Jay J. Kuo
Impact in
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- Regulation of Appetite and Obesity
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
Papers in
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- Biochemical Analysis and Sensing Techniques 9
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- Regulation of Appetite and Obesity 9
- Co-authors
- John E. Hall (13 shared papers)Alexandre A. da Silva (9 shared papers)Lakshmi S. Tallam (7 shared papers)Jiankang Liu (4 shared papers)Jeffrey R. Henegar (1 shared paper)Terry Dwyer (1 shared paper)Rogério Baumgratz de Paula (1 shared paper)Drew A. Hildebrandt (1 shared paper)
- Journals
- Hypertension (8 papers)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (1 paper)Science Translational Medicine (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Jay J. Kuo
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Endocrine and Autonomic Systems 526
- Nephrology 220
- Nutrition and Dietetics 382
- Physiology 400
- Endocrinology, Diabetes and Metabolism 240
Countries citing papers authored by Jay J. Kuo
This map shows the geographic impact of Jay J. Kuo'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 Jay J. Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay J. Kuo more than expected).
Fields of papers citing papers by Jay J. Kuo
This network shows the impact of papers produced by Jay J. Kuo. 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 Jay J. Kuo. The network helps show where Jay J. Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay J. Kuo, 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 | 2002 | 232 | |
| 2 | 2004 | 185 | |
| 3 | 2003 | 136 | |
| 4 | 2000 | 102 | |
| 5 | 2021 | 94 | |
| 6 | 2004 | 91 | |
| 7 | 2003 | 89 | |
| 8 | 2001 | 88 | |
| 9 | 2003 | 80 | |
| 10 | 2004 | 58 | |
| 11 | 2022 | 52 | |
| 12 | 2004 | 36 | |
| 13 | 2011 | 34 | |
| 14 | 2005 | 24 | |
| 15 | 2004 | 15 | |
| 16 | 2003 | 15 | |
| 17 | 2025 | 3 | |
| 18 | 2015 | 1 |
About Jay J. Kuo
Jay J. Kuo is a scholar working on Nutrition and Dietetics, Endocrine and Autonomic Systems, Physiology, Molecular Biology and Nephrology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (9 papers), Regulation of Appetite and Obesity (9 papers), Dietary Effects on Health (5 papers), Birth, Development, and Health (2 papers), Renal Diseases and Glomerulopathies (2 papers), Diet and metabolism studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (526 citations), Nephrology (220 citations), Nutrition and Dietetics (382 citations), Physiology (400 citations) and Endocrinology, Diabetes and Metabolism (240 citations). Jay J. Kuo has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include John E. Hall, Alexandre A. da Silva, Lakshmi S. Tallam, Jiankang Liu, Jeffrey R. Henegar, Terry Dwyer, Rogério Baumgratz de Paula, Drew A. Hildebrandt, Sharyn M. Fitzgerald and M BRANDS. Their work appears in journals such as Hypertension, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Science Translational Medicine, Journal of Pharmacology and Experimental Therapeutics and Nature Communications.
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.