Open Access
Mycobiology
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SCImago
Q2
WOS
Q4
Impact factor
1.6
SJR
0.514
CiteScore
3.9
Categories
Plant Science
Infectious Diseases
Microbiology
Areas
Agricultural and Biological Sciences
Immunology and Microbiology
Medicine
Years of issue
2011-2025
journal names
Mycobiology
Top-3 citing journals
Mycobiology
(660 citations)

Journal of Fungi
(433 citations)

Frontiers in Microbiology
(307 citations)
Top-3 organizations

Rural Development Administration
(120 publications)

Korea University
(83 publications)

Kangwon National University
(79 publications)

National Institute of Biological Resources
(33 publications)

Kyungpook National University
(29 publications)

Korea University
(26 publications)
Top-3 countries
Most cited in 5 years
Found
Publications found: 741
Q2

Effective Second-Line b/tsDMARDs for Patients with Rheumatoid Arthritis Unresponsive to First-Line b/tsDMARDs from the FIRST Registry
Kanda R., Miyazaki Y., Nakayamada S., Fukuyo S., Kubo S., Miyagawa I., Yamaguchi A., Satoh-Kanda Y., Ohkubo N., Todoroki Y., Tanaka H., Ueno M., Nagayasu A., Fujita Y., Aritomi T., et. al.
Q2

The Cardiovascular Safety of Tumour Necrosis Factor Inhibitors in Arthritic Conditions: A Structured Review with Recommendations
Avouac J., Ait-Oufella H., Habauzit C., Benkhalifa S., Combe B.
Q2

Clinical Validation and Outcome Measures From Bend Ease: A Novel, Sensor-Based Digital Measurement Tool for Assessing At-Home Morning Stiffness and Spinal Range of Motion in Axial Spondyloarthritis
Crowley A., Siegel L., Grainger R., Webster D.E., He T., Yang L., Moon E., Shiller D., Crouthamel M., Jones H., Mease P.J., Curtis J.R.
Q2

Real-World Osteoporosis Treatment Gap and Costs in Spain: Data from Women with a First Fragility Fracture or Diagnosis of Postmenopausal Osteoporosis
Sicras-Mainar A., Sorio-Vilela F., Sacrest-Soy M., Gatell S., Sicras-Navarro A., Villoro-Valdés R., Rebollo-Gómez E., Hernández I.
Postmenopausal osteoporosis (PMO) increases the risk of fragility fractures (FF), leading to disability, higher mortality, and elevated healthcare costs. Despite available treatments, osteoporosis (OP) remains undertreated, especially in women over 50 years at high risk for FF. Real-world data on OP care in Spain are limited. This study aims to assess the OP treatment gap, healthcare resource utilisation (HCRU), and costs among Spanish women following a first FF or PMO diagnosis. This retrospective study used data from the BIG-PAC® administrative database on women aged ≥ 50 years with a first FF (cohort 1) or newly diagnosed PMO (cohort 2) between 2014 and 2018. Patients were followed for 2 years after the index event. The primary outcome was the proportion of women not prescribed OP medication within 6 months after the index event (treatment gap). Secondary outcomes included fracture incidence, mortality, HCRU, and costs. The study included 22,142 women: 3190 in cohort 1 and 18,952 in cohort 2. The OP treatment gap was higher in cohort 1 vs cohort 2 (41.5% vs 23.6%). In cohort 1, 59.2% were diagnosed with PMO after the first FF, with 88% experiencing subsequent fracture(s). OP treatment persistence decreased over time in both cohorts. Fracture rates were lower in women prescribed OP treatment vs those who were not (8.35 vs 13.8 per 1000 patient-years) and in those who showed 24-month-persistence and 12-month adherence to treatment vs those who did not (8.98 and 7.66 vs 10.79 and 10.76). The 2-year mean cost per patient was higher in cohort 1 (€10,601) than in cohort 2 (€1659), with the highest costs incurred for hip (€15,833) and vertebral (€10,593) fractures. This study highlights a significant treatment gap in Spanish women aged ≥ 50 with a first FF or newly diagnosed PMO. Costs are particularly high for those with a first FF, especially for hip or vertebral fractures. Improving treatment adherence could reduce fracture risk, healthcare costs, and resource utilisation.
Q2

Factors Influencing Treatment Satisfaction and Recognition Gaps Between Physicians and Patients with Systemic Sclerosis
Shima Y., Uchida-Yamada M., Motegi S., Shimada T., Ishii H., Ohya Y., Kanai Y.
It is important to understand the differences in patient–physician perceptions and factors affecting satisfaction with treatment in patients with systemic sclerosis (SSc). This web-based survey (conducted in Japan in March 2023) targeted patients aged ≥ 18 years with SSc and physicians in hospitals with ≥ 20 beds and seeing ≥ 3 patients with SSc monthly. Physicians and patients answered similar questions. Responders were 301 patients (63.8% female; 47.5% limited cutaneous SSc; 44.9% diffuse cutaneous SSc) and 129 physicians (51.2% rheumatologists; 20.9% dermatologists). The most common problematic symptoms reported by patients having each symptom were Raynaud’s phenomenon (RP) (59.5%), skin tightening (47.4%), and malaise (45.5%). Physicians also perceived RP as the common problematic symptoms (46.5%). Conversely, there was a large gap in the perception of malaise as problematic (5.4%). There was a ≥ 20% difference in the percentage of respondents who felt that treatments improved symptoms of reflux esophagitis (48.8% in patients vs. 76.7% in physicians), dysphagia (25.0% vs. 52.7%), constipation (35.1% vs. 62.8%), diarrhea (36.1% vs. 62.8%), and pain (47.6% vs. 69.0%). Patient characteristics associated with high satisfaction with treatment included treatment responsiveness, age ≥ 50 years, being anti-topoisomerase I antibody positive, having dermatological or digestive symptoms as problematic symptoms, and not feeling they should have seen their physician earlier. Patients and physicians had different perceptions of symptoms and treatment response. Patients’ perception of improvement affected their satisfaction with treatment. Reviewing treatment goals and content between patients and physicians is necessary to improve treatment satisfaction. UMIN000050368.
Q2

