Mohamed Asrih
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- Diet, Metabolism, and Disease 4
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 5
- Physiology top 10%
- Nutrition and Health in Aging 3
- Hepatology top 10%
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- Cardiovascular Function and Risk Factors 3
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- Fibroblast Growth Factor Research 4
- Epigenetics and DNA Methylation 4
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- Pancreatic function and diabetes 4
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- GDF15 and Related Biomarkers 3
- Co-authors
- François R. JornayvazSabine SteffensFrançoise Rohner‐JeanrenaudChristophe MontessuitJordi AltirribaKarim GarianiIrène PapageorgiouFabrizio Montecucco
- Journals
- PLoS ONE (2 papers)Scientific Reports (1 paper)American Journal of Physiology-Endocrinology and Metabolism (2 papers)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Mohamed Asrih
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 350
- Epidemiology 532
- Physiology 314
- Hepatology 74
- Cardiology and Cardiovascular Medicine 141
Countries citing papers authored by Mohamed Asrih
This map shows the geographic impact of Mohamed Asrih'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 Mohamed Asrih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Asrih more than expected).
Fields of papers citing papers by Mohamed Asrih
This network shows the impact of papers produced by Mohamed Asrih. 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 Mohamed Asrih. The network helps show where Mohamed Asrih may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohamed Asrih, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 36 | |
| 2 | 2021 | 11 | |
| 3 | 2021 | 10 | |
| 4 | 2020 | 7 | |
| 5 | 2019 | 4 | |
| 6 | 2017 | 36 | |
| 7 | 2016 | 4 | |
| 8 | 2016 | 31 | |
| 9 | 2015 | 248 | |
| 10 | 2015 | 40 | |
| 11 | 2015 | 58 | |
| 12 | 2015 | 19 | |
| 13 | 2013 | 129 | |
| 14 | 2013 | 16 | |
| 15 | 2013 | 237 | |
| 16 | 2013 | 6 | |
| 17 | 2013 | 32 | |
| 18 | 2012 | 67 | |
| 19 | 2012 | 14 | |
| 20 | 2012 | 18 |
About Mohamed Asrih
Mohamed Asrih is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Fibroblast Growth Factor Research (4 papers), Epigenetics and DNA Methylation (4 papers), Diet, Metabolism, and Disease (4 papers), Pancreatic function and diabetes (4 papers), GDF15 and Related Biomarkers (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (350 citations), Epidemiology (532 citations) and Physiology (314 citations). Mohamed Asrih has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include François R. Jornayvaz, Sabine Steffens, Françoise Rohner‐Jeanrenaud, Christophe Montessuit, Jordi Altirriba, Karim Gariani, Irène Papageorgiou, Fabrizio Montecucco, René Lerch and Dongryeol Ryu. Their work appears in journals such as PLoS ONE, Scientific Reports and American Journal of Physiology-Endocrinology and Metabolism.
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.