Sanjay Bhanot
Impact in
-
- Diet, Metabolism, and Disease
- Biochemistry top 0.2%
- Lipid metabolism and biosynthesis
Papers in
- Biochemistry 15
- Lipid metabolism and biosynthesis 11
-
- Diet, Metabolism, and Disease 19
- Co-authors
- Brett P. MoniaRobert A. McKayJohn H. McNeillGerald I. ShulmanVarman T. SamuelXing YuSanjay K. PandeyLynnetta M. Watts
- Journals
- Diabetes (10 papers)Nucleic Acid Therapeutics (6 papers)Journal of Clinical Investigation (5 papers)Journal of Biological Chemistry (5 papers)Hepatology (5 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sanjay Bhanot
108 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Endocrinology, Diabetes and Metabolism 2.7k
- Biochemistry 1.0k
- Cancer Research 1.9k
- Physiology 2.7k
- Epidemiology 3.5k
Countries citing papers authored by Sanjay Bhanot
This map shows the geographic impact of Sanjay Bhanot'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 Sanjay Bhanot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Bhanot more than expected).
Fields of papers citing papers by Sanjay Bhanot
This network shows the impact of papers produced by Sanjay Bhanot. 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 Sanjay Bhanot. The network helps show where Sanjay Bhanot may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjay Bhanot, 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 | 2024 | 4 | |
| 2 | 2022 | 11 | |
| 3 | 2021 | 36 | |
| 4 | 2021 | 8 | |
| 5 | 2019 | 42 | |
| 6 | 2017 | 53 | |
| 7 | 2017 | 18 | |
| 8 | 2017 | 100 | |
| 9 | 2014 | 37 | |
| 10 | 2014 | 84 | |
| 11 | 2013 | 18 | |
| 12 | 2013 | 25 | |
| 13 | 2007 | 393 | |
| 14 | Inhibiting triglyceride synthesis improves hepatic steatosis but exacerbates liver damage and fibrosis in obese mice with nonalcoholic steatohepatitis Hit paper breakdown → | 2007 | 805 |
| 15 | 2007 | 312 | |
| 16 | 2005 | 43 | |
| 17 | 2004 | 280 | |
| 18 | 2004 | 273 | |
| 19 | 1997 | 36 | |
| 20 | A novel adenosine receptor subtype from the shark rectal gland activates CFTR chloride channels in Xenopus laevis oocytes | 1996 | 2 |
About Sanjay Bhanot
Sanjay Bhanot is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology and Geriatrics and Gerontology, having authored 109 papers that have together received 11.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (23 papers), Adipose Tissue and Metabolism (20 papers), Liver Disease Diagnosis and Treatment (19 papers), Diet, Metabolism, and Disease (19 papers), Pancreatic function and diabetes (18 papers), Lipid metabolism and biosynthesis (11 papers), Vanadium and Halogenation Chemistry (9 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.7k citations), Biochemistry (1.0k citations), Cancer Research (1.9k citations), Physiology (2.7k citations) and Epidemiology (3.5k citations). Sanjay Bhanot has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Brett P. Monia, Robert A. McKay, John H. McNeill, Gerald I. Shulman, Varman T. Samuel, Xing Yu, Sanjay K. Pandey, Lynnetta M. Watts, Subodh Verma and Sheri Booten. Their work appears in journals such as Diabetes, Nucleic Acid Therapeutics, Journal of Clinical Investigation, Journal of Biological Chemistry and Hepatology.
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.