Open Access
Pediatric Hematology/Oncology and Immunopathology
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Fund Doctors, Innovations, Science for Children
ISSN:
17261708, 24149314
SCImago
Q4
SJR
0.120
CiteScore
0.4
Categories
Hematology
Immunology
Immunology and Allergy
Oncology
Pediatrics, Perinatology and Child Health
Areas
Immunology and Microbiology
Medicine
Years of issue
2002-2024
journal names
Pediatric Hematology/Oncology and Immunopathology
Top-3 citing journals
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Pediatric Hematology/Oncology and Immunopathology
(184 citations)
Russian Journal of Pediatric Hematology and Oncology
(33 citations)
![Oncogematologiya](/storage/images/resized/h7VqwIS9SIdw1p0X0HgUDKwed9MCAt9vlf7wMp3w_large.webp)
Oncogematologiya
(11 citations)
Top-3 organizations
Top-3 countries
Most cited in 5 years
Found
Publications found: 5483
Q2
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Broadly Targeted Metabolomics Analysis of Differential Metabolites Between Bupleurum chinense DC. and Bupleurum scorzonerifolium Willd.
Li M., Zhang Q., Zhu T., Liu G., Chen W., Chen Y., Bu X., Zhang Z., Zhang Y.
Background/Objectives: Bupleuri Radix is a plant in the Apiaceae family Bupleurum Chinense DC. or Bupleurum scorzonerifolium Willd. root. The dissimilarities in the metabolite profiles of plants directly correlate with the disparities in their clinical efficacy. Methods: Therefore, the wild Bupleurum Chinense DC. (YBC) and wild Bupleurum scorzonerifolium Willd. (YNC) were used as research materials. They were analyzed using the UPLC-MS/MS and the similarities and differences were uncovered based on differential metabolites. Results: Our results proved that the differences in clinical efficacy between YBC and YNC may be attributed to their distinct metabolite profiles, as follows: (1) a total of 12 classes of 2059 metabolites were identified in the roots, with phenolic acids, terpenoids, and flavonoids being the most abundant metabolic products, with 2026 shared components between the two, 2045 in YBC, and 2040 in YNC; (2) a total of 718 differential metabolites were identified, accounting for 35.44% of the shared metabolites. Among them, YBC had 452 metabolites with higher content relative to YNC, representing 62.95%, and 266 components with lower content, representing 37.05%; (3) the KEEG enrichment analysis results show that the differential metabolic pathways are flavone and flavonol biosynthesis, linoleic acid metabolism, arachidonic acid metabolism, sesquiterpenoid and triterpenoid biosynthesis, and linolenic acid metabolism. Conclusions: These new findings will serve as a foundation for further study of the BR biosynthetic pathway and offer insights into the practical use of traditional Chinese medicine in clinical settings.
Q2
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The Potential Role of Intestinal Microbiota on the Intestine-Protective and Lipid-Lowering Effects of Berberine in Zebrafish (Danio rerio) Under High-Lipid Stress
Gao C., Wang H., Xue X., Qi L., Lin Y., Wang L.
Background: Berberine has extremely low oral bioavailability, but shows a potent lipid-lowering effect, indicating its potential role in regulating intestinal microbiota, which has not been investigated. Methods: In the present study, five experimental diets, a control diet (Con), a high-lipid diet (HL), and high-lipid·diets·supplemented with an antibiotic cocktail (HLA), berberine (HLB), or both (HLAB) were fed to zebrafish (Danio rerio) for 30 days. Results: The HLB group showed significantly greater weight gain and feed intake than the HLA and other groups, respectively (p < 0.05). Hepatic triglyceride (TG) and total cholesterol (TC) levels, lipogenesis, and proinflammatory cytokine gene expression were significantly upregulated by the high-lipid diet, but significantly downregulated by berberine supplementation. Conversely, the expression levels of intestinal and/or hepatic farnesoid X receptor (fxr), Takeda G protein-coupled receptor 5 (tgr5), lipolysis genes, and zonula occludens 1 (zo1) exhibited the opposite trend. Compared with the HLB group, the HLAB group displayed significantly greater hepatic TG content and proinflammatory cytokine expression, but significantly lower intestinal bile salt hydrolase (BSH) activity and intestinal and/or hepatic fxr and tgr5 expression levels. The HL treatment decreased the abundance of certain probiotic bacteria (e.g., Microbacterium, Cetobacterium, and Gemmobacter) and significantly increased the pathways involved in cytochrome P450, p53 signaling, and ATP-binding cassette (ABC) transporters. The HLB group increased some probiotic bacteria abundance, particularly BSH-producing bacteria (e.g., Escherichia Shigella). Compared with the HLB group, the abundance of BSH-producing bacteria (e.g., Bifidobacterium and Enterococcus) and pathways related to Notch signaling and Wnt signaling were reduced in the HLAB group. Conclusions: This study revealed that berberine’s lipid-lowering and intestine-protective effects are closely related to the intestinal microbiota, especially BSH-producing bacteria.
Q2
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Potential Biomarkers of Fatal Hypothermia Revealed by UHPLC-MS Metabolomics in Mice
Cao X., Wu Z., Ma X., Deng W., Chen D., Liu J., Li J., Wang H., Pei B., Zhao D., Wang Q.
Background: The postmortem diagnosis of fatal hypothermia presents a considerable challenge in forensic medicine. Metabolomics, a powerful tool reflecting comprehensive changes in endogenous metabolites, offers significant potential for exploring disease mechanisms and identifying diagnostic markers. Methods: In this study, we employed ultra-high-performance liquid chromatography–mass spectrometry (UHPLC–MS) to perform a non-targeted metabolomic analysis of liver, stomach, spleen, and musculus gastrocnemius tissues from mice subjected to fatal hypothermia. Result: A substantial number of differential metabolites were identified in each tissue: 1601 in the liver, 420 in the stomach, 732 in the spleen, and 668 in the gastrocnemius muscle. The most significantly altered metabolites were as follows: magnoflorine (liver, upregulated, ranked first in fold-change), gibberellic acid (stomach, downregulated, ranked first in fold-change), nitrofurantoin (spleen, upregulated, ranked first in fold-change), and isoreserpin (gastrocnemius muscle, downregulated, ranked first in fold-change). Glycerophospholipid metabolism exhibited notable enrichment in all tissues (spleen: second, liver: tenth, stomach: eleventh, gastrocnemius muscle: twenty-first), as did tryptophan metabolism (spleen: thirteenth, liver: eighth, stomach: third, gastrocnemius muscle: seventeenth). Conclusions: Our findings provide insights into the metabolic perturbations associated with fatal hypothermia in different tissues and lay a foundation for the identification of potential tissue biomarkers for forensic diagnosis.
Q2
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Multi-Omics Approach to Evaluate Effects of Dietary Sodium Butyrate on Antioxidant Capacity, Immune Function and Intestinal Microbiota Composition in Adult Ragdoll Cats
Zhang A., Li D., Yu T., Zhang M., Cui Y., Wang H., Dong T., Wu Y.
