell distribution width. Associations of urinary AFM1 and FB1 with erythrocyte parameters, and anaemia were assessed in a multiple regression controlled for potential confounders. The presence of FB1 in urine decreased Hb levels in all women (β= −0.98, 95% CI: −1.94, 0.02) and HIV-uninfected (β= −1.99, 95% CI: −3.71, −0.26). FB1 tertile 3 decreased Hb levels (β= −0.88, 95% CI: −1.74, 0.01) and HCT levels (β= −2.65, 95% CI: −5.26, 0.03) in HIV-infected. AFM1 tertile 2 decreased RBC levels in HIV-infected (β= −0.34, 95% CI: −0.71, −0.03). The presence of FB1 in urine increased anaemia risk in HIV-uninfected (OR: 10.68 95% CI: 1.02, 112.34). AFM1 tertile 2 increased macrocytic anaemia risk in HIV-infected (OR: 13.72, 95% CI: 0.92, 203.55). There is need to ensure food safety through monitoring and nutritional interventions to improve maternal-infant health outcomes.
Q3

Pleurotus spp.—an effective way in degradation mycotoxins? A comprehensive review
Zapaśnik A., Bryła M., Sokołowska B., Waśkiewicz A.
Abstract
Mycotoxins—secondary metabolites produced by filamentous fungal species—occur as a global problem in agriculture due to the reduction in crop quality and the negative effects on human and animal health. There is a need to develop environment-friendly methods of detoxification. In recent years, a number of biological methods for the removal/degradation of mycotoxins have been described. One of them—particularly interesting due to its high effectiveness—is mycoremediation, which involves the ability of Pleurotus spp. mushrooms to remove toxic contaminants from the environment and food. Pleurotus spp. biosynthesizes ligninolytic enzymes, such as laccase and manganese peroxidase that are the main factors of enzymatic degradation of various pollutants, including mycotoxins. The degradation process of mycotoxins (especially aflatoxins) with the participation of isolated enzymes reaches approximately 30–100%, depending on the culture conditions, substrate, and mediators used. In the food industry, their application may include, among others, the detoxification of animal feed from mycotoxins or fermentation products (e.g., juices and wines). While these applications are promising, they require further research to expand toxicological knowledge and optimize their use. This review presents current research on this new and very promising topic related to the use of edible Pleurotus spp. mushrooms in the process of biological degradation of toxic fungal metabolites.
Q3

Ergot alkaloids: comparison of extraction efficiencies for their monitoring in several cereal-solvent combinations by UPLC-MS/MS
Rollo E., Catellani D., Dall’Asta C., Dreolin N., Suman M.
To date, there are more than 80 ergot alkaloids identified; their distribution depends on different factors (e.g. geographic regions, host plants). These toxins can cause acute and chronic toxic effects on human health and commonly infect cereal crops such as triticale and rye, wheat, barley and oats. Considering the growing consumption of plant-based foods, the European Food Safety Authority has highlighted the need to develop risk assessment strategies. This work focused on the optimization of extraction efficiency, to quantify the main ergot alkaloids and their epimers, that are available on the market without any legal restriction (ergosine, ergocristine, ergocriptyne, ergocornine, ergosinine, ergocristinine, ergocriptinine and ergocorninine). Considering the quantification of 8 out of 12 regulated compounds by EU (sum of –ine and –inine forms), this approach can be defined as a screening method for a reliable estimation of the risk, specifically devoted to industrial stakeholders that can then possibly outsource to authorized external labs only the samples suspected of significant positivity. The effectiveness of three different extraction conditions (acidic, alkaline and neutral) followed by a rapid clean-up using dispersive solid-phase extraction with C18 sorbent was evaluated by ultra-performance liquid chromatography tandem quadrupole mass spectrometry (UPLC-MS/MS), resulting in a short chromatographic run (16 min). The method was developed and validated in five different cereal production chains (rye, oat, wheat, wheat gluten and baby food). The applicability of the method was examined by analyzing a set of 54 samples, including also other cereals like spelt, tritordeum and triticale, and evaluating also some reference materials.
Q3

Identification and characterization of Morganella morganii strain YC12-C3 and Enterococcus faecalis strain YC12-C10 and elucidation of its deoxynivalenol-degrading potential
An J., Chen Y., Zhou S., Gao Y., Yang C., Zhang J., Ou X., Wang Y., Jiang W., Zhou T., Yuan Q.
Deoxynivalenol ( DON) is one of the most harmful mycotoxins in food or feed or Traditional Chinese Medicine. An efficient and applicable method for the detoxification of DON is urgently developed. 1152 strains were isolated from the intestinal contents of crucian. Morganella morganii YC12-C3 and Enterococcus faecalis YC12-C10 were screened with the highest degradation rate of DON via HPLC methods. The optimal degradation condition of YC12-C3 and YC12-C10 is co-cultured 24 h and 36 h at 28 ℃ in LB medium with pH 7 and 1.0% inoculation dosage, respectively. LC–MS/MS and 1H NMR results show that YC12-C10 and YC12-C3 can transform DON to 3-deoxy-6-demethanol-DON, a new metabolite biotransformed from DON, by deoxidization at C3 hydroxy and de-methanal reaction at methanol moiety of C6. In addition, the DON-degradation in agricultural material assay showed that YC12-C10 and YC12-C3 can degrade 150 μg·kg−1 DON in Coix lacryma-jobi, with a degradation rate of 68.89% and 59.94%, respectively. This result shows that YC12-C10 and YC12-C3 have a sound efficiency in removing DON ability in Coix lacryma-jobi, providing a new strain resource and application technique for biological detoxification of DON in food or feed or TCM industry.
