Mario Kahn
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
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- Diet, Metabolism, and Disease
Papers in
- Epidemiology 14
- Liver Disease Diagnosis and Treatment 12
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- Lipid metabolism and biosynthesis 6
- Co-authors
- Gerald I. Shulman (36 shared papers)Varman T. Samuel (24 shared papers)Dongyan Zhang (14 shared papers)Sanjay Bhanot (9 shared papers)Sara A. Beddow (2 shared papers)Michael J. Jurczak (9 shared papers)Zhenxiang Liu (3 shared papers)Blas A. Guigni (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Clinical Investigation (5 papers)Diabetologia (4 papers)Cell Metabolism (4 papers)Diabetes (4 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Mario Kahn
41 papers receiving 3.3k citations
Mario Kahn's Hit Papers
Peers
Comparison fields: 5 of 98
- Biochemistry 467
- Endocrinology, Diabetes and Metabolism 869
- Epidemiology 1.4k
- Physiology 995
- Cell Biology 421
Countries citing papers authored by Mario Kahn
This map shows the geographic impact of Mario Kahn'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 Mario Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Kahn more than expected).
Fields of papers citing papers by Mario Kahn
This network shows the impact of papers produced by Mario Kahn. 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 Mario Kahn. The network helps show where Mario Kahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Kahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cellular mechanism of insulin resistance in nonalcoholic fatty liver disease Hit paper breakdown → | 2011 | 485 |
| 2 | 2007 | 435 | |
| 3 | 2007 | 333 | |
| 4 | 2013 | 194 | |
| 5 | 2007 | 163 | |
| 6 | 2013 | 162 | |
| 7 | 2013 | 137 | |
| 8 | 2011 | 131 | |
| 9 | 2009 | 130 | |
| 10 | 2020 | 124 | |
| 11 | 2013 | 113 | |
| 12 | 2009 | 94 | |
| 13 | 2013 | 83 | |
| 14 | 2012 | 79 | |
| 15 | 2012 | 70 | |
| 16 | 2009 | 64 | |
| 17 | 2011 | 64 | |
| 18 | Evidence for the genetic control of estradiol-regulated responses. Implications for variation in normal and pathological hormone-dependent phenotypes. | 1997 | 45 |
| 19 | 2023 | 43 | |
| 20 | 2011 | 42 |
About Mario Kahn
Mario Kahn is a scholar working on Epidemiology, Biochemistry, Endocrinology, Diabetes and Metabolism, Surgery and Cell Biology, having authored 43 papers that have together received 3.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Pancreatic function and diabetes (11 papers), Diet, Metabolism, and Disease (8 papers), Adipose Tissue and Metabolism (7 papers), Lipid metabolism and biosynthesis (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Biochemistry (467 citations), Endocrinology, Diabetes and Metabolism (869 citations), Epidemiology (1.4k citations), Physiology (995 citations) and Cell Biology (421 citations). Mario Kahn has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Gerald I. Shulman, Varman T. Samuel, Dongyan Zhang, Sanjay Bhanot, Sara A. Beddow, Michael J. Jurczak, Zhenxiang Liu, Blas A. Guigni, Kitt Falk Petersen and Brett P. Monia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation, Diabetologia, Cell Metabolism and Diabetes.
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.