Pradip Saha
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Regulation of Appetite and Obesity
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
Papers in
- Physiology 29
- Adipose Tissue and Metabolism 27
- Co-authors
- Lawrence Chan (14 shared papers)Lawrence Chan (18 shared papers)David D. Moore (12 shared papers)Renata Pasqualini (2 shared papers)Wadih Arap (2 shared papers)Mikhail G. Kolonin (2 shared papers)Yuxiang Sun (2 shared papers)Benny Chang (3 shared papers)
- Journals
- Cell Metabolism (6 papers)Diabetes (5 papers)Nature Communications (5 papers)Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Pradip Saha
74 papers receiving 5.5k citations
Pradip Saha's Hit Papers
Peers
Comparison fields: 5 of 133
- Endocrine and Autonomic Systems 779
- Biochemistry 581
- Aging 132
- Physiology 1.6k
- Epidemiology 1.5k
Countries citing papers authored by Pradip Saha
This map shows the geographic impact of Pradip Saha'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 Pradip Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradip Saha more than expected).
Fields of papers citing papers by Pradip Saha
This network shows the impact of papers produced by Pradip Saha. 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 Pradip Saha. The network helps show where Pradip Saha may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradip Saha, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop Hit paper breakdown → | 2013 | 788 |
| 2 | 2004 | 466 | |
| 3 | Asprosin, a Fasting-Induced Glucogenic Protein Hormone Hit paper breakdown → | 2016 | 396 |
| 4 | 2006 | 292 | |
| 5 | 2002 | 246 | |
| 6 | 2009 | 215 | |
| 7 | 2017 | 181 | |
| 8 | 2013 | 176 | |
| 9 | 2011 | 157 | |
| 10 | 2008 | 148 | |
| 11 | 2012 | 136 | |
| 12 | 2008 | 134 | |
| 13 | 2005 | 133 | |
| 14 | 2007 | 123 | |
| 15 | 2009 | 111 | |
| 16 | 2010 | 103 | |
| 17 | 2009 | 101 | |
| 18 | 2010 | 93 | |
| 19 | 2004 | 91 | |
| 20 | 2010 | 77 |
About Pradip Saha
Pradip Saha is a scholar working on Physiology, Molecular Biology, Epidemiology, Surgery and Endocrine and Autonomic Systems, having authored 76 papers that have together received 5.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Vibrio bacteria research studies (9 papers), Lipid metabolism and biosynthesis (9 papers), Regulation of Appetite and Obesity (8 papers), Pancreatic function and diabetes (8 papers), Escherichia coli research studies (6 papers) and Cholesterol and Lipid Metabolism (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (779 citations), Biochemistry (581 citations), Aging (132 citations), Physiology (1.6k citations) and Epidemiology (1.5k citations). Pradip Saha has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Lawrence Chan, Lawrence Chan, David D. Moore, Renata Pasqualini, Wadih Arap, Mikhail G. Kolonin, Yuxiang Sun, Benny Chang, Mark Asnicar and Roy G. Smith. Their work appears in journals such as Cell Metabolism, Diabetes, Nature Communications, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.
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.