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Abstract and Applied Analysis
120 citations, 0.33%
|
|
AIP Conference Proceedings
120 citations, 0.33%
|
|
AIMS Mathematics
119 citations, 0.32%
|
|
Chaos, Solitons and Fractals
118 citations, 0.32%
|
|
Mathematische Zeitschrift
118 citations, 0.32%
|
|
Indagationes Mathematicae
114 citations, 0.31%
|
|
Rendiconti del Circolo Matematico di Palermo
114 citations, 0.31%
|
|
Ramanujan Journal
112 citations, 0.31%
|
|
Symmetry
106 citations, 0.29%
|
|
Journal of Applied Probability
104 citations, 0.28%
|
|
Combinatorics Probability and Computing
104 citations, 0.28%
|
|
Математические заметки
103 citations, 0.28%
|
|
Probability Theory and Related Fields
101 citations, 0.28%
|
|
Journal of Mathematics
97 citations, 0.26%
|
|
Mathematica Slovaca
96 citations, 0.26%
|
|
Theory of Probability and its Applications
94 citations, 0.26%
|
|
Asian-European Journal of Mathematics
92 citations, 0.25%
|
|
Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales - Serie A: Matematicas
92 citations, 0.25%
|
|
Discrete and Computational Geometry
90 citations, 0.25%
|
|
Mathematical Methods in the Applied Sciences
89 citations, 0.24%
|
|
Lithuanian Mathematical Journal
88 citations, 0.24%
|
|
Canadian Mathematical Bulletin
88 citations, 0.24%
|
|
Axioms
87 citations, 0.24%
|
|
Afrika Matematika
86 citations, 0.23%
|
|
Bulletin of the Malaysian Mathematical Sciences Society
84 citations, 0.23%
|
|
Acta Mathematica Scientia
83 citations, 0.23%
|
|
Numerical Functional Analysis and Optimization
83 citations, 0.23%
|
|
Applied Mathematics Letters
83 citations, 0.23%
|
|
Siberian Mathematical Journal
82 citations, 0.22%
|
|
Difference equations in normed spaces - Stability and oscillations
82 citations, 0.22%
|
|
Fuzzy Sets and Systems
81 citations, 0.22%
|
|
Random Structures and Algorithms
80 citations, 0.22%
|
|
Mathematika
80 citations, 0.22%
|
|
Order
79 citations, 0.22%
|
|
Mathematische Annalen
79 citations, 0.22%
|
|
International Mathematics Research Notices
79 citations, 0.22%
|
|
Nonlinearity
78 citations, 0.21%
|
|
Random Matrices
78 citations, 0.21%
|
|
Rocky Mountain Journal of Mathematics
77 citations, 0.21%
|
|
American Mathematical Monthly
76 citations, 0.21%
|
|
Constructive Approximation
76 citations, 0.21%
|
|
Georgian Mathematical Journal
76 citations, 0.21%
|
|
International Journal of Mathematics and Mathematical Sciences
75 citations, 0.2%
|
|
Stochastic Processes and their Applications
74 citations, 0.2%
|
|
Show all (70 more) | |
500
1000
1500
2000
2500
3000
3500
|
Citing publishers
2000
4000
6000
8000
10000
12000
14000
|
|
Springer Nature
13310 citations, 36.28%
|
|
Elsevier
8017 citations, 21.85%
|
|
Taylor & Francis
1517 citations, 4.13%
|
|
Wiley
1231 citations, 3.36%
|
|
Cambridge University Press
1229 citations, 3.35%
|
|
World Scientific
767 citations, 2.09%
|
|
Walter de Gruyter
698 citations, 1.9%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
631 citations, 1.72%
|
|
American Mathematical Society
565 citations, 1.54%
|
|
MDPI
555 citations, 1.51%
|
|
Pleiades Publishing
543 citations, 1.48%
|
|
Hindawi Limited
538 citations, 1.47%
|
|
Society for Industrial and Applied Mathematics (SIAM)
528 citations, 1.44%
|
|
IOP Publishing
294 citations, 0.8%
|
|
Steklov Mathematical Institute
275 citations, 0.75%
|
|
AIP Publishing
253 citations, 0.69%
|
|
American Institute of Mathematical Sciences (AIMS)
240 citations, 0.65%
|
|
Oxford University Press
166 citations, 0.45%
|
|
Akademiai Kiado
144 citations, 0.39%
|
|
Institute of Mathematical Statistics
139 citations, 0.38%
|
|
Canadian Mathematical Society
127 citations, 0.35%
|
|
Mathematical Association of America
100 citations, 0.27%
|
|
Association for Computing Machinery (ACM)
99 citations, 0.27%
|
|
Rocky Mountain Mathematics Consortium
92 citations, 0.25%
|
|
American Physical Society (APS)
83 citations, 0.23%
|
|
University of Nis
70 citations, 0.19%
|
|
Korean Mathematical Society
67 citations, 0.18%
|
|
Science in China Press
65 citations, 0.18%
|
|
EDP Sciences
60 citations, 0.16%
|
|
Social Science Electronic Publishing
58 citations, 0.16%
|
|
Hacettepe University
57 citations, 0.16%
|
|
Duke University Press
53 citations, 0.14%