Objectives: Sodium butyrate (SB) is a typical postbiotic known to positively affect economic animals in recent years, but research on SB in pet cats is scarce. Consequently, this study sought to explore the influence of SB on anti-inflammatory and antioxidant capacity, immune function, and gut microbiota of adult cats through the assessment of biochemical parameters and comprehensive integrative omics analysis. Methods: A total of 30 adult cats were divided into three groups: a basal diet (NC), basal diet with 0.05% SB (SB5), and basal diet with 0.1% SB (SB10). The experiment lasted for 6 weeks. Results: The results indicated that the fecal level of calprotectin was lower in the SB10 group than in the SB5 and NC groups. The SB10 group reduced the serum levels of TNF-α, IL-1β and DAO compared with the NC group (p < 0.05). In addition, the SB10 diet increased the GSH-Px level and decreased MDA content compared with the NC diet (p < 0.05). Transcriptomic analysis showed that the gene expression of VCAM1 exhibited a notable decrease in the SB10 group compared to the NC group (p < 0.05). The analysis of gut microbiota revealed that the richness of gut microbiota was higher in the SB10 than in the NC group (p < 0.05), and the abundance of Lachnospiraceae, Lachnoclostridium, Blautia, and Roseburia was greater in the SB10 than in the NC group (p < 0.05). Conclusions: Dietary SB could enhance the antioxidant and anti-inflammatory capacity, improve immune function, and positively regulate the gut microbiota composition in adult cats.
Q2
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Differences in the Prevalence and Clinical Correlates Between Early-Onset and Late-Onset Major Depressive Disorder Patients with Comorbid Abnormal Lipid Metabolism
Huang X., Wu A., Zhang X.
Background and Objectives: Growing evidence suggested that abnormal lipid metabolism (ALM) was associated with an increased severity of depressive symptoms, but no previous studies have examined the differences in comorbid ALM in major depressive disorder (MDD) patients of different ages of onset. We aim to compare the differences in the prevalence and clinical correlates of ALM between early-onset and late-onset patients with first-episode and drug-naive (FEDN) MDD patients. Methods: Using a cross-sectional design, we recruited a total of 1718 FEDN MDD outpatients in this study. We used the 17-item Hamilton Rating Scale for Depression (HAMD-17), The Hamilton Anxiety Rating Scale (HAMA), the Positive and Negative Syndrome Scale (PANSS) positive subscale, and Clinical Global Impression-Severity Scale (CGI-S) to assess their depression, anxiety, and psychotic symptoms and clinical severity, respectively. Results: There were 349 patients (20.3%) in the early-onset subgroup and 1369 (79.7%) in the late-onset subgroup. In this study, 65.1% (1188/1718) of patients were diagnosed with ALM. The prevalence of ALM in the late-onset group (81.5%, 1116/1369) was significantly higher than that in the early-onset group (20.6%, 72/349) (p = 0.36, OR = 1.147, 95%CI = 0.855–1.537). The HAMD total score (OR = 1.34, 95% CI = 1.18–1.53, p < 0.001) was the only risk factor for ALM in early-onset MDD patients. In late-onset MDD patients, the HAMD total score (OR = 1.19, 95% CI = 1.11–1.28, p < 0.001), TSH (OR = 1.25, 95% CI = 1.16–1.36, p < 0.001), CGI (OR = 1.7, 95% CI = 1.31–2.19, p < 0.001), and anxiety (OR = 2.22, 95% CI = 1.23–4.02, p = 0.008) were risk factors for ALM. Conclusion and Scientific Significance: Our results suggest that there are significant differences in the prevalence and clinical factors of comorbid ALM between early-onset and late-onset FEND MDD patients.
Q2
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Metabolomic Analysis of Maize Response to Northern Corn Leaf Blight
Gu Y., Yan B., Yang Y., Huang Y., Liu X., Liu S.
Background: As a major food crop, maize is highly susceptible to pathogenic bacteria, which greatly reduces its yield and quality. Metabolomics reveals physiological and biochemical changes in organisms and aids in analyzing metabolic changes caused by various factors. Methods: This study utilized metabolomics to examine maize’s metabolic changes after NCLB infestation, aiming to uncover related pathways and potential biomarkers. The metabolite measurements were performed during the maize silking stage. Results: PCA showed an obvious dispersion between the treated and untreated groups. OPLS-DA identified 1274 differential metabolites, with 242 being downregulated (mainly phenolics and esters) and 1032 upregulated (primarily organic acids, amino acids, sugars, and derivatives). KEGG annotation revealed 50 affected metabolic pathways, and the biosynthesis of secondary metab-olites and amino acids was significantly enriched. Conclusions: We hypothesized that metabolic pathways related to sugar metabolism, proline metabolism, and jasmonic acid synthesis are associated with NCLB susceptibility. These findings provide critical insights into the metabolic responses of maize to biotic stress, offering a theoretical basis for future research on plant resistance mechanisms.
Q2
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Advanced Machine Learning for Comparative Synovial Fluid Analysis in Osteoarthritis and Rheumatoid Arthritis
Kopeć K.K., Uccheddu G., Chodnicki P., Noto A., Piras C., Spada M., Atzori L., Fanos V.
Osteoarthritis (OA) and rheumatoid arthritis (RA) are joint diseases that share similar clinical features but have different etiologies, making a differential diagnosis particularly challenging. Background/Objectives: Utilizing advanced machine learning (ML) techniques on metabolomic data, this study aimed to identify key metabolites in synovial fluid (SF) that could aid in distinguishing between OA and RA. Methods: Metabolite data from the MetaboLights database (MTBLS564), analyzed using nuclear magnetic resonance (NMR), were processed using normalization, a principal component analysis (PCA), and a partial least squares discriminant analysis (PLS-DA) to reveal prominent clustering. Results: Decision forests and random forest classifiers, optimized using genetic algorithms (GAs), highlighted a selection of a few metabolites—primarily glutamine, pyruvate, and proline—with significant discriminative power. A Shapley additive explanations (SHAP) analysis confirmed these metabolites to be pivotal predictors, offering a streamlined approach for clinical diagnostics. Conclusions: Our findings suggest that a minimal set of key metabolites can effectively be relied upon to distinguish between OA and RA, supported by an optimized ML model achieving high accuracy. This workflow could streamline diagnostic efficiency and enhance clinical decision-making in rheumatology.
Q2
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A Multicenter Exploration of Sick Building Syndrome Symptoms in Malaysian Schools: Indoor Pollutants, Microbial Taxa, and Metabolites
Zhang Y., Bu Y., Chen Y., Chen P., Du B., Hashim J.H., Hashim Z., Wieslander G., Norbäck D., Xia Y., Fu X.
