Kumar Sharma
Impact in
- Nephrology top 0.01%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Acute Kidney Injury Research
- Aging top 0.5%
Papers in
- Nephrology 174
- Chronic Kidney Disease and Diabetes 148
- Renal Diseases and Glomerulopathies 20
- Acute Kidney Injury Research 13
- Dialysis and Renal Disease Management 11
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- TGF-β signaling in diseases 18
- Metabolomics and Mass Spectrometry Studies 14
- Mitochondrial Function and Pathology 13
- Co-authors
- Fuad N. Ziyadeh (26 shared papers)Stephen Dunn (14 shared papers)Anne‐Émilie Declèves (14 shared papers)Peter A. McCue (12 shared papers)Katalin Suszták (7 shared papers)Yanqing Zhu (18 shared papers)Tracy McGowan (12 shared papers)Erwin P. Böttinger (6 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (26 papers)Kidney International (20 papers)Journal of the American Society of Nephrology (18 papers)Diabetes (18 papers)Nephrology Dialysis Transplantation (13 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Kumar Sharma
276 papers receiving 25.5k citations
Kumar Sharma's Hit Papers
Peers
Comparison fields: 5 of 157
- Nephrology 12.9k
- Aging 350
- Geriatrics and Gerontology 648
- Clinical Biochemistry 697
- Endocrinology, Diabetes and Metabolism 2.2k
Countries citing papers authored by Kumar Sharma
This map shows the geographic impact of Kumar Sharma'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 Kumar Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Sharma more than expected).
Fields of papers citing papers by Kumar Sharma
This network shows the impact of papers produced by Kumar Sharma. 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 Kumar Sharma. The network helps show where Kumar Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Sharma, 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 284 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis development Hit paper breakdown → | 2014 | 1283 |
| 2 | Resveratrol Delays Age-Related Deterioration and Mimics Transcriptional Aspects of Dietary Restriction without Extending Life Span Hit paper breakdown → | 2008 | 1020 |
| 3 | Diabetic kidney disease Hit paper breakdown → | 2015 | 918 |
| 4 | Long-term prevention of renal insufficiency, excess matrix gene expression, and glomerular mesangial matrix expansion by treatment with monoclonal antitransforming growth factor-β antibody in db/db diabetic mice Hit paper breakdown → | 2000 | 826 |
| 5 | The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight Hit paper breakdown → | 2019 | 818 |
| 6 | Mouse Models of Diabetic Nephropathy Hit paper breakdown → | 2009 | 735 |
| 7 | Neutralization of TGF-β by Anti-TGF-β Antibody Attenuates Kidney Hypertrophy and the Enhanced Extracellular Matrix Gene Expression in STZ-Induced Diabetic Mice Hit paper breakdown → | 1996 | 611 |
| 8 | Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection Hit paper breakdown → | 2023 | 593 |
| 9 | Stimulation of collagen gene expression and protein synthesis in murine mesangial cells by high glucose is mediated by autocrine activation of transforming growth factor-beta. Hit paper breakdown → | 1994 | 551 |
| 10 | Adiponectin regulates albuminuria and podocyte function in mice Hit paper breakdown → | 2008 | 529 |
| 11 | Hyperglycemia and Diabetic Kidney Disease: The Case for Transforming Growth Factor–β as a Key Mediator Hit paper breakdown → | 1995 | 511 |
| 12 | Metabolomics Reveals Signature of Mitochondrial Dysfunction in Diabetic Kidney Disease Hit paper breakdown → | 2013 | 494 |
| 13 | 2003 | 454 | |
| 14 | 2004 | 438 | |
| 15 | An atlas of healthy and injured cell states and niches in the human kidney Hit paper breakdown → | 2023 | 424 |
| 16 | 2013 | 401 | |
| 17 | 2012 | 342 | |
| 18 | 1992 | 326 | |
| 19 | 2010 | 299 | |
| 20 | 2009 | 289 |
About Kumar Sharma
Kumar Sharma is a scholar working on Nephrology, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 284 papers that have together received 26.2k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (148 papers), Renal Diseases and Glomerulopathies (20 papers), TGF-β signaling in diseases (18 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Acute Kidney Injury Research (13 papers), Mitochondrial Function and Pathology (13 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Dialysis and Renal Disease Management (11 papers). The work is most often cited by research in Nephrology (12.9k citations), Aging (350 citations), Geriatrics and Gerontology (648 citations), Clinical Biochemistry (697 citations) and Endocrinology, Diabetes and Metabolism (2.2k citations). Kumar Sharma has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Fuad N. Ziyadeh, Stephen Dunn, Anne‐Émilie Declèves, Peter A. McCue, Katalin Suszták, Yanqing Zhu, Tracy McGowan, Erwin P. Böttinger, Mark B. Ericksen and Robyn A. Cunard. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Kidney International, Journal of the American Society of Nephrology, Diabetes and Nephrology Dialysis Transplantation.
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.