|
|
Taehan Suhakhoe
53 citations, 0.14%
|
|
Mathematical Society of the Republic of China
52 citations, 0.14%
|
|
Tusi Mathematical Research Group (TMRG)
50 citations, 0.14%
|
|
Hans Publishers
49 citations, 0.13%
|
|
IOS Press
47 citations, 0.13%
|
|
Universitat Politecnica de Valencia
47 citations, 0.13%
|
|
Sociedade Brasileira de Matematica
46 citations, 0.13%
|
|
Mathematical Sciences Publishers
45 citations, 0.12%
|
|
Bolyaianum Universitatis
43 citations, 0.12%
|
|
Tohoku University Medical Press
35 citations, 0.1%
|
|
25 citations, 0.07%
|
|
National Inquiry Services Center (NISC)
25 citations, 0.07%
|
|
National Association of Directors of Nursing Administration in Long Term Care
24 citations, 0.07%
|
|
World Scientific and Engineering Academy and Society (WSEAS)
23 citations, 0.06%
|
|
Japan Academy
21 citations, 0.06%
|
|
21 citations, 0.06%
|
|
Institute of Electronics, Information and Communications Engineers (IEICE)
20 citations, 0.05%
|
|
University of California Press
19 citations, 0.05%
|
|
Royal Swedish Academy of Sciences
19 citations, 0.05%
|
|
Adam Mickiewicz University Poznan
19 citations, 0.05%
|
|
Mathematical Society of Japan (Project Euclid)
19 citations, 0.05%
|
|
SAGE
17 citations, 0.05%
|
|
Kyungpook University
17 citations, 0.05%
|
|
Kalasalingam University
17 citations, 0.05%
|
|
Emerald
16 citations, 0.04%
|
|
King Saud University
16 citations, 0.04%
|
|
Geometry & Topology Publications
16 citations, 0.04%
|
|
National Library of Serbia
16 citations, 0.04%
|
|
Tbilisi Centre for Mathematical Sciences
16 citations, 0.04%
|
|
Institute for Operations Research and the Management Sciences (INFORMS)
15 citations, 0.04%
|
|
University of Warwick
14 citations, 0.04%
|
|
Institut Mathematique
14 citations, 0.04%
|
|
International Press of Boston
14 citations, 0.04%
|
|
The Royal Society
13 citations, 0.04%
|
|
13 citations, 0.04%
|
|
Central Missouri State University
13 citations, 0.04%
|
|
12 citations, 0.03%
|
|
Princeton University Press
12 citations, 0.03%
|
|
Editura Universitatea Alexendru Ion Cuza
12 citations, 0.03%
|
|
Trans Tech Publications
10 citations, 0.03%
|
|
Associacao Brasileira de Estatistica
10 citations, 0.03%
|
|
IGI Global
9 citations, 0.02%
|
|
European Mathematical Society - EMS - Publishing House GmbH
9 citations, 0.02%
|
|
8 citations, 0.02%
|
|
8 citations, 0.02%
|
|
Global Science Press
8 citations, 0.02%
|
|
Faculty of Mathematics, Kyushu University
8 citations, 0.02%
|
|
American Chemical Society (ACS)
7 citations, 0.02%
|
|
Frontiers Media S.A.
7 citations, 0.02%
|
|
7 citations, 0.02%
|
|
Wilmington Scientific Publishers
7 citations, 0.02%
|
|
electronic proceedings in theoretical computer science, eptcs
7 citations, 0.02%
|
|
7 citations, 0.02%
|
|
Kazan Federal University
7 citations, 0.02%
|
|
Alexandria University
7 citations, 0.02%
|
|
University of Chicago Press
6 citations, 0.02%
|
|
Kyushu University
6 citations, 0.02%
|
|
Copernicus
6 citations, 0.02%
|
|
6 citations, 0.02%
|
|
SPIE-Intl Soc Optical Eng
6 citations, 0.02%
|
|
The Econometric Society
6 citations, 0.02%
|
|
Public Library of Science (PLoS)
5 citations, 0.01%
|
|
International Union of Crystallography (IUCr)
5 citations, 0.01%
|
|
Saratov State University
5 citations, 0.01%
|
|
Science Alert
5 citations, 0.01%
|
|
Publishing House Belorusskaya Nauka
5 citations, 0.01%
|
|
Universidad Catolica del Norte - Chile
5 citations, 0.01%
|
|
University of Zagreb, Faculty of Science, Department of Mathematics
5 citations, 0.01%
|
|
Show all (70 more) | |
2000
4000
6000
8000
10000
12000
14000
|
Publishing organizations
100
200
300
400
500
600
|
|
Eötvös Loránd University (University of Budapest)
505 publications, 8.91%
|
|
University of Szeged
123 publications, 2.17%
|
|
University of Debrecen
113 publications, 1.99%
|
|
Budapest University of Technology and Economics
99 publications, 1.75%
|
|
Alfréd Rényi Institute of Mathematics
80 publications, 1.41%
|
|
University of Alberta
35 publications, 0.62%
|
|
Shandong University
27 publications, 0.48%
|
|
Ivane Javakhishvili Tbilisi State University
26 publications, 0.46%
|
|
University of Basilicata
25 publications, 0.44%
|
|
Rutgers, The State University of New Jersey