Background: The role of the indoor microbiome in sick building syndrome (SBS) is well-recognized, yet prior studies have been limited to single-center analyses, limiting a broader understanding and applicability of their findings. Methods: We conducted a multicenter indoor microbiome and metabolome investigation for SBS, involving 1139 middle school students across three regions in Malaysia (Johor Bahru, Terengganu, and Penang). Using high-throughput amplicon sequencing and untargeted LC-MS, indoor microbiome and metabolites were characterized from classroom dust samples. Results: The study found that the prevalence of SBS symptoms was high across all three centers (51.0% to 54.6%). Environmental characteristics, including indoor NO2 and CO2 concentrations and total weight of indoor dust, were positively associated with SBS (p < 0.01, linear regression). Curtobacterium in Terengganu was negatively associated with SBS, and Clostridium perfringens in Johor Bahru was positively associated with SBS (p < 0.01, FDR < 0.05). Whereas all identified fungal taxa, including an uncharacterized uc_f_Auriculariaceae_sp., Duportella kuehneroides, and Wallemia mellicola, were positively associated with SBS (p < 0.01, FDR < 0.05) in Johor Bahru and Terengganu. Mediation analysis revealed that the adverse health effects of NO2 on SBS were partially mediated by the increased abundance of uc_f_Auriculariaceae_sp. (p < 0.05, total effect mediated 51.40%). Additionally, potential protective metabolites (S-adenosylmethionine, N-acetylserotonin, sphinganine, 4-hydroxy-2-quinolone, and (2E,4Z,8E)-Colneleic acid) were mainly derived from environmental microorganisms, conferring protective effects against nasal symptoms and tiredness. In contrast, synthetic chemicals were associated with higher SBS symptoms, inducing eye and nasal symptoms. Conclusions: This study emphasizes both the significance of fostering a balanced indoor microbiome/metabolite and the necessity to reduce exposure to deleterious substances, providing new insights for future targeted intervention strategies.
Q2
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Toxic Effects of Exposure to Phthalates on Cardiac Injury Biomarkers: Evidence from NHANES 1999–2004
Li H., Bu J., Xing W.
Background: Humans are consistently and increasingly exposed to phthalate products, but the effect of the combined exposure to phthalates on myocardial injury remains largely unexplored. The present study aimed to explore the effect of the combined exposure to phthalates on myocardial injury. Methods: A total of 1237 male adults (aged ≥20) without coronary artery disease (CAD) from the National Health and Nutrition Examination Survey (NHANES) in 1999–2004 were included in the current study. Multiple linear regression, Bayesian kernel machine regression (BKMR), and a weighted quantile sum (WQS) model were employed to examine the associations of urinary phthalate metabolites with two cardiac injury biomarkers, including troponin T (TNT) and troponin I, using four highly sensitive assays (Abbott, Chicago, IL, USA Siemens, Erlangen, Germany; and Ortho, Raritan, NJ, USA) (TNIA, TNIS, TNIO). Results: According to the linear regression analysis, mono-(3-carboxypropyl) phthalate (MCPP, a metabolite of di-n-octyl phthalate) was found to be positively associated with serum TNT; a positive association was found between mono-isobutyl phthalate (MiBP, a metabolite of di-isobutyl phthalate) and TNIA, as well as MiBP and TNIS. Mono-benzyl phthalate (MBzP, a metabolite of butyl benzyl phthalate) and MCPP were positively associated with serum TNIO. The BKMR analyses showed a positive overall relationship of serum TNT, TNIA, TNIS, and TNIO with increased concentrations of phthalate metabolites. The WQS model showed MCPP and MBzP were the top two contributors to being an increased risk for elevated TNT levels. MCPP and mono-ethyl phthalate (MEP, a metabolite of diethyl phthalate) were identified as the leading contributors to increased TNIA and TNIS. MCPP and MBzP were the dominant contributors to elevated TNIO. Conclusions: As a combined mixture, phthalate metabolites were positively associated with serum TNT and TNI among adults without CAD, indicating the potential toxic effect of phthalate exposure on cardiac injury.
Q2
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Bacillusmegaterium DSM 32963 Enhances Specialized Pro-Resolving Mediator Production from an n-3 PUFA Salt in a Dynamic Model of the Human Intestine
Speckmann B., Jordan P.M., Werz O., Hofstetter R.K., Ehring E., Vogel M., Venema K.
Background: Omega-3 polyunsaturated fatty acids (n-3 PUFA) have been used in the treatment of inflammatory bowel diseases (IBD) and irritable bowel syndrome (IBS), and their effects are potentiated upon conversion to specialized pro-resolving mediators (SPM). Recent studies indicated that the probiotic bacterial strain Bacillus megaterium DSM 32963 can be used to enhance the production of SPM and its precursors in vivo. Methods: Here, we explored the contribution of Bacillus megaterium DSM 32963 to SPM production in a validated, dynamic model of the upper and lower intestine. The TIM-1 and TIM-2 models were applied, with the TIM-2 model inoculated with the fecal microbiota of healthy individuals and probed with an n-3 PUFA lysine salt with and without Bacillus megaterium DSM 32963 or an SPM-enriched fish oil or placebo. Kinetics of SPM production were assessed by metabololipidomics analysis, and survival and engraftment of the Bacillus megaterium strain was monitored by plate counting and by strain-specific qPCR. Results: Bacillus megaterium DSM 32963 poorly survived TIM-1 conditions but propagated in the TIM-2 model, where it enabled the metabolism of n-3 PUFA to SPM (resolvin E2 and protectin DX) and SPM precursors (e.g., 5-hydroxyeicosapentaenoic acid (5-HEPE), 15-HEPE, 18-HEPE, 4-hydroxydocosahexaenoic acid (4-HDHA), 10-HDHA, and 17-HDHA, among other EPA- and DHA-derived metabolites) with significantly higher levels of lipid mediator production compared to the n-3 PUFA lysine salt alone; esterified n-3 PUFA were hardly converted by the microbiota. Conclusions: These findings reinforce that Bacillus megaterium DSM 32963 facilitates SPM production in situ from bioavailable n-3 PUFA in the large intestine, highlighting its use to complement eukaryotic SPM biosynthesis by the host and its possible therapeutic use for, e.g., IBD and IBS.
Q2
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Omics Analysis Revealing Flavonoid Content During Maize Grain Germination
Tian X., Chen L., Sun L., Gong K., Liu K., Guo Y.
Background/Objectives: The germination process initiates an active process of secondary metabolism, which produces a series of secondary metabolites, including flavonoids. Methods: A metabolomics and transcriptomics analysis was conducted on maize grains germinated at three different stages. Results: A total of 374 metabolites were detected in maize grains. From the raw maize grain to various stages of germination, 3 anthocyanins, 61 flavones, 12 flavonols, 13 flavanones, and 6 isoflavones were identified, respectively. An integrated omics analysis discovered that a total of 16 flavonoid metabolites were mapped to 4 KEGG pathways, which were associated with 40 related genes. This indicates that germination has significant benefits in improving the nutritional function of corn kernels. Conclusions: In summary, the findings of this study provide valuable insights into flavonoid metabolites and related genes, demonstrating the profound impact of germination treatment on the nutritional and functional aspects of maize grains.
Q2
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Oregano Young Plants Cultured at Low Temperature Reveal an Enhanced Healing Effect of Their Extracts: Anatomical, Physiological and Cytotoxicity Approach
Stefi A.L., Chalkiadaki M., Dimitriou K., Mitsigiorgi K., Gkikas D., Papageorgiou D., Ntroumpogianni G.C., Vassilacopoulou D., Halabalaki M., Christodoulakis N.S.