Effect of Ozoralizumab Administration with or without Methotrexate in Patients with Rheumatoid Arthritis: A Post-Hoc Analysis
Tanaka Y., Horiuchi N., Sasajima C., Matsumoto R., Kawanishi M., Uchida S., Takeuchi T.
Ozoralizumab (OZR) is a novel tumor necrosis factor (TNF) inhibitor that was launched in Japan for treating patients with rheumatoid arthritis (RA) who have had an inadequate response to existing therapies. This post-hoc analysis aimed to compare the efficacy of OZR administered without methotrexate (MTX) with placebo or OZR administration in combination with MTX. We analyzed the OZR group (30 mg) in the NATSUZORA trial (non-MTX, open trial) (OZR group; n = 94) and the placebo group (MTX group; n = 75) and the 30-mg OZR group (OZR + MTX group; n = 152) in the OHZORA trial (combined MTX, double-blind trial), and the covariates were adjusted by propensity score matching. Subsequently, the American College of Rheumatology (ACR) 20/50/70 response rates from baseline to 24 or 52 weeks were compared. Furthermore, to compare longitudinal data on disease activity indicators, a mixed-effects model for repeated-measures analyses was used. Comparing the OZR and MTX groups, 52 patients were matched in each group. The OZR group showed improvements in the ACR20 (OZR group, 67.3% vs. MTX group, 34.6%, p = 0.001), ACR50 (51.9% vs. 17.3%, p < 0.001), and ACR70 (26.9% vs. 11.5%, p = 0.047) response rates compared to those in the MTX group. Comparing the OZR and OZR + MTX groups, 77 patients were matched in each group. No significant difference was observed in the ACR20 response rate (OZR group, 58.4% vs. OZR + MTX group, 70.1%, p = 0.130). However, the OZR + MTX group showed higher ACR50 (44.2% vs. 62.3%, p = 0.024) and ACR70 (29.9% vs. 45.5%, p = 0.046) response rates. OZR administration without MTX was associated with an improvement in the signs and symptoms of RA compared to placebo administration (continuation of MTX monotherapy). OZR and MTX administration showed better efficacy than OZR administration alone.
Q2

Real-World-Evidence of Digital Health Applications (DiGAs) in Rheumatology: Insights from the DiGAReal Registry
Albrecht A., Taubmann J., Minopoulou I., Hatscher L., Kleinert S., Mühlensiepen F., Welcker M., Leipe J., Schulz N., Klemm P., Hueber A., Schett G., Kuhn S., Labinsky H., Knitza J.
Prescribable digital health applications (DiGAs) present scalable solutions to improve patient self-management in rheumatology, however real-world evidence is scarce. Therefore, we aimed to assess the effectiveness, usage, and usability of DiGAs prescribed by rheumatologists, as well as patient satisfaction. The DiGAReal registry includes adult patients with rheumatic conditions who received a DiGA prescription. Data at baseline (T0) and the 3-month follow-up (T1) were collected through electronic questionnaires. Study outcomes included DiGA-specific outcome assessments as well as generic outcome assessments, including the Patient Global Impression of Change (PGIC), Patient Activation Measure (PAM®), and the German Telehealth Usability and Utility Short Questionnaire (TUUSQ). Changes between T0 and T1 were analyzed using descriptive statistics and paired tests. A total of 191 patients were included between June 2022 and April 2023. Of these, 127 completed the 3-month follow-up, and 114 reported using the prescribed DiGA, with 66% reporting weekly use and 15% completing the full DiGA program. The most commonly prescribed DiGAs targeted pain management (53%). Symptom improvement was reported by 51% of patients using a DiGA, with significant reductions in exhaustion levels (p = 0.03). Significant DiGA-specific improvements were observed for DiGAs addressing back pain (p = 0.05) and insomnia (p = 0.006). However, no overall significant changes were detected in patient activation, health literacy, pain, overall health, or disease activity. Back pain and weight management DiGAs were the most effective, frequently used, and best-rated DiGAs, with symptom improvements reported by 50% to 82% of patients. The findings suggest that DiGAs can improve symptom management in rheumatic patients, especially for conditions like back pain and weight control. Further real-world evidence is needed and may support value-based digital health efforts and reimbursement frameworks.
Q2

Prevalence and Significance of the Presence of Anti-transglutaminase and Anti-endomysium Antibodies in Patients with Early Inflammatory Joint Disease
Bettacchioli E., Cornec D., Gardien P., Quenehervé L., Guellec D., Tison A., Constantin A., Lequerre T., Bideau C., André A.L., Capaldo C., Devauchelle-Pensec V., Dueymes M., Saraux A.
Celiac disease (CD) affects the small intestine, leading to a progressive disappearance of intestinal villi, and can be found in association with several other autoimmune and inflammatory conditions. The main objective of this study was to determine the prevalence and the clinical significance of anti-transglutaminase and anti-endomysium antibodies in patients diagnosed with early rheumatoid arthritis (RA) and spondyloarthritis (SpA). We measured anti-transglutaminase and anti-endomysium antibodies in biobanked serum samples at inclusion in two French prospective multicenter cohorts of patients with suspected early rheumatoid arthritis (ESPOIR, n = 713) and spondyloarthritis (DESIR, n = 709). Results were compared with the clinical, laboratory, and radiographic findings obtained in patients during a 10-year follow-up period. In the DESIR cohort, anti-transglutaminase antibodies were evidenced at low levels (less than three times the upper limit of normal) in 2/709 (0.42%) patients and anti-endomysium antibodies in 0/709 (0%). In the ESPOIR cohort, anti-transglutaminase antibodies were evidenced in 6/713 (0.84%) patients and anti-endomysium antibodies in 1/713 (0.14%). Only the latter patient was confirmed to have celiac disease. Interestingly, this patient was ultimately diagnosed with Sjögren’s disease, an autoimmune condition known to be associated with an increased risk of celiac disease. The very low identified prevalence of anti-transglutaminase and anti-endomysium antibodies suggests a negligible risk of celiac disease in patients with early-stage RA or SpA, which are among the most common inflammatory rheumatic conditions. Consequently, routine screening for celiac disease via these antibodies in patients presenting with early inflammatory rheumatic conditions should not be performed except in case of clinical suspicion of celiac disease.
Q2

Association Between Diagnostic Delay and Economic and Clinical Burden in Axial Spondyloarthritis: A Multicentre Retrospective Observational Study
Berbel-Arcobé L., Aparicio M., Calvet J., Arévalo M., Nack A., Juanola X., Toniolo E., Maratia S., Lizán L., Gratacós J.
Axial spondyloarthritis (axSpA) is a chronic inflammatory condition associated with considerable pain and impaired health-related quality of life (HRQoL) for affected patients. Despite the documented increase in healthcare resource utilization (HRU) related to axSpA, few studies have explored the impact of diagnostic delays on these outcomes. This study sought to determine the association between diagnostic delay of axial spondyloarthritis (axSpA) and costs in the 3 years after diagnosis. This is a retrospective, observational study based on routine follow-up data from adult patients with confirmed axSpA diagnosis in three tertiary Spanish hospitals. Sociodemographic and clinical variables were collected at diagnosis. Direct and indirect healthcare costs were estimated from healthcare resource use (HRU) and productivity losses. The correlation between diagnostic delay and total healthcare costs was analyzed. Eighty-two patients (62.2% men; mean age: 39.3 years at diagnosis) were included, mostly with radiographic axSpA (r-axSpA) (67.1%). The mean (standard deviation, SD) diagnostic delay was 10.1 (9.3) years, with a median (interquartile range, IQR) of 5.4 (2.3, 17.2) years. The mean total healthcare cost per patient accumulated over 3 years was €25,812.6 (direct: €16,384.7; indirect: €9427.9). Patients with longer diagnostic delay (> 5.4 years) had 57% higher total healthcare cost (€31,717.7 vs. €20,188.7, p = 0.029) and higher disease activity at diagnosis (BASDAI score 4.7 vs. 3.4, p = 0.007) and after 3 years (3.9 vs. 2.9, p = 0.042) compared to those with shorter delay (≤ 5.4 years). The diagnostic delay in axSpA remains high and is associated with an increase in healthcare costs post-diagnosis. Actions to reduce diagnostic delay should be prioritized by healthcare systems to potentially improve outcomes and reduce long-term costs.
Q2