25 publications, 0.44%
|
|
Hebrew University of Jerusalem
24 publications, 0.42%
|
|
Adam Mickiewicz University in Poznań
23 publications, 0.41%
|
|
Charles University
21 publications, 0.37%
|
|
University of Manitoba
21 publications, 0.37%
|
|
Tel Aviv University
20 publications, 0.35%
|
|
University of Warsaw
20 publications, 0.35%
|
|
Polytechnic University of Valencia
20 publications, 0.35%
|
|
Cairo University
19 publications, 0.34%
|
|
Kyungpook National University
19 publications, 0.34%
|
|
University of Lucknow
18 publications, 0.32%
|
|
Zhejiang Sci-Tech University
18 publications, 0.32%
|
|
Bar-Ilan University
17 publications, 0.3%
|
|
Graz University of Technology
17 publications, 0.3%
|
|
University of Florida
17 publications, 0.3%
|
|
Selcuk University
16 publications, 0.28%
|
|
Auburn University
16 publications, 0.28%
|
|
University of Seville
16 publications, 0.28%
|
|
University of Lodz
16 publications, 0.28%
|
|
University of Calgary
16 publications, 0.28%
|
|
Sapienza University of Rome
15 publications, 0.26%
|
|
University of Tasmania
15 publications, 0.26%
|
|
University of California, Santa Barbara
15 publications, 0.26%
|
|
Justus Liebig University Giessen
15 publications, 0.26%
|
|
Hacettepe University
14 publications, 0.25%
|
|
University of Delhi
14 publications, 0.25%
|
|
Kangwon National University
14 publications, 0.25%
|
|
Kobe University
14 publications, 0.25%
|
|
University of Waterloo
14 publications, 0.25%
|
|
Sichuan University
13 publications, 0.23%
|
|
University of Helsinki
13 publications, 0.23%
|
|
Hunan Normal University
13 publications, 0.23%
|
|
University of Miskolc
13 publications, 0.23%
|
|
University of Illinois Urbana-Champaign
13 publications, 0.23%
|
|
University of Vienna
13 publications, 0.23%
|
|
Johannes Kepler University of Linz
13 publications, 0.23%
|
|
University of Wisconsin–Milwaukee
13 publications, 0.23%
|
|
Brock University
13 publications, 0.23%
|
|
N.N. Krasovskii Institute of Mathematics and Mechanics of the Ural Branch of the Russian Academy of Sciences
12 publications, 0.21%
|
|
Indian Statistical Institute
12 publications, 0.21%
|
|
Central South University
12 publications, 0.21%
|
|
Nanjing University
12 publications, 0.21%
|
|
Wuhan University
12 publications, 0.21%
|
|
University College London
12 publications, 0.21%
|
|
University of Cape Town
12 publications, 0.21%
|
|
University of the Witwatersrand
12 publications, 0.21%
|
|
North Carolina State University
12 publications, 0.21%
|
|
Hangzhou Normal University
12 publications, 0.21%
|
|
RWTH Aachen University
12 publications, 0.21%
|
|
Paderborn University
12 publications, 0.21%
|
|
Jagiellonian University
12 publications, 0.21%
|
|
Darmstadt University of Applied Sciences
12 publications, 0.21%
|
|
University of Toronto
12 publications, 0.21%
|
|
University of Granada
12 publications, 0.21%
|
|
University of Sarajevo
12 publications, 0.21%
|
|
Ankara University
11 publications, 0.19%
|
|
University of Allahabad
11 publications, 0.19%
|
|
University of Burdwan
11 publications, 0.19%
|
|
Nanjing University of Information Science and Technology
11 publications, 0.19%
|
|
China Jiliang University
11 publications, 0.19%
|
|
University of Johannesburg
11 publications, 0.19%
|
|
Dalhousie University
11 publications, 0.19%
|
|
Technical University of Berlin
11 publications, 0.19%
|
|
University of Almería
11 publications, 0.19%
|
|
Oita University
11 publications, 0.19%
|
|
University of Louisville
11 publications, 0.19%
|
|
Ural Federal University
10 publications, 0.18%
|
|
Zhejiang University
10 publications, 0.18%
|
|
Nanjing Normal University
10 publications, 0.18%
|
|
Michigan State University
10 publications, 0.18%
|
|
Georgia Institute of technology
10 publications, 0.18%
|
|
University of Arizona
10 publications, 0.18%
|
|
Vienna University of Technology
10 publications, 0.18%
|
|
University of South Florida
10 publications, 0.18%
|
|
National Autonomous University of Mexico
10 publications, 0.18%
|
|
Pedagogical University of Kraków
10 publications, 0.18%
|
|
University of Salzburg
10 publications, 0.18%
|
|
Carleton University
10 publications, 0.18%
|
|
University of Belgrade
10 publications, 0.18%
|
|
University of La Laguna
