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
-
- Regulation of Appetite and Obesity 8
-
- Vibrio bacteria research studies 9
- Escherichia coli research studies 6
- Co-authors
- Lawrence ChanDavid D. MooreMikhail G. KoloninRenata PasqualiniWadih ArapYuxiang SunBenny ChangMark Asnicar
- Journals
- Cell Metabolism (6 papers)Diabetes (5 papers)Nature Communications (5 papers)Journal of Biological Chemistry (4 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Pradip Saha
74 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Endocrine and Autonomic Systems 822
- Biochemistry 631
- Aging 133
- Physiology 1.8k
- Epidemiology 1.7k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 14 | |
| 6 | 2018 | 11 | |
| 7 | 2017 | 49 | |
| 8 | 2017 | 29 | |
| 9 | 2016 | 28 | |
| 10 | Asprosin, a Fasting-Induced Glucogenic Protein Hormone Hit paper breakdown → | 2016 | 382 |
| 11 | Prebiotics—Clinical relevance | 2015 | 3 |
| 12 | 2015 | 45 | |
| 13 | TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop Hit paper breakdown → | 2013 | 779 |
| 14 | 2011 | 156 | |
| 15 | 2010 | 52 | |
| 16 | 2009 | 101 | |
| 17 | 2008 | 133 | |
| 18 | 2004 | 91 | |
| 19 | 2002 | 247 | |
| 20 | 1999 | 10 |
About Pradip Saha
Pradip Saha is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Biochemistry, Physiology and Epidemiology, having authored 76 papers that have together received 5.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (29 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Lipid metabolism and biosynthesis (10 papers), Vibrio bacteria research studies (9 papers), Pancreatic function and diabetes (9 papers), Regulation of Appetite and Obesity (8 papers), Cholesterol and Lipid Metabolism (7 papers) and Escherichia coli research studies (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (822 citations), Biochemistry (631 citations), Aging (133 citations), Physiology (1.8k citations) and Epidemiology (1.7k 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, Mikhail G. Kolonin, Renata Pasqualini, Wadih Arap, 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 Scientific Reports.
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.