Background: The germination and early development of Origanum vulgare L. subsp. hirtum (Link) Ietswaart (Greek oregano) were studied to assess the plant’s response to different temperatures. Methods: After germination, seedlings were cultivated in control (25 °C) and cold (15 °C) chambers with standard growth parameters. Comparative analyses of plant morphology and leaf anatomy were conducted to identify structural modifications induced by different temperatures. Physiological evaluations, including photosynthetic pigment measurements, phenolic content, and antioxidant activity, were performed to assess differences between the plants grown under the two temperature conditions. Methanolic extracts from the leaves were tested for cytotoxicity on MCF-7 breast adenocarcinoma cells and SH-SY5Y neuroblastoma cells, as well as on nine microbial strains. Additionally, biomarkers from the leaves affected by temperature changes were determined using LC-HRMS/MS analysis. Results: Comparative analyses revealed distinct structural and physiological modifications under cold conditions. The methanolic extracts from plants grown at 15 °C exhibited notably higher cytotoxic activity in both cell lines but demonstrated no activity against microbial strains. The results highlight the influence of low temperature on enhancing the bioactive properties of Greek oregano. Conclusions: The findings provide valuable insights into the environmental adaptability of oregano, demonstrating the impact of low temperature on its bioactive properties. The therapeutic potential of methanolic extracts cultured at 15 °C is imprinted in cytotoxicity in SH-SY5Y and MCF-7 cells and the absence of any activity against microbial strains.
Q2
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Reference Intervals of Serum Metabolites and Lipids of a Healthy Chinese Population Determined by Liquid Chromatography-Mass Spectrometry
Zhang Y., Zhao J., Zhao H., Lu X., Jia X., Zhao X., Xu G.
Background: Metabolomics serves as a very useful tool for elucidating disease mechanisms and identifying biomarkers. Establishing reference intervals (RIs) of metabolites in a healthy population is crucial to the application of metabolomics in life sciences and clinics. Methods: We enrolled 615 healthy Chinese adults aged between 21 and 85 years. Their health status was ascertained through clinical examinations, biochemical parameters, and medical history. Targeted metabolomics and lipidomics analyses were applied to quantify 705 metabolites and lipids in the serum, establishing RIs and investigating the effect of sex and age on the metabolome and lipidome. Results: This study is the first large-scale effort in China to establish RIs for metabolites in the apparently healthy population. We found that most of the sex-related metabolites, including amino acids, acyl-carnitines and triacylglycerols, had higher concentrations in males, while the other sex-related lipids showed higher concentrations in females. Most of the age-related metabolites increased with age, including those associated with protein synthesis, nitric oxide synthesis, energy metabolism, and lipid metabolism. Conclusions: This study gives the reference intervals of the healthy Chinese metabolome and lipidome and their relationship with sex and age, which facilitates life sciences and precision medicine, especially for disease research and biomarker discovery.
Q2
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A New, Validated GC-PICI-MS Method for the Quantification of 32 Lipid Fatty Acids via Base-Catalyzed Transmethylation and the Isotope-Coded Derivatization of Internal Standards
Vodrážka P., Řimnáčová L., Berková P., Vojtíšek J., Verner M., Moos M., Šimek P.
Background: Fatty acids (FAs) represent a ubiquitous class of nonpolar alkyl carboxylate metabolites with diverse biological functions. Nutrition, metabolism, and endogenous and exogenous stress influence the overall FA metabolic status and transport via the bloodstream. FAs esterified in lipids are of particular interest, as they represent promising biomarkers of pathological diseases and nutritional status. Methods: Here, we report a validated gas chromatographic-mass spectrometric (GC-MS) method for the quantitative analysis of 32 FAs exclusively bound in esterified lipids. The developed sample preparation protocol comprises three steps using only 5 µL of human serum for Folch extraction, sodium methoxide-catalyzed transesterification in tert-butyl methyl ether, and re-extraction in isooctane prior to a quantitative GC-MS analysis with positive ion chemical ionization (PICI) and selected ion monitoring (SIM). Results: The base-catalyzed transmethylation step was studied for 14 lipid classes and was found to be efficient under mild conditions for all major esterified lipids but not for free FAs, lipid amides, or sphingolipids. To minimize matrix effects and instrument bias, internal fatty acid trideuteromethyl esters (D3-FAME) standards were prepared through isotope-coded derivatization with D3-labeled methylchloroformate/methanol medium mixed with each transmethylated serum extract for the assay. The method was validated according to FDA guidelines and evaluated by analyzing NIST SRM 2378 Serum 1 and sera from three healthy donors. Conclusions: The measured quantitative FA values are consistent with the reference data of SRM 2378, and they demonstrate the application potential of the described method for general FA analysis in esterified lipids as a novel complementary tool for lipidomics, as well as for the analysis of membrane FAs in dry blood spots and red blood cells.
Q2
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Salicylic Acid Modulates Volatile Organic Compound Profiles During CEVd Infection in Tomato Plants
Balanzá M., Vázquez-Prol F., Rodrigo I., Bellés J.M., Vera-Sirera F., López-Gresa M.P., Lisón P.
Background:Citrus Exocortis Viroid (CEVd) is a non-coding RNA pathogen capable of infecting a wide range of plant species, despite its lack of protein-coding ability. Viroid infections induce significant alterations in various physiological and biochemical processes, particularly impacting plant metabolism. This study shows the metabolic changes upon viroid infection in tomato plants (Solanum lycopersicum var. ‘MoneyMaker’) exhibiting altered levels of salicylic acid (SA), a key signal molecule involved in the plant defence against this pathogen. Methods: Transgenic RNAi_S5H lines, which have the salicylic acid 5-hydroxylase gene silenced to promote SA accumulation, and NahG lines, which overexpress a salicylate hydroxylase to degrade SA into catechol and prevent its accumulation, were used to establish different SA levels in plants, resulting in varying degrees of resistance to viroid infection. The analysis was performed by using gas chromatography–mass spectrometry (GC-MS) to explore the role of volatile organic compounds (VOCs) in plant immunity against this pathogen. Results: Our results revealed distinct volatile profiles associated with plant immunity, where RNAi_S5H-resistant plants showed significantly enhanced production of monoterpenoids upon viroid infection. Moreover, viroid-susceptible NahG plants emitted a broad range of VOCs, whilst viroid-tolerant RNAi_S5H plants exhibited less variation in VOC emission. Conclusions: This study demonstrates that SA levels significantly influence metabolic responses and immunity in tomato plants infected by CEVd. The identification of differential emitted VOCs upon CEVd infection could allow the development of biomarkers for disease or strategies for disease control.