10 publications, 0.18%
|
|
Université Paris-Saclay
10 publications, 0.18%
|
|
Lomonosov Moscow State University
9 publications, 0.16%
|
|
Francisk Skorina Gomel State University
9 publications, 0.16%
|
|
Jilin University
9 publications, 0.16%
|
|
Yarmouk University
9 publications, 0.16%
|
|
University of Sydney
9 publications, 0.16%
|
|
University of Auckland
9 publications, 0.16%
|
|
Óbuda University
9 publications, 0.16%
|
|
Autonomous University of Madrid
9 publications, 0.16%
|
|
University of Duisburg-Essen
9 publications, 0.16%
|
|
Okayama University
9 publications, 0.16%
|
|
Show all (70 more) | |
100
200
300
400
500
600
|
Publishing organizations in 5 years
5
10
15
20
25
|
|
Alfréd Rényi Institute of Mathematics
21 publications, 4.42%
|
|
Rutgers, The State University of New Jersey
11 publications, 2.32%
|
|
Eötvös Loránd University (University of Budapest)
11 publications, 2.32%
|
|
Hebrew University of Jerusalem
9 publications, 1.89%
|
|
N.N. Krasovskii Institute of Mathematics and Mechanics of the Ural Branch of the Russian Academy of Sciences
7 publications, 1.47%
|
|
Ural Federal University
6 publications, 1.26%
|
|
Central South University
6 publications, 1.26%
|
|
Charles University
6 publications, 1.26%
|
|
Budapest University of Technology and Economics
6 publications, 1.26%
|
|
Óbuda University
6 publications, 1.26%
|
|
China University of Mining and Technology
5 publications, 1.05%
|
|
Shandong University
5 publications, 1.05%
|
|
University of Debrecen
5 publications, 1.05%
|
|
Homi Bhabha National Institute
4 publications, 0.84%
|
|
University of Oxford
4 publications, 0.84%
|
|
Cairo University
4 publications, 0.84%
|
|
University of Szeged
4 publications, 0.84%
|
|
Moscow Institute of Physics and Technology
3 publications, 0.63%
|
|
Steklov Mathematical Institute of Russian Academy of Sciences
3 publications, 0.63%
|
|
Ivane Javakhishvili Tbilisi State University
3 publications, 0.63%
|
|
Kutaisi International University
3 publications, 0.63%
|
|
Vietnam National University Ho Chi Minh City
3 publications, 0.63%
|
|
Tel Aviv University
3 publications, 0.63%
|
|
Aix-Marseille University
3 publications, 0.63%
|
|
Sidi Mohamed Ben Abdellah University
3 publications, 0.63%
|
|
Taiyuan University of Technology
3 publications, 0.63%
|
|
Soochow University (Suzhou)
3 publications, 0.63%
|
|
Anhui Normal University
3 publications, 0.63%
|
|
Changsha University of Science and Technology
3 publications, 0.63%
|
|
Graz University of Technology
3 publications, 0.63%
|
|
Xinjiang University
3 publications, 0.63%
|
|
Hiroshima University
3 publications, 0.63%
|
|
Nihon University
3 publications, 0.63%
|
|
Oita University
3 publications, 0.63%
|
|
Brock University
3 publications, 0.63%
|
|
University of Toronto
3 publications, 0.63%
|
|
University of Louisville
3 publications, 0.63%
|
|
Saint Petersburg State University
2 publications, 0.42%
|
|
Ural State University of Economics
2 publications, 0.42%
|
|
Yerevan State University
2 publications, 0.42%
|
|
University of Georgia
2 publications, 0.42%
|
|
Akaki Tsereteli State University
2 publications, 0.42%
|
|
United Arab Emirates University
2 publications, 0.42%
|
|
Birla Institute of Technology and Science, Pilani
2 publications, 0.42%
|
|
University of Mohaghegh Ardabili
2 publications, 0.42%
|
|
Akdeniz University
2 publications, 0.42%
|
|
Jadavpur University
2 publications, 0.42%
|
|
Sardar Vallabhbhai National Institute of Technology Surat
2 publications, 0.42%
|
|
National Institute of Science Education and Research
2 publications, 0.42%
|
|
Hanoi University of Science and Technology
2 publications, 0.42%
|
|
South China University of Technology
2 publications, 0.42%
|
|
Tongji University
2 publications, 0.42%
|
|
Sichuan University
2 publications, 0.42%
|
|
The MARA Technological University
2 publications, 0.42%
|
|
Uppsala University
2 publications, 0.42%
|
|
University of Lorraine
2 publications, 0.42%
|
|
Nanjing Normal University
2 publications, 0.42%
|
|
Nanjing University of Information Science and Technology
2 publications, 0.42%
|
|
Nanjing University of Posts and Telecommunications
2 publications, 0.42%
|
|
Nanjing University
2 publications, 0.42%
|
|
Chongqing University
