Márton Mohás
- Molecular Biology
- Physiology top 10%
- Geriatrics and Gerontology top 1%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Co-authors
- István WittmannJudit CsehG MolnárLajos MarkóBoglárka LaczyIstván András SzijártóEsztella MikolásÁkos Mérei
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Advanced Glycation End Products research (4 papers)Renal Diseases and Glomerulopathies (3 papers)
- Partner nations
- HungaryUnited KingdomPoland
In The Last Decade
Márton Mohás
19 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 328
- Physiology 319
- Geriatrics and Gerontology 292
- Endocrinology, Diabetes and Metabolism 174
- Epidemiology 147
Countries citing papers authored by Márton Mohás
This map shows the geographic impact of Márton Mohás's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Márton Mohás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márton Mohás more than expected).
Fields of papers citing papers by Márton Mohás
This network shows the impact of papers produced by Márton Mohás. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Márton Mohás. The network helps show where Márton Mohás may publish in the future.
Co-authorship network of co-authors of Márton Mohás
This figure shows the co-authorship network connecting the top 25 collaborators of Márton Mohás. A scholar is included among the top collaborators of Márton Mohás based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Márton Mohás. Márton Mohás is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | Resveratrol improves insulin sensitivity, reduces oxidative stress and activates the Akt pathway in type 2 diabetic patientsbreakdown → | 546 |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 33 | |
| 6 | Microalbuminuria in inflammatory bowel diseases using immunoturbidimetry and high-performance liquid chromatography. | 2 |
| 7 | 46 | |
| 8 | 32 | |
| 9 | 20 | |
| 10 | 24 | |
| 11 | Apolipoprotein A5 gene APOA5*2 haplotype variant confers risk for the development of metabolic syndrome | 0 |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 0 | |
| 15 | [The pleiotropic effects of losartan--the importance of decreasing uric acid level]. | 2 |
| 16 | 2 | |
| 17 | 30 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 44 |
About Márton Mohás
Márton Mohás is a scholar working on Clinical Biochemistry, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 890 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Advanced Glycation End Products research (4 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (292 citations), Biochemistry (76 citations) and Physiology (319 citations). Márton Mohás has collaborated with scholars based in Hungary, United Kingdom and Poland. Frequent co-authors include István Wittmann, Judit Cseh, G Molnár, Lajos Markó, Boglárka Laczy, István András Szijártó, Esztella Mikolás, Ákos Mérei, Pál Brasnyó and László Mészáros. Their work appears in journals such as Kidney International, Life Sciences and British Journal Of Nutrition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.