Payal R. Patel
- Clinical Biochemistry top 5%
- Sensory Systems top 5%
- Physiology top 10%
- Adipose Tissue and Metabolism 7
- Rehabilitation top 10%
-
- Receptor Mechanisms and Signaling 7
- Peroxisome Proliferator-Activated Receptors 2
-
- Adipokines, Inflammation, and Metabolic Diseases 6
-
- Neuropeptides and Animal Physiology 3
-
- Drug Transport and Resistance Mechanisms 3
-
- Regulation of Appetite and Obesity 3
-
- Pancreatic function and diabetes 3
- Co-authors
- Jason K. KimDae Young JungSonia M. NajjarNicholas TsitsilianosJung Yeon KwonJong Hun KimGarrett HeinrichXiaodi Hu
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Clinical Oncology (1 paper)Gastroenterology (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Payal R. Patel
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Clinical Biochemistry 121
- Sensory Systems 74
- Physiology 287
- Endocrinology, Diabetes and Metabolism 183
- Rehabilitation 69
Countries citing papers authored by Payal R. Patel
This map shows the geographic impact of Payal R. Patel'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 Payal R. Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payal R. Patel more than expected).
Fields of papers citing papers by Payal R. Patel
This network shows the impact of papers produced by Payal R. Patel. 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 Payal R. Patel. The network helps show where Payal R. Patel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Payal R. Patel, 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 | 2019 | 1 | |
| 2 | 2019 | 20 | |
| 3 | 2018 | 46 | |
| 4 | 2017 | 9 | |
| 5 | 2017 | 9 | |
| 6 | 2016 | 34 | |
| 7 | 2016 | 59 | |
| 8 | 2016 | 117 | |
| 9 | 2016 | 58 | |
| 10 | 2015 | 117 | |
| 11 | 2015 | 4 | |
| 12 | 2014 | 173 | |
| 13 | 2013 | 74 | |
| 14 | 2013 | 28 | |
| 15 | 2013 | 16 | |
| 16 | 2012 | 10 | |
| 17 | 2012 | 7 | |
| 18 | 2011 | 14 | |
| 19 | 2010 | 17 | |
| 20 | 2006 | 148 |
About Payal R. Patel
Payal R. Patel is a scholar working on Endocrine and Autonomic Systems, Sensory Systems and Physiology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Receptor Mechanisms and Signaling (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Neuropeptides and Animal Physiology (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Regulation of Appetite and Obesity (3 papers), Pancreatic function and diabetes (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Clinical Biochemistry (121 citations), Sensory Systems (74 citations) and Physiology (287 citations). Payal R. Patel has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Jason K. Kim, Dae Young Jung, Sonia M. Najjar, Nicholas Tsitsilianos, Jung Yeon Kwon, Jong Hun Kim, Garrett Heinrich, Xiaodi Hu, Thomas A. Bowman and Anthony W. Ferrante. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Gastroenterology.
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.