Real-World Prevalence, Incidence and Management of Systemic Lupus Erythematosus in Germany: A Retrospective Claims Data Analysis
Alexander T., Sewerin P., Strangfeld A., Schulte M., Borchert J., Garcia T.B., Schrom E.
This study evaluated the prevalence and incidence of systemic lupus erythematosus (SLE) in Germany and explored real-world data on sequence of therapy (SOT; sequence of drugs as prescribed in clinical practice). This retrospective, observational, longitudinal cohort study using German claims data from the WIG2 GmbH Scientific Institute for Health Economics and Health System Research database (January 2011–December 2019), extrapolated to the statutory health insurance (SHI)-insured population, evaluated prevalence and incidence in an epidemiological analysis group and SLE treatment patterns in an incident cohort (subgroup ≥ 18 years of age with incident disease and ≥ 24-month follow-up post index date). Analyses were descriptive. Based on the epidemiological analysis (N = 3017), annual SLE prevalence per 100,000 gradually increased from 40.47 in 2012 to 59.87 in 2019 in the SHI population. In contrast, annual SLE incidence was relatively stable, ranging from 8.83 in 2012 to 8.86 in 2019. In the incident cohort (n = 941), based on SOT analysis (n = 681), treatment gaps of > 60 days were common: 67.1%, 51.2% and 54.9% in SOT1, SOT2 and SOT3, respectively. Corticosteroids were the most frequent monotherapy in SOT1 (31.0% vs 0% in SOT2/SOT3); 30.0–70.0% of patients received a corticosteroid combination therapy across SOTs. Over 50% of patients in each SOT received an antimalarial therapy (combination or monotherapies). The use of biologic disease-modifying drugs was low, ranging from 0.4% in SOT1 to 9.7% in SOT3. Our data demonstrate an increased prevalence of SLE with stable incidence in Germany, suggesting improved survival of affected patients. Nevertheless, suboptimal treatment patterns, including limited use of biologics, reflect a high unmet need for optimised and personalised therapies in patients with SLE.
Q2

Real-World Persistence and Effectiveness of Upadacitinib versus Other Janus Kinase Inhibitors and Tumor Necrosis Factor Inhibitors in Australian Patients with Rheumatoid Arthritis
Youssef P., Ciciriello S., Tahir T., Leadbetter J., Butcher B., Calao M., Walsh N., O’Sullivan C., Smith T., Littlejohn G.
This study sought to describe treatment patterns, persistence, and effectiveness of upadacitinib (UPA) alone and compared to other Janus kinase inhibitors (JAKis) or tumor necrosis factor inhibitors (TNFis) in patients with rheumatoid arthritis (RA). This retrospective, non-interventional study used the OPAL dataset, derived from electronic medical records. Patients initiated UPA (N = 2624), other JAKis (baricitinib and tofacitinib [N = 925]), or TNFis (adalimumab, etanercept, certolizumab, golimumab, infliximab [N = 3540]) between May 2020 and March 2023. Median persistence (Kaplan–Meier) and effectiveness (Disease Activity Score 28-joint C-reactive protein, three variables [DAS28CRP{3}]) were evaluated for UPA-treated patients and in three propensity score-matched cohorts: UPA monotherapy versus combination therapy, UPA versus other JAKis, and UPA versus TNFis. In patients prescribed UPA, 41.3% were ≥ 65 years old, 33.8% were prescribed as first-line advanced therapy, and 27.2% were prescribed monotherapy. Persistence on UPA was 26.6 months (95% confidence intervals: 24.4, 29.9) and longest in earlier lines of therapy. The DAS28CRP(3) remission rate was 73% at 3 months, with improvements observed across lines of therapy. UPA monotherapy and combination therapy had similar persistence (27.8 [23.5, 33.4] versus 30.4 months [22.1, 35.3], p = 0.84) and effectiveness. UPA showed longer persistence than other JAKis (28.8 [25.6, 32.4] versus 17.2 months [14.9, 19.8], p < 0.001) and TNFis (26.6 [24.9, 30.8] versus 13.3 months [11.5, 14.5], p < 0.001). DAS28CRP(3) remission rates were greater at 3 months for UPA than other JAKis (75.0% versus 61.5%) and TNFis (72.7% versus 59.5%). In unmatched subgroups, compared to cycling between TNFis, switching to UPA from other JAKis or TNFis resulted in longer persistence (JAKi-to-UPA: 25.3 [16.1, not reached]; TNFi-to-UPA: 27.8 [23.2, 35.4]; TNFi-to-TNFi: 9.6 [8.4, 10.7]) and greater DAS28CRP(3) remission rates over 9 months. Overall, the breadth and depth of data from this large real-world dataset continue to support a favorable clinical profile of UPA for the treatment of RA and may inform treatment choices in everyday clinical practice. This study of patients treated in clinical practice looked at how a targeted medication, a Janus kinase inhibitor (JAKi) called upadacitinib, was used to treat rheumatoid arthritis, a disease that causes joint pain and damage. The researchers wanted to see how long patients continued treatment with upadacitinib, how effective it was at reducing symptoms, and how these outcomes compared to other JAKis (baricitinib and tofacitinib) and tumor necrosis factor inhibitors, a different type of advanced medication. Patients continued upadacitinib treatment for a median time of over 2 years. Those patients who had never previously used JAKis or tumor necrosis factor inhibitors continued upadacitinib treatment longer than those patients with previous experience. Patients treated with upadacitinib alone or in combination with less advanced medications like methotrexate continued treatment for a similar length of time. Compared to other JAKis and tumor necrosis factor inhibitors, patients prescribed upadacitinib stayed on their treatment the longest. Upadacitinib helped to lessen the symptoms of rheumatoid arthritis, whether patients took it alone or in combination with medications like methotrexate. After 3 months, more patients treated with upadacitinib experienced reduced symptoms than patients treated with other JAKis or tumor necrosis factor inhibitors. Additionally, patients who switched to upadacitinib after using other JAKis or tumor necrosis factor inhibitors reduced their symptoms and continued treatment for longer than those switching between tumor necrosis factor inhibitors. Overall, patients treated with upadacitinib continued treatment for longer and saw greater improvements in the symptoms of rheumatoid arthritis than patients prescribed other advanced medications.
Q2