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|
|
Jurnal Infektologii
3 citations, 0.54%
|
|
Cardiovascular Therapy and Prevention (Russian Federation)
3 citations, 0.54%
|
|
Terapevticheskii Arkhiv
3 citations, 0.54%
|
|
International Journal of Laboratory Hematology
3 citations, 0.54%
|
|
Cancer Medicine
3 citations, 0.54%
|
|
Journal of Evolutionary Biochemistry and Physiology
3 citations, 0.54%
|
|
Российский физиологический журнал им И М Сеченова
3 citations, 0.54%
|
|
CHILDREN INFECTIONS (Detskie Infektsii)
3 citations, 0.54%
|
|
Russian Pediatric Ophthalmology
3 citations, 0.54%
|
|
Radiology - Practice
3 citations, 0.54%
|
|
Acta medica Eurasica
3 citations, 0.54%
|
|
Pirogov Russian Journal of Surgery = Khirurgiya. Zurnal im. N.I. Pirogova
2 citations, 0.36%
|
|
Pediatric Blood and Cancer
2 citations, 0.36%
|
|
Frontiers in Pediatrics
2 citations, 0.36%
|
|
Biochemistry (Moscow)
2 citations, 0.36%
|
|
Biochemistry (Moscow) Supplement Series A: Membrane and Cell Biology
2 citations, 0.36%
|
|
BMC Biology
2 citations, 0.36%
|
|
Vestnik Oftalmologii
2 citations, 0.36%
|
|
Frontiers in Oncology
2 citations, 0.36%
|
|
Profilakticheskaya Meditsina
2 citations, 0.36%
|
|
Rational Pharmacotherapy in Cardiology
2 citations, 0.36%
|
|
Biologicheskie Membrany
2 citations, 0.36%
|
|
Medical Immunology (Russia)
2 citations, 0.36%
|
|
Leukemia Research
2 citations, 0.36%
|
|
Siberian Journal of Oncology
2 citations, 0.36%
|
|
Vestnik Rossiiskoi Akademii Meditsinskikh Nauk
2 citations, 0.36%
|
|
British Journal of Haematology
2 citations, 0.36%
|
|
Modern Rheumatology Journal (Sovremennaya Revmatologiya)
2 citations, 0.36%
|
|
N N Priorov Journal of Traumatology and Orthopedics
2 citations, 0.36%
|
|
I P Pavlov Russian Medical Biological Herald
2 citations, 0.36%
|
|
Regional blood circulation and microcirculation
2 citations, 0.36%
|
|
Malignant tumours
2 citations, 0.36%
|
|
Epidemiology and Infectious Diseases
2 citations, 0.36%
|
|
The Russian Archives of Internal Medicine
2 citations, 0.36%
|
|
Kuban Scientific Medical Bulletin
2 citations, 0.36%
|
|
Journal of Modern Oncology
2 citations, 0.36%
|
|
Russian Journal of Pediatric Surgery Anesthesia and Intensive Care
2 citations, 0.36%
|
|
Allergology and Immunology in Pediatrics
2 citations, 0.36%
|
|
ASTRAKHAN MEDICAL JOURNAL (Astrahanskij medicinskij žurnal)
2 citations, 0.36%
|
|
Anesteziologiya i Reanimatologiya
2 citations, 0.36%
|
|
Medical Technologies. Assessment and Choice
2 citations, 0.36%
|
|
Digital Diagnostics
2 citations, 0.36%
|
|
Creative Surgery and Oncology
2 citations, 0.36%
|
|
Pediatrics. Consilium Medicum
2 citations, 0.36%
|
|
Health and Ecology Issues
2 citations, 0.36%
|
|
Materials Science Forum
1 citation, 0.18%
|
|
European Journal of Nuclear Medicine and Molecular Imaging
1 citation, 0.18%
|
|
Rhizosphere
1 citation, 0.18%
|
|
Molecular Biology
1 citation, 0.18%
|
|
Pharmaceutical Chemistry Journal
1 citation, 0.18%
|
|
Molecules
1 citation, 0.18%
|
|
Advances in Therapy
1 citation, 0.18%
|
|
Journal of Biomolecular Structure and Dynamics
1 citation, 0.18%
|
|
Frontiers in Molecular Biosciences
1 citation, 0.18%
|
|
International Journal of Pharmaceutics
1 citation, 0.18%
|
|
Paediatric Drugs
1 citation, 0.18%
|
|
Nephrology and Dialysis
1 citation, 0.18%
|
|
Clinical Genetics
1 citation, 0.18%
|
|
Indian Pediatrics
1 citation, 0.18%
|
|
Pharmaceutics
1 citation, 0.18%
|
|
Gigiena i sanitariia
1 citation, 0.18%
|
|
Farmatsiya i Farmakologiya
1 citation, 0.18%
|
|
Clinica Chimica Acta
1 citation, 0.18%
|
|
Genes and Cells
1 citation, 0.18%
|
|
Microorganisms
1 citation, 0.18%
|
|
Kardiologiya i Serdechno-Sosudistaya Khirurgiya
1 citation, 0.18%
|
|
Neonatology
1 citation, 0.18%
|
|
Ekologiya Cheloveka (Human Ecology)
1 citation, 0.18%
|
|
Informatics in Medicine Unlocked
1 citation, 0.18%
|
|
Blood advances
1 citation, 0.18%
|
|
Pathology and Oncology Research
1 citation, 0.18%
|
|
International Journal of Food Science and Technology
1 citation, 0.18%
|
|
Burdenko's Journal of Neurosurgery / Zhurnal Voprosy Neirokhirurgii Imeni N.N. Burdenko
1 citation, 0.18%
|
|
Molecular Informatics
1 citation, 0.18%
|
|
E3S Web of Conferences
1 citation, 0.18%
|
|
Pediatric Traumatology, Orthopaedics and Reconstructive Surgery
1 citation, 0.18%
|
|
Critical Reviews in Oncology/Hematology
1 citation, 0.18%
|
|
American Journal of Gastroenterology
1 citation, 0.18%
|
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Show all (70 more) | |
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|
Citing publishers
20
40
60
80
100
120
140
160
180
200
|
|
Fund Doctors, Innovations, Science for Children
184 citations, 33.15%
|
|
OOO Grafika
33 citations, 5.95%
|
|
Springer Nature
29 citations, 5.23%
|
|
Media Sphere Publishing House
23 citations, 4.14%
|
|
Paediatrician Publishers LLC
21 citations, 3.78%
|
|
MDPI
20 citations, 3.6%
|
|
Publishing House ABV Press
19 citations, 3.42%
|
|
Eco-Vector LLC
18 citations, 3.24%
|
|
Wiley
17 citations, 3.06%
|
|
Elsevier
12 citations, 2.16%
|
|
National Medical Research Center of Hematology of the Ministry of Health of the Russian Federation
12 citations, 2.16%
|
|
Pleiades Publishing
10 citations, 1.8%
|
|
Remedium, Ltd.
10 citations, 1.8%
|
|
Consilium Medicum
7 citations, 1.26%
|
|
Alfmed LLC
6 citations, 1.08%
|
|
Frontiers Media S.A.
