Subhash C. Jamdar
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis
Papers in
- Biochemistry 23
- Lipid metabolism and biosynthesis 21
- Physiology 21
- Adipose Tissue and Metabolism 15
- Co-authors
- Harold J. Fallon (4 shared papers)Olga Greengard (3 shared papers)Linda J. Osborne (10 shared papers)Wang Fang Cao (7 shared papers)Berend Mets (6 shared papers)Donald W. Landry (2 shared papers)Jaime Díaz (6 shared papers)László Virág (2 shared papers)
- Journals
- Archives of Biochemistry and Biophysics (5 papers)Biochemical Journal (3 papers)Journal of Lipid Research (3 papers)Anesthesia & Analgesia (3 papers)Anesthesiology (2 papers)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Subhash C. Jamdar
49 papers receiving 913 citations
Peers
Comparison fields: 5 of 96
- Biochemistry 308
- Toxicology 84
- Clinical Biochemistry 101
- Physiology 258
- Endocrinology, Diabetes and Metabolism 130
Countries citing papers authored by Subhash C. Jamdar
This map shows the geographic impact of Subhash C. Jamdar'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 Subhash C. Jamdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash C. Jamdar more than expected).
Fields of papers citing papers by Subhash C. Jamdar
This network shows the impact of papers produced by Subhash C. Jamdar. 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 Subhash C. Jamdar. The network helps show where Subhash C. Jamdar may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhash C. Jamdar, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 112 | |
| 2 | 1970 | 80 | |
| 3 | 1973 | 76 | |
| 4 | 1979 | 53 | |
| 5 | 1973 | 48 | |
| 6 | 1978 | 39 | |
| 7 | 1978 | 36 | |
| 8 | 1996 | 32 | |
| 9 | 1976 | 31 | |
| 10 | 1971 | 30 | |
| 11 | 1999 | 29 | |
| 12 | 1981 | 29 | |
| 13 | 1977 | 28 | |
| 14 | 1981 | 27 | |
| 15 | 1995 | 26 | |
| 16 | 1992 | 23 | |
| 17 | 1992 | 22 | |
| 18 | 1996 | 21 | |
| 19 | 1993 | 20 | |
| 20 | 1996 | 17 |
About Subhash C. Jamdar
Subhash C. Jamdar is a scholar working on Biochemistry, Physiology, Toxicology, Pharmacology and Cell Biology, having authored 51 papers that have together received 983 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (21 papers), Adipose Tissue and Metabolism (15 papers), Cannabis and Cannabinoid Research (7 papers), Forensic Toxicology and Drug Analysis (7 papers), Diet, Metabolism, and Disease (6 papers), Muscle metabolism and nutrition (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Biochemistry (308 citations), Toxicology (84 citations), Clinical Biochemistry (101 citations), Physiology (258 citations) and Endocrinology, Diabetes and Metabolism (130 citations). Subhash C. Jamdar has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Harold J. Fallon, Olga Greengard, Linda J. Osborne, Wang Fang Cao, Berend Mets, Donald W. Landry, Jaime Díaz, László Virág, James Henry Woods and Susan K. Seo. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical Journal, Journal of Lipid Research, Anesthesia & Analgesia and Anesthesiology.
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.