Evaluation of Safety and Efficacy of a Single Lorecivivint Injection in Patients with Knee Osteoarthritis: A Multicenter, Observational Extension Trial
Swearingen C.J., Tambiah J.R., Simsek I., Ghandehari H., Kennedy S., Yazici Y.
Lorecivivint (LOR), a CDC-like kinase/dual-specificity tyrosine kinase (CLK/DYRK) inhibitor thought to modulate inflammatory and Wnt pathways, is being developed as a potential intra-articular knee osteoarthritis (OA) treatment. The objective of this trial was to evaluate long-term safety of LOR within an observational extension of two phase 2 trials. This 60-month, observational extension study (NCT02951026) of a 12-month phase 2a trial (NCT02536833) and 6-month phase 2b trial (NCT03122860) was administratively closed after 36 months as data inferences became limited. Participants received a single intra-articular LOR or placebo (PBO) injection at their parent-trial baseline. The primary outcome was the comparative incidence of serious adverse events (SAEs), with AEs and similar safety measures comprising secondary outcomes. A post hoc baseline-adjusted analysis of covariance (ANCOVA) compared changes from baseline in Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) Pain and Function subscores and medial joint space width (JSW) between LOR 0.07 mg and PBO groups in a subpopulation of participants with unilateral knee pain and widespread pain low enough to allow participants to differentiate their target knee pain. The safety analysis set for the extension study included 495 LOR-treated and 208 control participants, with 409 (82.6%) and 175 (84.1%) remaining at study close, respectively. There were 68 SAEs reported in 38 (5.4%) patients; none were considered treatment-related by investigators. The incidence of AEs was similar between groups. In the post hoc subgroup efficacy analyses, LOR 0.07 mg demonstrated greater mean improvements from baseline compared with PBO in WOMAC pain and function scores out to 12 months post-injection. No between-group differences in medial JSW were observed out to 18 months. LOR appeared generally safe and well tolerated. Efficacy analyses on the subset of completer patients demonstrated durable symptom improvements in WOMAC pain and function for at least 12 months compared to PBO after a single injection of LOR. NCT02951026. Knee osteoarthritis (OA) is the most common degenerative joint disease and significantly impairs patients’ function and quality of life. Lorecivivint (LOR) is a drug candidate undergoing clinical trials as an injectable treatment for knee OA. It inhibits molecules in joint cells (called CLKs and DYRKs) that regulate inflammatory (affecting pain) and Wnt (affecting cartilage and bone turnover) pathways; abnormalities of both contribute to OA. We report data from patients with knee OA who completed two randomized, placebo (PBO)-controlled trials and who chose to continue to be observed for up to 3 years. They did not receive any new LOR injections but continued to get regular exams and annual X-rays by their clinicians and to report any (new / ongoing) health problems. An analysis was performed matching patients with similar clinical features (especially regarding their knee pain) from both trials, to see if a 0.07 mg dose of LOR was safe and if it affected knee pain and function. LOR appeared to be well tolerated, with few side effects that were similar in number to those receiving the placebo. More patients in the LOR-treated group reported feeling less knee pain and improved function than those in the PBO group; however, because knee x-rays of patients in both LOR and PBO groups showed no worsening of their OA over this time period, the evidence remained inconclusive. The profound need for safe, disease-modifying OA treatments and the encouraging results from this study support the continued development of LOR as a treatment for knee osteoarthritis.
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|
Mycorrhiza
27 citations, 0.18%
|
|
Nanotechnology in the Life Sciences
27 citations, 0.18%
|
|
Bioresource Technology Reports
26 citations, 0.17%
|
|
Research in Plant Disease
26 citations, 0.17%
|
|
RSC Advances
25 citations, 0.16%
|
|
AMB Express
25 citations, 0.16%
|
|
Rhizosphere
24 citations, 0.16%
|
|
Show all (70 more) | |
100
200
300
400
500
600
700
|
Citing publishers
500
1000
1500
2000
2500
3000
3500
|
|
Elsevier
3138 citations, 20.58%
|
|
Springer Nature
2875 citations, 18.86%
|
|
MDPI
1998 citations, 13.11%
|
|
Wiley
901 citations, 5.91%
|
|
Taylor & Francis
748 citations, 4.91%
|
|
Korean Society of Mycology
730 citations, 4.79%
|
|
Frontiers Media S.A.
572 citations, 3.75%
|
|
Scientific Societies
219 citations, 1.44%
|
|
Public Library of Science (PLoS)
181 citations, 1.19%
|
|
American Chemical Society (ACS)
152 citations, 1%
|
|
American Society for Microbiology
142 citations, 0.93%
|
|
Magnolia Press
133 citations, 0.87%
|
|
Hindawi Limited
133 citations, 0.87%
|
|
Pensoft Publishers
112 citations, 0.73%
|
|
Royal Society of Chemistry (RSC)
109 citations, 0.71%
|
|
Oxford University Press
104 citations, 0.68%
|
|
IOP Publishing
103 citations, 0.68%
|
|
Cold Spring Harbor Laboratory
96 citations, 0.63%
|
|
Korean Society of Plant Pathology
81 citations, 0.53%
|
|
Walter de Gruyter
75 citations, 0.49%
|
|
Pleiades Publishing
72 citations, 0.47%
|
|
King Saud University
72 citations, 0.47%
|
|
Bentham Science Publishers Ltd.
67 citations, 0.44%
|
|
AIP Publishing
49 citations, 0.32%
|
|
American Bryological & Lichenological Society