5 citations, 0.9%
|
|
Baltic Medical Education Center
4 citations, 0.72%
|
|
National Academy of Pediatric Science and Innovation
4 citations, 0.72%
|
|
Silicea - Poligraf, LLC
4 citations, 0.72%
|
|
Practical Medicine Publishing House
4 citations, 0.72%
|
|
Moscow Regional Research and Clinical Institute (MONIKI)
4 citations, 0.72%
|
|
SAGE
3 citations, 0.54%
|
|
SPRIDA
3 citations, 0.54%
|
|
BMJ
3 citations, 0.54%
|
|
Akademizdatcenter Nauka
3 citations, 0.54%
|
|
IMA Press, LLC
3 citations, 0.54%
|
|
FSBEI HE I.P. Pavlov SPbSMU MOH Russia
3 citations, 0.54%
|
|
Journal of Childrens Infections
3 citations, 0.54%
|
|
Central Research Institute of Radiation Diagnostics
3 citations, 0.54%
|
|
I.N. Ulianov Chuvash State University
3 citations, 0.54%
|
|
Taylor & Francis
2 citations, 0.36%
|
|
EDP Sciences
2 citations, 0.36%
|
|
SPb RAACI
2 citations, 0.36%
|
|
Tomsk Cancer Research Institute
2 citations, 0.36%
|
|
The Russian Academy of Sciences
2 citations, 0.36%
|
|
Russian Society of Clinical Oncology
2 citations, 0.36%
|
|
IRBIS
2 citations, 0.36%
|
|
Synapse, LLC
2 citations, 0.36%
|
|
Kuban State Medical University
2 citations, 0.36%
|
|
National Medical Research Center for Childrens Health
2 citations, 0.36%
|
|
RIOR Publishing Center
2 citations, 0.36%
|
|
Association of Pediatric Allergologists and Immunologists of Russia
2 citations, 0.36%
|
|
Rostov State Medical University
2 citations, 0.36%
|
|
Bashkir State Medical University
2 citations, 0.36%
|
|
Gomel State Medical University
2 citations, 0.36%
|
|
Research Square Platform LLC
2 citations, 0.36%
|
|
Oxford University Press
1 citation, 0.18%
|
|
Rockefeller University Press
1 citation, 0.18%
|
|
American Society of Clinical Oncology (ASCO)
1 citation, 0.18%
|
|
Trans Tech Publications
1 citation, 0.18%
|
|
American Academy of Pediatrics
1 citation, 0.18%
|
|
PJSC Human Stem Cells Institute
1 citation, 0.18%
|
|
American Society of Hematology
1 citation, 0.18%
|
|
North-Eastern Federal University
1 citation, 0.18%
|
|
Scientific and Practical Reviewed Journal Pulmonology
1 citation, 0.18%
|
|
Kemerovo State University
1 citation, 0.18%
|
|
Hindawi Limited
1 citation, 0.18%
|
|
TEST-ZL Publishing
1 citation, 0.18%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
1 citation, 0.18%
|
|
S. Karger AG
1 citation, 0.18%
|
|
Center of Pharmaceutical Analytics Ltd
1 citation, 0.18%
|
|
Interregional Association for Clinical Microbiology and Antimicrobial Chemotherapy
1 citation, 0.18%
|
|
Sechenov University
1 citation, 0.18%
|
|
The Korean Society for Vascular Surgery
1 citation, 0.18%
|
|
Volgograd State Medical University
1 citation, 0.18%
|
|
FSPSI SCFHHRP
1 citation, 0.18%
|
|
LLC Numicom
1 citation, 0.18%
|
|
Russian Association of Coloproctology
1 citation, 0.18%
|
|
PANORAMA Publishing House
1 citation, 0.18%
|
|
SCEEMP
1 citation, 0.18%
|
|
IntechOpen
1 citation, 0.18%
|
|
LLC "Medical Knowledge and Technologies"
1 citation, 0.18%
|
|
Federal Scientific Center for Hygiene F.F.Erisman
1 citation, 0.18%
|
|
APO Society of Specialists in Heart Failure
1 citation, 0.18%
|
|
LLC Global Media Technology
1 citation, 0.18%
|
|
EKOlab
1 citation, 0.18%
|
|
Union of the Medical Community National Medical Chamber
1 citation, 0.18%
|
|
Periodontal Association - RPA
1 citation, 0.18%
|
|
Scientific Research Institute - Ochapovsky Regional Clinical Hospital No 1
1 citation, 0.18%
|
|
Mediar Press
1 citation, 0.18%
|
|
Non-profit organization Nephrology
1 citation, 0.18%
|
|
Agrarian Science
1 citation, 0.18%
|
|
Russian Dialysis Society
1 citation, 0.18%
|
|
Federal Medical Biological Agency
1 citation, 0.18%
|
|
Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii
1 citation, 0.18%
|
|
Silicea - Poligraf
1 citation, 0.18%
|
|
Show all (56 more) | |
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180
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|
Publishing organizations
50
100
150
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250
300
350
|
|
Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology
335 publications, 56.11%
|
|
Pirogov Russian National Research Medical University
64 publications, 10.72%
|
|
Center for Theoretical Problems of Physicochemical Pharmacology of the Russian Academy of Sciences
37 publications, 6.2%
|
|
Lomonosov Moscow State University
26 publications, 4.36%
|
|
First Pavlov State Medical University of St. Petersburg
24 publications, 4.02%
|
|
N.N. Blokhin National Medical Research Center of Oncology
23 publications, 3.85%
|
|
Sechenov First Moscow State Medical University
18 publications, 3.02%
|
|
National Medical Research Center Obsterics, Gynecology and Perinatology the name of Academician V.I. Kulakov
11 publications, 1.84%
|
|
Menoufia University
11 publications, 1.84%
|
|
Moscow Institute of Physics and Technology
10 publications, 1.68%
|
|
National Medical Research Center of Neurosurgery named after N.N. Burdenko
8 publications, 1.34%
|
|
Almazov National Medical Research Centre
7 publications, 1.17%
|
|
Peoples' Friendship University of Russia
6 publications, 1.01%
|
|
Saint Petersburg State Pediatric Medical University
6 publications, 1.01%
|
|
Russian Medical Academy of Continuous Professional Education
6 publications, 1.01%
|
|
National Medical Scientific Center of Children's Health
6 publications, 1.01%
|
|
National Research Center Institute of Immunology of the Federal Medical Biological Agency of Russia
5 publications, 0.84%
|
|
Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences
4 publications, 0.67%
|
|
Moscow Regional Research and Clinical Institute
4 publications, 0.67%
|
|
National Medical Research Center for Hematology
3 publications, 0.5%
|
|
FSBI «Petrov Research Institute of Oncology» of the Ministry of Healthcare of the Russian Federation
3 publications, 0.5%
|
|
North-Western State Medical University named after I.I. Mechnikov
3 publications, 0.5%
|
|
N. N. Alexandrov National Cancer Centre
3 publications, 0.5%
|
|
Ahvaz Jundishapur University of Medical Sciences
3 publications, 0.5%
|
|
École de Technologie Supérieure
3 publications, 0.5%
|
|
![]() Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences
2 publications, 0.34%
|
|
Saint Petersburg State University
2 publications, 0.34%
|
|