2 publications, 0.42%
|
|
Hebei Normal University
2 publications, 0.42%
|
|
University of New South Wales
2 publications, 0.42%
|
|
Henan Normal University
2 publications, 0.42%
|
|
University College London
2 publications, 0.42%
|
|
Shandong Normal University
2 publications, 0.42%
|
|
Jiaxing University
2 publications, 0.42%
|
|
Changshu Institute of Technology
2 publications, 0.42%
|
|
Sorbonne University
2 publications, 0.42%
|
|
Tongling University
2 publications, 0.42%
|
|
Universidade Federal do Rio de Janeiro
2 publications, 0.42%
|
|
University of Pisa
2 publications, 0.42%
|
|
Northwest University
2 publications, 0.42%
|
|
Xi'an Shiyou University
2 publications, 0.42%
|
|
University of Catania
2 publications, 0.42%
|
|
University of Messina
2 publications, 0.42%
|
|
Georgia Institute of technology
2 publications, 0.42%
|
|
Macquarie University
2 publications, 0.42%
|
|
University of Johannesburg
2 publications, 0.42%
|
|
Princeton University
2 publications, 0.42%
|
|
Auburn University
2 publications, 0.42%
|
|
Chinese University of Hong Kong
2 publications, 0.42%
|
|
University of Illinois at Chicago
2 publications, 0.42%
|
|
Nagoya University
2 publications, 0.42%
|
|
Hunan University
2 publications, 0.42%
|
|
National Autonomous University of Mexico
2 publications, 0.42%
|
|
Purdue University Northwest
2 publications, 0.42%
|
|
Johann Radon Institute for Computational and Applied Mathematics of the Austrian Academy of Sciences
2 publications, 0.42%
|
|
Johannes Kepler University of Linz
2 publications, 0.42%
|
|
University of Salzburg
2 publications, 0.42%
|
|
Technical University of Cluj-Napoca
2 publications, 0.42%
|
|
Adam Mickiewicz University in Poznań
2 publications, 0.42%
|
|
University of Maribor
2 publications, 0.42%
|
|
University of Ljubljana
2 publications, 0.42%
|
|
University of North Carolina at Charlotte
2 publications, 0.42%
|
|
Indiana University Bloomington
2 publications, 0.42%
|
|
University of York
2 publications, 0.42%
|
|
Institute of Mathematics, Physics, and Mechanics
2 publications, 0.42%
|
|
Lomonosov Moscow State University
1 publication, 0.21%
|
|
Institute for Information Transmission Problems of the Russian Academy of Sciences
1 publication, 0.21%
|
|
Show all (70 more) | |
5
10
15
20
25
|
Publishing countries
200
400
600
800
1000
1200
1400
1600
|
|
Hungary
|
Hungary, 1521, 26.84%
Hungary
1521 publications, 26.84%
|
USA
|
USA, 651, 11.49%
USA
651 publications, 11.49%
|
China
|
China, 464, 8.19%
China
464 publications, 8.19%
|
Germany
|
Germany, 277, 4.89%
Germany
277 publications, 4.89%
|
India
|
India, 268, 4.73%
India
268 publications, 4.73%
|
Poland
|
Poland, 248, 4.38%
Poland
248 publications, 4.38%
|
Canada
|
Canada, 225, 3.97%
Canada
225 publications, 3.97%
|
Japan
|
Japan, 201, 3.55%
Japan
201 publications, 3.55%
|
Spain
|
Spain, 178, 3.14%
Spain
178 publications, 3.14%
|
Italy
|
Italy, 136, 2.4%
Italy
136 publications, 2.4%
|
France
|
France, 119, 2.1%
France
119 publications, 2.1%
|
Turkey
|
Turkey, 118, 2.08%
Turkey
118 publications, 2.08%
|
Austria
|
Austria, 96, 1.69%
Austria
96 publications, 1.69%
|
United Kingdom
|
United Kingdom, 91, 1.61%
United Kingdom
91 publications, 1.61%
|
Republic of Korea
|
Republic of Korea, 81, 1.43%
Republic of Korea
81 publications, 1.43%
|
Russia
|
Russia, 80, 1.41%
Russia
80 publications, 1.41%
|
Israel
|
Israel, 76, 1.34%
Israel
76 publications, 1.34%
|
Australia
|
Australia, 75, 1.32%
Australia
75 publications, 1.32%
|
South Africa
|
South Africa, 75, 1.32%
South Africa
75 publications, 1.32%
|
Iran
|
Iran, 72, 1.27%
Iran
72 publications, 1.27%
|
Romania
|
Romania, 68, 1.2%
Romania
68 publications, 1.2%
|
Czech Republic
|
Czech Republic, 60, 1.06%
Czech Republic
60 publications, 1.06%
|
Brazil
|
Brazil, 53, 0.94%
Brazil
53 publications, 0.94%
|
Mexico
|
Mexico, 46, 0.81%
Mexico
46 publications, 0.81%
|
Vietnam
|
Vietnam, 44, 0.78%
Vietnam
44 publications, 0.78%
|
Serbia
|
Serbia, 44, 0.78%
Serbia
44 publications, 0.78%
|
Egypt
|
Egypt, 40, 0.71%
Egypt
40 publications, 0.71%
|
USSR
|
USSR, 39, 0.69%
USSR
39 publications, 0.69%
|
Croatia
|
Croatia, 36, 0.64%
Croatia
36 publications, 0.64%
|
Georgia
|
Georgia, 32, 0.56%
Georgia
32 publications, 0.56%