49 citations, 0.32%
|
|
IntechOpen
46 citations, 0.3%
|
|
Han-Gug Misaengmul Hag-hoe/The Microbiological Society of Korea
44 citations, 0.29%
|
|
SciELO
42 citations, 0.28%
|
|
Academic Journals
41 citations, 0.27%
|
|
PeerJ
38 citations, 0.25%
|
|
Science Alert
38 citations, 0.25%
|
|
Begell House
34 citations, 0.22%
|
|
Scientific Research Publishing
34 citations, 0.22%
|
|
SAGE
31 citations, 0.2%
|
|
Trans Tech Publications
28 citations, 0.18%
|
|
Canadian Science Publishing
28 citations, 0.18%
|
|
Cambridge University Press
26 citations, 0.17%
|
|
EDP Sciences
24 citations, 0.16%
|
|
Herzogia
24 citations, 0.16%
|
|
International Society for Horticultural Science (ISHS)
22 citations, 0.14%
|
|
Mary Ann Liebert
20 citations, 0.13%
|
|
International Mycological Association
20 citations, 0.13%
|
|
Research Square Platform LLC
20 citations, 0.13%
|
|
Westerdijk Fungal Biodiversity Institute
19 citations, 0.12%
|
|
Akademiai Kiado
18 citations, 0.12%
|
|
The Mycological Society of Japan
18 citations, 0.12%
|
|
Asian Network for Scientific Information
17 citations, 0.11%
|
|
Microbiology Society
17 citations, 0.11%
|
|
Journal of Pure and Applied Microbiology
16 citations, 0.1%
|
|
Korean Society for Microbiology and Biotechnology
16 citations, 0.1%
|
|
Oriental Scientific Publishing Company
14 citations, 0.09%
|
|
Ovid Technologies (Wolters Kluwer Health)
13 citations, 0.09%
|
|
Korean Society for Biotechnology and Bioengineering
13 citations, 0.09%
|
|
Korean Society of Food Science and Technology
12 citations, 0.08%
|
|
IGI Global
12 citations, 0.08%
|
|
Institution of Engineering and Technology (IET)
11 citations, 0.07%
|
|
Komarov Botanical Institute of the Russian Academy of Sciences
11 citations, 0.07%
|
|
Tsinghua University Press
10 citations, 0.07%
|
|
Sociedade Brasileira de Ciencia e Tecnologia de Alimentos
10 citations, 0.07%
|
|
Instituto de Tecnologia do Parana
10 citations, 0.07%
|
|
American Institute of Mathematical Sciences (AIMS)
9 citations, 0.06%
|
|
Spandidos Publications
9 citations, 0.06%
|
|
Academia Brasileira de Ciencias
9 citations, 0.06%
|
|
A and V Publications
9 citations, 0.06%
|
|
CSIRO Publishing
8 citations, 0.05%
|
|
Georg Thieme Verlag KG
7 citations, 0.05%
|
|
Proceedings of the National Academy of Sciences (PNAS)
7 citations, 0.05%
|
|
Inter-Research Science Center
7 citations, 0.05%
|
|
National Research Council Canada
7 citations, 0.05%
|
|
Annual Reviews
7 citations, 0.05%
|
|
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)
7 citations, 0.05%
|
|
6 citations, 0.04%
|
|
Czech Academy of Agricultural Sciences
6 citations, 0.04%
|
|
6 citations, 0.04%
|
|
Museum National d'Histoire Naturelle, Paris, France
6 citations, 0.04%
|
|
American Society for Horticultural Science
6 citations, 0.04%
|
|
Plant Management Network
6 citations, 0.04%
|
|
Korean Biodiversity Information Facility
6 citations, 0.04%
|
|
Korean Society of Food Science and Nutrition
6 citations, 0.04%
|
|
Asociacion Espanola de Micologia
6 citations, 0.04%
|
|
Asian Journal of Chemistry
6 citations, 0.04%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
6 citations, 0.04%
|
|
Social Science Electronic Publishing
6 citations, 0.04%
|
|
National Library of Serbia
6 citations, 0.04%
|
|
Brieflands
6 citations, 0.04%
|
|
Emerald
5 citations, 0.03%
|
|
Pharmaceutical Society of Japan
5 citations, 0.03%
|
|
Korean Society of Industrial Engineering Chemistry
5 citations, 0.03%
|
|
Wageningen Academic Publishers
5 citations, 0.03%
|
|
5 citations, 0.03%
|
|
The Korean Society for Applied Biological Chemistry
5 citations, 0.03%
|
|
Entomological Society of America
5 citations, 0.03%
|
|
British Society for Plant Pathology
5 citations, 0.03%
|
|
Akademizdatcenter Nauka
5 citations, 0.03%
|
|
Korean Society of Horticultural Science
5 citations, 0.03%
|
|
World Scientific
4 citations, 0.03%
|
|
Microbiology Research Foundation
4 citations, 0.03%
|
|
Faculty of Agriculture, Ain-Shams University
4 citations, 0.03%
|
|
International Dose-Response Society
4 citations, 0.03%
|
|
American Society for Biochemistry and Molecular Biology
4 citations, 0.03%
|
|
Show all (70 more) | |
500
1000
1500
2000
2500
3000
3500
|
Publishing organizations
20
40
60
80
100
120
|
|
Rural Development Administration
120 publications, 9.35%
|
|
Korea University
83 publications, 6.47%
|
|
Kangwon National University
79 publications, 6.16%
|
|
Seoul National University
77 publications, 6%
|
|
Sunchon National University
77 publications, 6%
|
|
Kyungpook National University
63 publications, 4.91%
|
|
Chonnam National University
62 publications, 4.83%
|
|
Chonbuk National University
61 publications, 4.75%
|
|
Gyeongsang National University
61 publications, 4.75%
|
|
Dongguk University
59 publications, 4.6%
|
|
National Institute of Biological Resources
59 publications, 4.6%
|
|
Chungnam National University
58 publications, 4.52%
|
|
Dankook University
43 publications, 3.35%
|
|
Banaras Hindu University
34 publications, 2.65%
|
|
Institute for Basic Science
21 publications, 1.64%
|
|
Konkuk University
20 publications, 1.56%
|
|
Kunsan National University
20 publications, 1.56%
|
|
Chungbuk National University
19 publications, 1.48%
|
|
University of Rajshahi
18 publications, 1.4%
|
|
Chosun University
15 publications, 1.17%
|
|
South Valley University
15 publications, 1.17%
|
|
Daegu University
14 publications, 1.09%
|
|
Korea Research Institute of Chemical Technology
13 publications, 1.01%
|
|
Kunming Institute of Botany, Chinese Academy of Sciences
13 publications, 1.01%