Petrovsky National Research Centre of Surgery
2 publications, 0.34%
|
|
Voronezh State University
2 publications, 0.34%
|
|
Russian University of Medicine
2 publications, 0.34%
|
|
Privolzhsky Research Medical University
2 publications, 0.34%
|
|
Bashkir State Medical University
2 publications, 0.34%
|
|
Ural State Medical University
2 publications, 0.34%
|
|
Belarusian State Medical University
2 publications, 0.34%
|
|
Research Centre for Medical Genetics
2 publications, 0.34%
|
|
Federal State Budget Institution «A.N. Bakulev National Medical Research Center of Cardiovascular Surgery»
2 publications, 0.34%
|
|
Ryazan State Medical University named after Academician I.P. Pavlov
2 publications, 0.34%
|
|
Belarusian Medical Academy of Post-Graduate Education
2 publications, 0.34%
|
|
Kirov Research Institute of Hematology and Blood Transfusion of Federal Medical and Biologic Agency
2 publications, 0.34%
|
|
Mansoura University
2 publications, 0.34%
|
|
Engelhardt Institute of Molecular Biology of the Russian Academy of Sciences
1 publication, 0.17%
|
|
Far Eastern Federal University
1 publication, 0.17%
|
|
Volgograd State Medical University
1 publication, 0.17%
|
|
MIREA — Russian Technological University
1 publication, 0.17%
|
|
Siberian State Medical University
1 publication, 0.17%
|
|
Chuvash State University
1 publication, 0.17%
|
|
Saratov State Medical University named after V. I. Razumovsky
1 publication, 0.17%
|
|
Institute of Microbiology of the National Academy of Sciences of Belarus
1 publication, 0.17%
|
|
Belarusian State University
1 publication, 0.17%
|
|
Tyumen State Medical University
1 publication, 0.17%
|
|
Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency
1 publication, 0.17%
|
|
Saint-Petersburg Research Institute of Phthisiopulmonology
1 publication, 0.17%
|
|
Altai State Medical University
1 publication, 0.17%
|
|
N. P. Bechtereva Institute of the Human Brain of Russian Academy of Sciences
1 publication, 0.17%
|
|
Russian Presidential Academy of National Economy and Public Administration
1 publication, 0.17%
|
|
Yaroslavl State Medical University
1 publication, 0.17%
|
|
Smolensk State Medical University
1 publication, 0.17%
|
|
Astana Medical University
1 publication, 0.17%
|
|
Central Research Institute of Epidemiology of Rospotrebnadzor
1 publication, 0.17%
|
|
Izhevsk State Medical Academy
1 publication, 0.17%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
1 publication, 0.17%
|
|
Shahid Chamran University of Ahvaz
1 publication, 0.17%
|
|
University of Basrah
1 publication, 0.17%
|
|
Hadassah Medical Center
1 publication, 0.17%
|
|
Manipal Academy of Higher Education
1 publication, 0.17%
|
|
Cairo University
1 publication, 0.17%
|
|
German Cancer Research Center
1 publication, 0.17%
|
|
Charité - Universitätsmedizin Berlin
1 publication, 0.17%
|
|
Children's National Hospital
1 publication, 0.17%
|
|
Benha University
1 publication, 0.17%
|
|
Children's Hospital Mansoura University
1 publication, 0.17%
|
|
Sohag University
1 publication, 0.17%
|
|
Show all (42 more) | |
50
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250
300
350
|
Publishing organizations in 5 years
50
100
150
200
250
300
|
|
Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology
275 publications, 71.99%
|
|
Pirogov Russian National Research Medical University
47 publications, 12.3%
|
|
Center for Theoretical Problems of Physicochemical Pharmacology of the Russian Academy of Sciences
31 publications, 8.12%
|
|
First Pavlov State Medical University of St. Petersburg
22 publications, 5.76%
|
|
Lomonosov Moscow State University
20 publications, 5.24%
|
|
N.N. Blokhin National Medical Research Center of Oncology
19 publications, 4.97%
|
|
Sechenov First Moscow State Medical University
17 publications, 4.45%
|
|
Menoufia University
11 publications, 2.88%
|
|
National Medical Research Center Obsterics, Gynecology and Perinatology the name of Academician V.I. Kulakov
7 publications, 1.83%
|
|
Moscow Institute of Physics and Technology
6 publications, 1.57%
|
|
National Medical Scientific Center of Children's Health
6 publications, 1.57%
|
|
Almazov National Medical Research Centre
5 publications, 1.31%
|
|
Russian Medical Academy of Continuous Professional Education
5 publications, 1.31%
|
|
Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences
4 publications, 1.05%
|
|
Peoples' Friendship University of Russia
4 publications, 1.05%
|
|
Saint Petersburg State Pediatric Medical University
4 publications, 1.05%
|
|
Moscow Regional Research and Clinical Institute
4 publications, 1.05%
|
|
National Medical Research Center of Neurosurgery named after N.N. Burdenko
4 publications, 1.05%
|
|
National Research Center Institute of Immunology of the Federal Medical Biological Agency of Russia
4 publications, 1.05%
|
|
FSBI «Petrov Research Institute of Oncology» of the Ministry of Healthcare of the Russian Federation
3 publications, 0.79%
|
|
N. N. Alexandrov National Cancer Centre
3 publications, 0.79%
|
|
Ahvaz Jundishapur University of Medical Sciences
3 publications, 0.79%
|
|
École de Technologie Supérieure
3 publications, 0.79%
|
|
![]() Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences
2 publications, 0.52%
|
|
Saint Petersburg State University
2 publications, 0.52%
|
|
Petrovsky National Research Centre of Surgery
2 publications, 0.52%
|
|
Russian University of Medicine
2 publications, 0.52%
|
|
Privolzhsky Research Medical University
2 publications, 0.52%
|
|
Bashkir State Medical University
2 publications, 0.52%
|
|
Belarusian State Medical University
2 publications, 0.52%
|
|
National Medical Research Center for Hematology
2 publications, 0.52%
|
|
Ryazan State Medical University named after Academician I.P. Pavlov
2 publications, 0.52%
|
|
Belarusian Medical Academy of Post-Graduate Education
2 publications, 0.52%
|
|
Kirov Research Institute of Hematology and Blood Transfusion of Federal Medical and Biologic Agency
2 publications, 0.52%
|
|
Mansoura University
2 publications, 0.52%
|
|
Engelhardt Institute of Molecular Biology of the Russian Academy of Sciences
1 publication, 0.26%
|
|
Far Eastern Federal University
1 publication, 0.26%
|
|
Volgograd State Medical University
1 publication, 0.26%
|
|
Voronezh State University