|
Netherlands
|
Netherlands, 32, 0.56%
Netherlands
32 publications, 0.56%
|
Finland
|
Finland, 29, 0.51%
Finland
29 publications, 0.51%
|
Yugoslavia
|
Yugoslavia, 29, 0.51%
Yugoslavia
29 publications, 0.51%
|
Slovakia
|
Slovakia, 28, 0.49%
Slovakia
28 publications, 0.49%
|
Ukraine
|
Ukraine, 27, 0.48%
Ukraine
27 publications, 0.48%
|
Belgium
|
Belgium, 27, 0.48%
Belgium
27 publications, 0.48%
|
Bulgaria
|
Bulgaria, 27, 0.48%
Bulgaria
27 publications, 0.48%
|
Saudi Arabia
|
Saudi Arabia, 25, 0.44%
Saudi Arabia
25 publications, 0.44%
|
Sweden
|
Sweden, 25, 0.44%
Sweden
25 publications, 0.44%
|
Greece
|
Greece, 24, 0.42%
Greece
24 publications, 0.42%
|
Morocco
|
Morocco, 23, 0.41%
Morocco
23 publications, 0.41%
|
Venezuela
|
Venezuela, 22, 0.39%
Venezuela
22 publications, 0.39%
|
Jordan
|
Jordan, 19, 0.34%
Jordan
19 publications, 0.34%
|
Lithuania
|
Lithuania, 19, 0.34%
Lithuania
19 publications, 0.34%
|
Portugal
|
Portugal, 18, 0.32%
Portugal
18 publications, 0.32%
|
Argentina
|
Argentina, 17, 0.3%
Argentina
17 publications, 0.3%
|
Slovenia
|
Slovenia, 17, 0.3%
Slovenia
17 publications, 0.3%
|
Czechoslovakia
|
Czechoslovakia, 16, 0.28%
Czechoslovakia
16 publications, 0.28%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 15, 0.26%
Bosnia and Herzegovina
15 publications, 0.26%
|
Switzerland
|
Switzerland, 15, 0.26%
Switzerland
15 publications, 0.26%
|
Denmark
|
Denmark, 13, 0.23%
Denmark
13 publications, 0.23%
|
New Zealand
|
New Zealand, 13, 0.23%
New Zealand
13 publications, 0.23%
|
Tunisia
|
Tunisia, 13, 0.23%
Tunisia
13 publications, 0.23%
|
Ireland
|
Ireland, 12, 0.21%
Ireland
12 publications, 0.21%
|
Belarus
|
Belarus, 11, 0.19%
Belarus
11 publications, 0.19%
|
Lebanon
|
Lebanon, 11, 0.19%
Lebanon
11 publications, 0.19%
|
Malaysia
|
Malaysia, 11, 0.19%
Malaysia
11 publications, 0.19%
|
Singapore
|
Singapore, 11, 0.19%
Singapore
11 publications, 0.19%
|
Thailand
|
Thailand, 10, 0.18%
Thailand
10 publications, 0.18%
|
Kuwait
|
Kuwait, 9, 0.16%
Kuwait
9 publications, 0.16%
|
Nigeria
|
Nigeria, 8, 0.14%
Nigeria
8 publications, 0.14%
|
Pakistan
|
Pakistan, 7, 0.12%
Pakistan
7 publications, 0.12%
|
Estonia
|
Estonia, 6, 0.11%
Estonia
6 publications, 0.11%
|
Armenia
|
Armenia, 6, 0.11%
Armenia
6 publications, 0.11%
|
Norway
|
Norway, 6, 0.11%
Norway
6 publications, 0.11%
|
Chile
|
Chile, 6, 0.11%
Chile
6 publications, 0.11%
|
Colombia
|
Colombia, 5, 0.09%
Colombia
5 publications, 0.09%
|
Mongolia
|
Mongolia, 5, 0.09%
Mongolia
5 publications, 0.09%
|
Uzbekistan
|
Uzbekistan, 5, 0.09%
Uzbekistan
5 publications, 0.09%
|
Libya
|
Libya, 4, 0.07%
Libya
4 publications, 0.07%
|
Bangladesh
|
Bangladesh, 3, 0.05%
Bangladesh
3 publications, 0.05%
|
Bahrain
|
Bahrain, 3, 0.05%
Bahrain
3 publications, 0.05%
|
Luxembourg
|
Luxembourg, 3, 0.05%
Luxembourg
3 publications, 0.05%
|
Malta
|
Malta, 3, 0.05%
Malta
3 publications, 0.05%
|
Kazakhstan
|
Kazakhstan, 2, 0.04%
Kazakhstan
2 publications, 0.04%
|
Azerbaijan
|
Azerbaijan, 2, 0.04%
Azerbaijan
2 publications, 0.04%
|
Algeria
|
Algeria, 2, 0.04%
Algeria
2 publications, 0.04%
|
Benin
|
Benin, 2, 0.04%
Benin
2 publications, 0.04%
|
Zimbabwe
|
Zimbabwe, 2, 0.04%
Zimbabwe
2 publications, 0.04%
|
Iraq
|
Iraq, 2, 0.04%
Iraq
2 publications, 0.04%
|
Kenya
|
Kenya, 2, 0.04%
Kenya
2 publications, 0.04%
|
Cyprus
|
Cyprus, 2, 0.04%
Cyprus
2 publications, 0.04%
|
Moldova
|
Moldova, 2, 0.04%
Moldova
2 publications, 0.04%
|
UAE
|
UAE, 2, 0.04%
UAE
2 publications, 0.04%
|
Oman
|
Oman, 2, 0.04%
Oman
2 publications, 0.04%
|
Montenegro
|
Montenegro, 2, 0.04%
Montenegro
2 publications, 0.04%
|
Botswana
|
Botswana, 1, 0.02%
Botswana
1 publication, 0.02%
|
Yemen
|
Yemen, 1, 0.02%
Yemen
1 publication, 0.02%
|
Côte d'Ivoire
|
Côte d'Ivoire, 1, 0.02%
Côte d'Ivoire
1 publication, 0.02%
|
Madagascar
|
Madagascar, 1, 0.02%
Madagascar
1 publication, 0.02%
|
Malawi
|
Malawi, 1, 0.02%
Malawi
1 publication, 0.02%
|
Namibia
|
Namibia, 1, 0.02%
Namibia
1 publication, 0.02%
|
North Macedonia
|
North Macedonia, 1, 0.02%
North Macedonia
1 publication, 0.02%
|
Tajikistan
|
Tajikistan, 1, 0.02%
Tajikistan
1 publication, 0.02%
|
Uruguay
|
Uruguay, 1, 0.02%
Uruguay
1 publication, 0.02%
|
Eswatini
|
Eswatini, 1, 0.02%
Eswatini
1 publication, 0.02%
|