|
|
Hankyong National University
13 publications, 1.01%
|
|
Sungkyunkwan University
12 publications, 0.94%
|
|
Korea Research Institute of Bioscience and Biotechnology
12 publications, 0.94%
|
|
Chung-Ang University
12 publications, 0.94%
|
|
Pusan National University
12 publications, 0.94%
|
|
Catholic Kwandong University
12 publications, 0.94%
|
|
Yangtze University
11 publications, 0.86%
|
|
Korea Food Research Institute
11 publications, 0.86%
|
|
Dong-A University
10 publications, 0.78%
|
|
Assiut University
10 publications, 0.78%
|
|
Wonkwang University
9 publications, 0.7%
|
|
Incheon National University
9 publications, 0.7%
|
|
Woosuk University
9 publications, 0.7%
|
|
Chinese Academy of Medical Sciences & Peking Union Medical College
8 publications, 0.62%
|
|
Yeungnam University
8 publications, 0.62%
|
|
Korea Polar Research Institute
8 publications, 0.62%
|
|
Hanyang University
7 publications, 0.55%
|
|
Konyang University
7 publications, 0.55%
|
|
Daejeon University
7 publications, 0.55%
|
|
Zagazig University
7 publications, 0.55%
|
|
Yonsei University
6 publications, 0.47%
|
|
Mie University
6 publications, 0.47%
|
|
Tanta University
6 publications, 0.47%
|
|
Jahangirnagar University
6 publications, 0.47%
|
|
Hue University
5 publications, 0.39%
|
|
North-Eastern Hill University
5 publications, 0.39%
|
|
Kasetsart University
5 publications, 0.39%
|
|
Mae Fah Luang University
5 publications, 0.39%
|
|
Inha University
5 publications, 0.39%
|
|
Yunnan University
5 publications, 0.39%
|
|
University of British Columbia
5 publications, 0.39%
|
|
University of Chittagong
5 publications, 0.39%
|
|
Vietnam Academy of Science and Technology
4 publications, 0.31%
|
|
University of Science, Malaysia
4 publications, 0.31%
|
|
Huazhong Agricultural University
4 publications, 0.31%
|
|
University of Queensland
4 publications, 0.31%
|
|
Catholic University of Korea
4 publications, 0.31%
|
|
Lingnan University
4 publications, 0.31%
|
|
Rutgers, The State University of New Jersey
4 publications, 0.31%
|
|
Sangmyung University
4 publications, 0.31%
|
|
Seoul Women's University
4 publications, 0.31%
|
|
Gangneung-Wonju National University
4 publications, 0.31%
|
|
Sangji University
4 publications, 0.31%
|
|
Goethe University Frankfurt
4 publications, 0.31%
|
|
Mansoura University
4 publications, 0.31%
|
|
Minia University
4 publications, 0.31%
|
|
Komarov Botanical Institute of the Russian Academy of Sciences
3 publications, 0.23%
|
|
King Abdulaziz University
3 publications, 0.23%
|
|
Savitribai Phule Pune University
3 publications, 0.23%
|
|
University of Malaya
3 publications, 0.23%
|
|
Govind Ballabh Pant University of Agriculture and Technology
3 publications, 0.23%
|
|
Manonmaniam Sundaranar University
3 publications, 0.23%
|
|
National Taiwan University
3 publications, 0.23%
|
|
University of Pretoria
3 publications, 0.23%
|
|
University of Ibadan
3 publications, 0.23%
|
|
National Science and Technology Development Agency
3 publications, 0.23%
|
|
King Mongkut's Institute of Technology Ladkrabang
3 publications, 0.23%
|
|
Korea Institute of Science and Technology
3 publications, 0.23%
|
|
Korea University of Science and Technology
3 publications, 0.23%
|
|
Pohang University of Science and Technology
3 publications, 0.23%
|
|
University of Ulsan
3 publications, 0.23%
|
|
Sejong University
3 publications, 0.23%
|
|
Ewha Womans University
3 publications, 0.23%
|
|
Jeju National University
3 publications, 0.23%
|
|
Kongju National University
3 publications, 0.23%
|
|
Changwon National University
3 publications, 0.23%
|
|
Korea Institute of Ocean Science & Technology
3 publications, 0.23%
|
|
Friedrich Schiller University Jena
3 publications, 0.23%
|
|
Kyungnam University
3 publications, 0.23%
|
|
Southwest Forestry University
3 publications, 0.23%
|
|
Guangxi University
3 publications, 0.23%
|
|
Korea Institute of Industrial Technology
3 publications, 0.23%
|
|
Senckenberg Biodiversity and Climate Research Centre
3 publications, 0.23%
|
|
University of Wisconsin–Madison
3 publications, 0.23%
|
|
Cranfield University
3 publications, 0.23%
|
|
Babes-Bolyai University
3 publications, 0.23%
|
|
Show all (70 more) | |
20
40
60
80
100
120
|
Publishing organizations in 5 years
5
10
15
20
25
30
35
|
|
National Institute of Biological Resources
33 publications, 12.27%
|
|
Kyungpook National University
29 publications, 10.78%
|
|
Korea University
26 publications, 9.67%
|
|
Seoul National University
25 publications, 9.29%
|
|
Rural Development Administration
14 publications, 5.2%
|
|
Chonnam National University
13 publications, 4.83%
|
|
Gyeongsang National University
12 publications, 4.46%
|
|
Kunsan National University
12 publications, 4.46%
|
|
Sunchon National University
8 publications, 2.97%
|
|
Chonbuk National University
7 publications, 2.6%
|
|
Catholic Kwandong University
5 publications, 1.86%
|
|
Yeungnam University
4 publications, 1.49%
|
|
Kangwon National University
4 publications, 1.49%
|
|
Incheon National University
4 publications, 1.49%
|
|
Yunnan University
4 publications, 1.49%
|
|
Vietnam Academy of Science and Technology
3 publications, 1.12%
|
|
Hue University
3 publications, 1.12%
|
|
University of Malaya
3 publications, 1.12%
|
|
National Science and Technology Development Agency
3 publications, 1.12%
|
|
Konkuk University
3 publications, 1.12%
|
|
Chungbuk National University
3 publications, 1.12%
|
|
Changwon National University
3 publications, 1.12%
|
|
Korea Polar Research Institute
3 publications, 1.12%
|
|