1 publication, 0.26%
|
|
Siberian State Medical University
1 publication, 0.26%
|
|
Chuvash State University
1 publication, 0.26%
|
|
Saratov State Medical University named after V. I. Razumovsky
1 publication, 0.26%
|
|
Ural State Medical University
1 publication, 0.26%
|
|
Institute of Microbiology of the National Academy of Sciences of Belarus
1 publication, 0.26%
|
|
Belarusian State University
1 publication, 0.26%
|
|
Tyumen State Medical University
1 publication, 0.26%
|
|
Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency
1 publication, 0.26%
|
|
Research Centre for Medical Genetics
1 publication, 0.26%
|
|
Federal State Budget Institution «A.N. Bakulev National Medical Research Center of Cardiovascular Surgery»
1 publication, 0.26%
|
|
Saint-Petersburg Research Institute of Phthisiopulmonology
1 publication, 0.26%
|
|
Altai State Medical University
1 publication, 0.26%
|
|
N. P. Bechtereva Institute of the Human Brain of Russian Academy of Sciences
1 publication, 0.26%
|
|
Russian Presidential Academy of National Economy and Public Administration
1 publication, 0.26%
|
|
North-Western State Medical University named after I.I. Mechnikov
1 publication, 0.26%
|
|
Yaroslavl State Medical University
1 publication, 0.26%
|
|
Astana Medical University
1 publication, 0.26%
|
|
Central Research Institute of Epidemiology of Rospotrebnadzor
1 publication, 0.26%
|
|
Izhevsk State Medical Academy
1 publication, 0.26%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
1 publication, 0.26%
|
|
Shahid Chamran University of Ahvaz
1 publication, 0.26%
|
|
University of Basrah
1 publication, 0.26%
|
|
Hadassah Medical Center
1 publication, 0.26%
|
|
Manipal Academy of Higher Education
1 publication, 0.26%
|
|
Cairo University
1 publication, 0.26%
|
|
German Cancer Research Center
1 publication, 0.26%
|
|
Charité - Universitätsmedizin Berlin
1 publication, 0.26%
|
|
Benha University
1 publication, 0.26%
|
|
Children's Hospital Mansoura University
1 publication, 0.26%
|
|
Sohag University
1 publication, 0.26%
|
|
Show all (39 more) | |
50
100
150
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250
300
|
Publishing countries
50
100
150
200
250
300
350
400
450
|
|
Russia
|
Russia, 411, 68.84%
Russia
411 publications, 68.84%
|
Saudi Arabia
|
Saudi Arabia, 11, 1.84%
Saudi Arabia
11 publications, 1.84%
|
Belarus
|
Belarus, 9, 1.51%
Belarus
9 publications, 1.51%
|
Iran
|
Iran, 5, 0.84%
Iran
5 publications, 0.84%
|
USA
|
USA, 3, 0.5%
USA
3 publications, 0.5%
|
Egypt
|
Egypt, 3, 0.5%
Egypt
3 publications, 0.5%
|
Germany
|
Germany, 2, 0.34%
Germany
2 publications, 0.34%
|
Iraq
|
Iraq, 2, 0.34%
Iraq
2 publications, 0.34%
|
Kazakhstan
|
Kazakhstan, 1, 0.17%
Kazakhstan
1 publication, 0.17%
|
Israel
|
Israel, 1, 0.17%
Israel
1 publication, 0.17%
|
India
|
India, 1, 0.17%
India
1 publication, 0.17%
|
50
100
150
200
250
300
350
400
450
|
Publishing countries in 5 years
50
100
150
200
250
300
350
|
|
Russia
|
Russia, 337, 88.22%
Russia
337 publications, 88.22%
|
Saudi Arabia
|
Saudi Arabia, 11, 2.88%
Saudi Arabia
11 publications, 2.88%
|
Belarus
|
Belarus, 8, 2.09%
Belarus
8 publications, 2.09%
|
Iran
|
Iran, 5, 1.31%
Iran
5 publications, 1.31%
|
Egypt
|
Egypt, 3, 0.79%
Egypt
3 publications, 0.79%
|
Germany
|
Germany, 2, 0.52%
Germany
2 publications, 0.52%
|
USA
|
USA, 2, 0.52%
USA
2 publications, 0.52%
|
Iraq
|
Iraq, 2, 0.52%
Iraq
2 publications, 0.52%
|
Kazakhstan
|
Kazakhstan, 1, 0.26%
Kazakhstan
1 publication, 0.26%
|
Israel
|
Israel, 1, 0.26%
Israel
1 publication, 0.26%
|
India
|
India, 1, 0.26%
India
1 publication, 0.26%
|
50
100
150
200
250
300
350
|
8 profile journal articles
Senchenko Maria
14 publications,
7 citations
h-index: 1
6 profile journal articles
Sidorov Ilya
13 publications,
9 citations
h-index: 2
3 profile journal articles
Kireev Igor
DSc in Biological/biomedical sciences
![Lomonosov Moscow State University](/storage/images/resized/5i4jfz1ZRKSKbVsRyLakCM5odPoTNafBGh8Cwxzf_small_thumb.webp)
Lomonosov Moscow State University
106 publications,
1 833 citations
h-index: 21
Research interests
Cytology
Genetics
Molecular biology
3 profile journal articles
Koleva Larisa
![Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology](/storage/images/resized/oya3ir8M3Unz8Puz0SnptLws6tMMvySa6kHYn3MV_small_thumb.webp)
Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology
7 publications,
91 citations
h-index: 2
3 profile journal articles
Obydennyi Sergei
![Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology](/storage/images/resized/oya3ir8M3Unz8Puz0SnptLws6tMMvySa6kHYn3MV_small_thumb.webp)
Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology
28 publications,
522 citations
h-index: 10
3 profile journal articles
Filippova Anna
6 publications,
15 citations
h-index: 2
3 profile journal articles
Shakhidzhanov Soslan
![Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology](/storage/images/resized/oya3ir8M3Unz8Puz0SnptLws6tMMvySa6kHYn3MV_small_thumb.webp)
Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology
13 publications,
104 citations
h-index: 4
2 profile journal articles
Tarakanova Alexandra
6 publications,
2 citations
h-index: 1
1 profile journal article
Abakumov Maxim
PhD in Chemistry, Associate Professor
![National University of Science & Technology (MISiS)](/storage/images/resized/dRvP3lMJcjXP3GTJzfOCMGs4rAy4Aq1F3yWpmEzN_small_thumb.webp)
National University of Science & Technology (MISiS)
![Pirogov Russian National Research Medical University](/storage/images/resized/hYMN4oPBXA1cpRUSkt1eTzFIh01fHu2uLFiDyIka_small_thumb.webp)
Pirogov Russian National Research Medical University
153 publications,
2 222 citations
h-index: 25
1 profile journal article
Marakhonov Andrey
![Research Centre for Medical Genetics](/storage/images/resized/rVh6tGBHGPvVYo6sLfvPGlI2mwIizM3VqpQRvhwa_small_thumb.webp)
Research Centre for Medical Genetics
111 publications,
573 citations
h-index: 13
1 profile journal article
Mollaev Murad
![Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology](/storage/images/resized/oya3ir8M3Unz8Puz0SnptLws6tMMvySa6kHYn3MV_small_thumb.webp)
Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology
21 publications,
161 citations
h-index: 7
1 profile journal article
Protasov Eugeniy
6 publications,
32 citations
h-index: 3