Kosovo
|
Kosovo, 1, 0.02%
Kosovo
1 publication, 0.02%
|
Show all (67 more) | |
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Publishing countries in 5 years
10
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40
50
60
70
80
90
|
|
China
|
China, 85, 17.89%
China
85 publications, 17.89%
|
USA
|
USA, 58, 12.21%
USA
58 publications, 12.21%
|
Hungary
|
Hungary, 44, 9.26%
Hungary
44 publications, 9.26%
|
India
|
India, 28, 5.89%
India
28 publications, 5.89%
|
Japan
|
Japan, 21, 4.42%
Japan
21 publications, 4.42%
|
Russia
|
Russia, 17, 3.58%
Russia
17 publications, 3.58%
|
Poland
|
Poland, 17, 3.58%
Poland
17 publications, 3.58%
|
France
|
France, 16, 3.37%
France
16 publications, 3.37%
|
Germany
|
Germany, 15, 3.16%
Germany
15 publications, 3.16%
|
United Kingdom
|
United Kingdom, 14, 2.95%
United Kingdom
14 publications, 2.95%
|
Canada
|
Canada, 14, 2.95%
Canada
14 publications, 2.95%
|
Morocco
|
Morocco, 14, 2.95%
Morocco
14 publications, 2.95%
|
Mexico
|
Mexico, 13, 2.74%
Mexico
13 publications, 2.74%
|
Israel
|
Israel, 12, 2.53%
Israel
12 publications, 2.53%
|
Italy
|
Italy, 12, 2.53%
Italy
12 publications, 2.53%
|
Ukraine
|
Ukraine, 11, 2.32%
Ukraine
11 publications, 2.32%
|
Czech Republic
|
Czech Republic, 10, 2.11%
Czech Republic
10 publications, 2.11%
|
Austria
|
Austria, 9, 1.89%
Austria
9 publications, 1.89%
|
Iran
|
Iran, 9, 1.89%
Iran
9 publications, 1.89%
|
Vietnam
|
Vietnam, 8, 1.68%
Vietnam
8 publications, 1.68%
|
Turkey
|
Turkey, 8, 1.68%
Turkey
8 publications, 1.68%
|
Georgia
|
Georgia, 7, 1.47%
Georgia
7 publications, 1.47%
|
Spain
|
Spain, 7, 1.47%
Spain
7 publications, 1.47%
|
Australia
|
Australia, 6, 1.26%
Australia
6 publications, 1.26%
|
Brazil
|
Brazil, 6, 1.26%
Brazil
6 publications, 1.26%
|
Romania
|
Romania, 6, 1.26%
Romania
6 publications, 1.26%
|
Serbia
|
Serbia, 6, 1.26%
Serbia
6 publications, 1.26%
|
South Africa
|
South Africa, 6, 1.26%
South Africa
6 publications, 1.26%
|
Egypt
|
Egypt, 5, 1.05%
Egypt
5 publications, 1.05%
|
Argentina
|
Argentina, 4, 0.84%
Argentina
4 publications, 0.84%
|
Croatia
|
Croatia, 4, 0.84%
Croatia
4 publications, 0.84%
|
Armenia
|
Armenia, 3, 0.63%
Armenia
3 publications, 0.63%
|
Ireland
|
Ireland, 3, 0.63%
Ireland
3 publications, 0.63%
|
Lithuania
|
Lithuania, 3, 0.63%
Lithuania
3 publications, 0.63%
|
Netherlands
|
Netherlands, 3, 0.63%
Netherlands
3 publications, 0.63%
|
Saudi Arabia
|
Saudi Arabia, 3, 0.63%
Saudi Arabia
3 publications, 0.63%
|
Slovenia
|
Slovenia, 3, 0.63%
Slovenia
3 publications, 0.63%
|
Benin
|
Benin, 2, 0.42%
Benin
2 publications, 0.42%
|
Greece
|
Greece, 2, 0.42%
Greece
2 publications, 0.42%
|
Malaysia
|
Malaysia, 2, 0.42%
Malaysia
2 publications, 0.42%
|
UAE
|
UAE, 2, 0.42%
UAE
2 publications, 0.42%
|
Republic of Korea
|
Republic of Korea, 2, 0.42%
Republic of Korea
2 publications, 0.42%
|
Slovakia
|
Slovakia, 2, 0.42%
Slovakia
2 publications, 0.42%
|
Sweden
|
Sweden, 2, 0.42%
Sweden
2 publications, 0.42%
|
Algeria
|
Algeria, 1, 0.21%
Algeria
1 publication, 0.21%
|
Bulgaria
|
Bulgaria, 1, 0.21%
Bulgaria
1 publication, 0.21%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 1, 0.21%
Bosnia and Herzegovina
1 publication, 0.21%
|
Yemen
|
Yemen, 1, 0.21%
Yemen
1 publication, 0.21%
|
Cyprus
|
Cyprus, 1, 0.21%
Cyprus
1 publication, 0.21%
|
Colombia
|
Colombia, 1, 0.21%
Colombia
1 publication, 0.21%
|
Côte d'Ivoire
|
Côte d'Ivoire, 1, 0.21%
Côte d'Ivoire
1 publication, 0.21%
|
Namibia
|
Namibia, 1, 0.21%
Namibia
1 publication, 0.21%
|
Norway
|
Norway, 1, 0.21%
Norway
1 publication, 0.21%
|
Pakistan
|
Pakistan, 1, 0.21%
Pakistan
1 publication, 0.21%
|
Singapore
|
Singapore, 1, 0.21%
Singapore
1 publication, 0.21%
|
Thailand
|
Thailand, 1, 0.21%
Thailand
1 publication, 0.21%
|
Tunisia
|
Tunisia, 1, 0.21%
Tunisia
1 publication, 0.21%
|
Uzbekistan
|
Uzbekistan, 1, 0.21%
Uzbekistan
1 publication, 0.21%
|
Finland
|
Finland, 1, 0.21%
Finland
1 publication, 0.21%
|
Chile
|
Chile, 1, 0.21%
Chile
1 publication, 0.21%
|
Switzerland
|
Switzerland, 1, 0.21%
Switzerland
1 publication, 0.21%
|
Show all (31 more) | |
10
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40
50
60
70
80
90
|
1 profile journal article
El-Saady Kamal
22 publications,
48 citations
h-index: 4