Southwest Forestry University
3 publications, 1.12%
|
|
Goethe University Frankfurt
3 publications, 1.12%
|
|
Senckenberg Biodiversity and Climate Research Centre
3 publications, 1.12%
|
|
Mie University
3 publications, 1.12%
|
|
Savitribai Phule Pune University
2 publications, 0.74%
|
|
University of Chinese Academy of Sciences
2 publications, 0.74%
|
|
Central South University of Forestry and Technology
2 publications, 0.74%
|
|
Yangtze University
2 publications, 0.74%
|
|
Charles University
2 publications, 0.74%
|
|
University of Queensland
2 publications, 0.74%
|
|
University of Pretoria
2 publications, 0.74%
|
|
Chiang Mai University
2 publications, 0.74%
|
|
Mae Fah Luang University
2 publications, 0.74%
|
|
Royal Society of Thailand
2 publications, 0.74%
|
|
Sungkyunkwan University
2 publications, 0.74%
|
|
Asan Medical Center
2 publications, 0.74%
|
|
University of Ulsan
2 publications, 0.74%
|
|
Sejong University
2 publications, 0.74%
|
|
Chungnam National University
2 publications, 0.74%
|
|
Animal and Plant Quarantine Agency
2 publications, 0.74%
|
|
Dankook University
2 publications, 0.74%
|
|
Woosuk University
2 publications, 0.74%
|
|
Seoul Women's University
2 publications, 0.74%
|
|
Guangxi University
2 publications, 0.74%
|
|
Nanning Normal University
2 publications, 0.74%
|
|
Irkutsk State University
1 publication, 0.37%
|
|
King Khalid University
1 publication, 0.37%
|
|
King Abdulaziz University
1 publication, 0.37%
|
|
Shahid Beheshti University
1 publication, 0.37%
|
|
Punjab Agricultural University
1 publication, 0.37%
|
|
Thai Nguyen University of Agriculture and Forestry
1 publication, 0.37%
|
|
Vietnam National University of Agriculture
1 publication, 0.37%
|
|
Quy Nhon University
1 publication, 0.37%
|
|
Guru Ghasidas Vishwavidyalaya
1 publication, 0.37%
|
|
Shanghai Jiao Tong University
1 publication, 0.37%
|
|
Harbin Institute of Technology
1 publication, 0.37%
|
|
University of Rajasthan
1 publication, 0.37%
|
|
South China University of Technology
1 publication, 0.37%
|
|
Karpagam Academy of Higher Education
1 publication, 0.37%
|
|
University of Electronic Science and Technology of China
1 publication, 0.37%
|
|
Ghent University
1 publication, 0.37%
|
|
University of Lisbon
1 publication, 0.37%
|
|
University of Malaysia Sabah
1 publication, 0.37%
|
|
University of Helsinki
1 publication, 0.37%
|
|
China University of Geosciences (Wuhan)
1 publication, 0.37%
|
|
Hunan Normal University
1 publication, 0.37%
|
|
Sultan Qaboos University
1 publication, 0.37%
|
|
University of Turin
1 publication, 0.37%
|
|
Huanggang Normal University
1 publication, 0.37%
|
|
Southern University of Science and Technology
1 publication, 0.37%
|
|
Zhongkai University of Agriculture and Engineering
1 publication, 0.37%
|
|
Chengdu University of Traditional Chinese Medicine
1 publication, 0.37%
|
|
National Taiwan University
1 publication, 0.37%
|
|
Taipei Medical University
1 publication, 0.37%
|
|
China Medical University (Taiwan)
1 publication, 0.37%
|
|
National Changhua University of Education
1 publication, 0.37%
|
|
National Chung Hsing University
1 publication, 0.37%
|
|
Anhui University of Technology
1 publication, 0.37%
|
|
Hefei Normal University
1 publication, 0.37%
|
|
Northeast Forestry University
1 publication, 0.37%
|
|
Guizhou University
1 publication, 0.37%
|
|
Guizhou University of Traditional Chinese Medicine
1 publication, 0.37%
|
|
Pennsylvania State University
1 publication, 0.37%
|
|
Stellenbosch University
1 publication, 0.37%
|
|
North-West University
1 publication, 0.37%
|
|
Gadjah Mada University
1 publication, 0.37%
|
|
Kasetsart University
1 publication, 0.37%
|
|
King Mongkut's Institute of Technology Ladkrabang
1 publication, 0.37%
|
|
Korea Institute of Science and Technology
1 publication, 0.37%
|
|
Korea Research Institute of Bioscience and Biotechnology
1 publication, 0.37%
|
|
Korea Research Institute of Chemical Technology
1 publication, 0.37%
|
|
Korea University of Science and Technology
1 publication, 0.37%
|
|
Pusan National University
1 publication, 0.37%
|
|
Catholic University of Korea
1 publication, 0.37%
|
|
Lingnan University
1 publication, 0.37%
|
|
Rutgers, The State University of New Jersey
1 publication, 0.37%
|
|
Kookmin University
1 publication, 0.37%
|
|
Show all (70 more) | |
5
10
15
20
25
30
35
|
Publishing countries
100
200
300
400
500
600
700
800
900
1000
|
|
Republic of Korea
|
Republic of Korea, 983, 76.62%
Republic of Korea
983 publications, 76.62%
|
China
|
China, 115, 8.96%
China
115 publications, 8.96%
|
India
|
India, 78, 6.08%
India
78 publications, 6.08%
|
Egypt
|
Egypt, 52, 4.05%
Egypt
52 publications, 4.05%
|
USA
|
USA, 37, 2.88%
USA
37 publications, 2.88%
|
Japan
|
Japan, 30, 2.34%
Japan
30 publications, 2.34%
|
Bangladesh
|
Bangladesh, 28, 2.18%
Bangladesh
28 publications, 2.18%
|
Thailand
|
Thailand, 22, 1.71%
Thailand
22 publications, 1.71%
|
Vietnam
|
Vietnam, 21, 1.64%
Vietnam
21 publications, 1.64%
|
Germany
|
Germany, 15, 1.17%
Germany
15 publications, 1.17%
|
Hungary
|
Hungary, 11, 0.86%
Hungary
11 publications, 0.86%
|
Nepal
|
Nepal, 11, 0.86%
Nepal
11 publications, 0.86%
|
Saudi Arabia
|
Saudi Arabia, 11, 0.86%
Saudi Arabia
11 publications, 0.86%
|
Ukraine
|
Ukraine, 10, 0.78%
Ukraine
10 publications, 0.78%
|
Malaysia
|
Malaysia, 10, 0.78%
Malaysia
10 publications, 0.78%
|
Czech Republic
|
Czech Republic, 10, 0.78%
Czech Republic
10 publications, 0.78%
|
Canada
|
Canada, 9, 0.7%
Canada
9 publications, 0.7%
|
Australia
|
Australia, 7, 0.55%
Australia
