Michael S. Gersch
Impact in
- Nephrology top 1%
- Gout, Hyperuricemia, Uric Acid
- Chronic Kidney Disease and Diabetes
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- Diet, Metabolism, and Disease
Papers in
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- Gout, Hyperuricemia, Uric Acid 5
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- Alcohol Consumption and Health Effects 7
- Co-authors
- Richard J. Johnson (9 shared papers)Yuri Y. Sautin (5 shared papers)Takahiko Nakagawa (4 shared papers)Laura Gabriela Sánchez‐Lozada (4 shared papers)Duk-Hee Kang (2 shared papers)Mark S. Segal (2 shared papers)Daniel I. Feig (1 shared paper)Steven A. Benner (1 shared paper)
- Journals
- Journal of the American Society of Nephrology (3 papers)Nephrology Dialysis Transplantation (3 papers)Journal of Cell Science (1 paper)American Journal of Physiology-Renal Physiology (1 paper)American Journal of Kidney Diseases (1 paper)
- Partner nations
- United StatesMexicoVenezuela
In The Last Decade
Michael S. Gersch
13 papers receiving 1.7k citations
Michael S. Gersch's Hit Papers
Peers
Comparison fields: 5 of 117
- Nephrology 491
- Endocrinology, Diabetes and Metabolism 818
- Physiology 419
- Pathology and Forensic Medicine 260
- Epidemiology 465
Countries citing papers authored by Michael S. Gersch
This map shows the geographic impact of Michael S. Gersch'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 Michael S. Gersch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Gersch more than expected).
Fields of papers citing papers by Michael S. Gersch
This network shows the impact of papers produced by Michael S. Gersch. 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 Michael S. Gersch. The network helps show where Michael S. Gersch may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael S. Gersch, 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 | Potential role of sugar (fructose) in the epidemic of hypertension, obesity and the metabolic syndrome, diabetes, kidney disease, and cardiovascular disease Hit paper breakdown → | 2007 | 874 |
| 2 | 2009 | 247 | |
| 3 | 2005 | 225 | |
| 4 | 2006 | 165 | |
| 5 | 2010 | 152 | |
| 6 | 2008 | 44 | |
| 7 | 1997 | 34 | |
| 8 | 2006 | 15 | |
| 9 | 2006 | 11 | |
| 10 | 2005 | 8 | |
| 11 | 2006 | 7 | |
| 12 | 2004 | 7 | |
| 13 | 2000 | 6 |
About Michael S. Gersch
Michael S. Gersch is a scholar working on Nephrology, Pathology and Forensic Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (7 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Diet, Metabolism, and Disease (3 papers), Microtubule and mitosis dynamics (2 papers), Case Reports on Hematomas (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Nephrology (491 citations), Endocrinology, Diabetes and Metabolism (818 citations), Physiology (419 citations), Pathology and Forensic Medicine (260 citations) and Epidemiology (465 citations). Michael S. Gersch has collaborated with scholars based in United States, Mexico and Venezuela. Frequent co-authors include Richard J. Johnson, Yuri Y. Sautin, Takahiko Nakagawa, Laura Gabriela Sánchez‐Lozada, Duk-Hee Kang, Mark S. Segal, Daniel I. Feig, Steven A. Benner, Pietro Cirillo and Wei Mu. Their work appears in journals such as Journal of the American Society of Nephrology, Nephrology Dialysis Transplantation, Journal of Cell Science, American Journal of Physiology-Renal Physiology and American Journal of Kidney Diseases.
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.