7 publications, 0.55%
|
United Kingdom
|
United Kingdom, 7, 0.55%
United Kingdom
7 publications, 0.55%
|
Nigeria
|
Nigeria, 6, 0.47%
Nigeria
6 publications, 0.47%
|
Netherlands
|
Netherlands, 6, 0.47%
Netherlands
6 publications, 0.47%
|
South Africa
|
South Africa, 6, 0.47%
South Africa
6 publications, 0.47%
|
Indonesia
|
Indonesia, 5, 0.39%
Indonesia
5 publications, 0.39%
|
Mexico
|
Mexico, 5, 0.39%
Mexico
5 publications, 0.39%
|
Russia
|
Russia, 4, 0.31%
Russia
4 publications, 0.31%
|
France
|
France, 4, 0.31%
France
4 publications, 0.31%
|
Romania
|
Romania, 4, 0.31%
Romania
4 publications, 0.31%
|
Argentina
|
Argentina, 3, 0.23%
Argentina
3 publications, 0.23%
|
Philippines
|
Philippines, 3, 0.23%
Philippines
3 publications, 0.23%
|
Portugal
|
Portugal, 2, 0.16%
Portugal
2 publications, 0.16%
|
Belgium
|
Belgium, 2, 0.16%
Belgium
2 publications, 0.16%
|
Brazil
|
Brazil, 2, 0.16%
Brazil
2 publications, 0.16%
|
Israel
|
Israel, 2, 0.16%
Israel
2 publications, 0.16%
|
Iran
|
Iran, 2, 0.16%
Iran
2 publications, 0.16%
|
Spain
|
Spain, 2, 0.16%
Spain
2 publications, 0.16%
|
Turkey
|
Turkey, 2, 0.16%
Turkey
2 publications, 0.16%
|
Finland
|
Finland, 2, 0.16%
Finland
2 publications, 0.16%
|
Austria
|
Austria, 1, 0.08%
Austria
1 publication, 0.08%
|
Algeria
|
Algeria, 1, 0.08%
Algeria
1 publication, 0.08%
|
Afghanistan
|
Afghanistan, 1, 0.08%
Afghanistan
1 publication, 0.08%
|
Bulgaria
|
Bulgaria, 1, 0.08%
Bulgaria
1 publication, 0.08%
|
Botswana
|
Botswana, 1, 0.08%
Botswana
1 publication, 0.08%
|
Dominican Republic
|
Dominican Republic, 1, 0.08%
Dominican Republic
1 publication, 0.08%
|
Jordan
|
Jordan, 1, 0.08%
Jordan
1 publication, 0.08%
|
Iraq
|
Iraq, 1, 0.08%
Iraq
1 publication, 0.08%
|
Iceland
|
Iceland, 1, 0.08%
Iceland
1 publication, 0.08%
|
Italy
|
Italy, 1, 0.08%
Italy
1 publication, 0.08%
|
Colombia
|
Colombia, 1, 0.08%
Colombia
1 publication, 0.08%
|
Libya
|
Libya, 1, 0.08%
Libya
1 publication, 0.08%
|
Mongolia
|
Mongolia, 1, 0.08%
Mongolia
1 publication, 0.08%
|
Oman
|
Oman, 1, 0.08%
Oman
1 publication, 0.08%
|
Pakistan
|
Pakistan, 1, 0.08%
Pakistan
1 publication, 0.08%
|
Palestine
|
Palestine, 1, 0.08%
Palestine
1 publication, 0.08%
|
Poland
|
Poland, 1, 0.08%
Poland
1 publication, 0.08%
|
Uzbekistan
|
Uzbekistan, 1, 0.08%
Uzbekistan
1 publication, 0.08%
|
Switzerland
|
Switzerland, 1, 0.08%
Switzerland
1 publication, 0.08%
|
Sri Lanka
|
Sri Lanka, 1, 0.08%
Sri Lanka
1 publication, 0.08%
|
Ethiopia
|
Ethiopia, 1, 0.08%
Ethiopia
1 publication, 0.08%
|
Show all (28 more) | |
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Publishing countries in 5 years
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160
180
200
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|
Republic of Korea
|
Republic of Korea, 184, 68.4%
Republic of Korea
184 publications, 68.4%
|
China
|
China, 37, 13.75%
China
37 publications, 13.75%
|
Vietnam
|
Vietnam, 12, 4.46%
Vietnam
12 publications, 4.46%
|
USA
|
USA, 8, 2.97%
USA
8 publications, 2.97%
|
Thailand
|
Thailand, 8, 2.97%
Thailand
8 publications, 2.97%
|
India
|
India, 7, 2.6%
India
7 publications, 2.6%
|
Czech Republic
|
Czech Republic, 6, 2.23%
Czech Republic
6 publications, 2.23%
|
Germany
|
Germany, 4, 1.49%
Germany
4 publications, 1.49%
|
Saudi Arabia
|
Saudi Arabia, 4, 1.49%
Saudi Arabia
4 publications, 1.49%
|
Japan
|
Japan, 4, 1.49%
Japan
4 publications, 1.49%
|
Malaysia
|
Malaysia, 3, 1.12%
Malaysia
3 publications, 1.12%
|
South Africa
|
South Africa, 3, 1.12%
South Africa
3 publications, 1.12%
|
Australia
|
Australia, 2, 0.74%
Australia
2 publications, 0.74%
|
Egypt
|
Egypt, 2, 0.74%
Egypt
2 publications, 0.74%
|
Iran
|
Iran, 2, 0.74%
Iran
2 publications, 0.74%
|
France
|
France, 1, 0.37%
France
1 publication, 0.37%
|
Ukraine
|
Ukraine, 1, 0.37%
Ukraine
1 publication, 0.37%
|
Portugal
|
Portugal, 1, 0.37%
Portugal
1 publication, 0.37%
|
Afghanistan
|
Afghanistan, 1, 0.37%
Afghanistan
1 publication, 0.37%
|
Belgium
|
Belgium, 1, 0.37%
Belgium
1 publication, 0.37%
|
Botswana
|
Botswana, 1, 0.37%
Botswana
1 publication, 0.37%
|
Hungary
|
Hungary, 1, 0.37%
Hungary
1 publication, 0.37%
|
Dominican Republic
|
Dominican Republic, 1, 0.37%
Dominican Republic
1 publication, 0.37%
|
Indonesia
|
Indonesia, 1, 0.37%
Indonesia
1 publication, 0.37%
|
Jordan
|
Jordan, 1, 0.37%
Jordan
1 publication, 0.37%
|
Iceland
|
Iceland, 1, 0.37%
Iceland
1 publication, 0.37%
|
Italy
|
Italy, 1, 0.37%
Italy
1 publication, 0.37%
|
Colombia
|
Colombia, 1, 0.37%
Colombia
1 publication, 0.37%
|
Mexico
|
Mexico, 1, 0.37%
Mexico
1 publication, 0.37%
|
Mongolia
|
Mongolia, 1, 0.37%
Mongolia
1 publication, 0.37%
|
Oman
|
Oman, 1, 0.37%
Oman
1 publication, 0.37%
|
Pakistan
|
Pakistan, 1, 0.37%
Pakistan
1 publication, 0.37%
|
Turkey
|
Turkey, 1, 0.37%
Turkey
1 publication, 0.37%
|
Uzbekistan
|
Uzbekistan, 1, 0.37%
Uzbekistan
1 publication, 0.37%
|
Finland
|
Finland, 1, 0.37%
Finland
1 publication, 0.37%
|
Ethiopia
|
Ethiopia, 1, 0.37%
Ethiopia
1 publication, 0.37%
|
Show all (6 more) | |
20
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|
1 profile journal article
Malygina Ekaterina
🤝
Irkutsk State University
15 publications,
31 citations
h-index: 4
Research interests
Biochemistry
Green technologies
Molecular biology
1 profile journal article
Dmitrieva Maria

Irkutsk State University
20 publications,
41 citations
h-index: 4
1 profile journal article
Morgunova Maria

Irkutsk State University
17 publications,
41 citations
h-index: 4
1 profile journal article
Tanaka Eiji
40 publications,
914 citations
h-index: 15