Sujith Rajan
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
- Metabolism, Diabetes, and Cancer 2
- Epidemiology 12
- Adipokines, Inflammation, and Metabolic Diseases 11
- Co-authors
- Kripa Shankar (19 shared papers)Salil Varshney (19 shared papers)Anil Nilkanth Gaikwad (18 shared papers)Abhishek Gupta (17 shared papers)Durgesh Kumar (17 shared papers)Ankita Srivastava (11 shared papers)Muheeb Beg (11 shared papers)Achchhe Lal Vishwakarma (4 shared papers)
- Journals
- Journal of Lipid Research (3 papers)Molecular and Cellular Endocrinology (3 papers)Metabolism (3 papers)Journal of Endocrinology (2 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Sujith Rajan
30 papers receiving 605 citations
Peers
Comparison fields: 5 of 75
- Biochemistry 58
- Physiology 189
- Geriatrics and Gerontology 18
- Epidemiology 153
- Complementary and alternative medicine 34
Countries citing papers authored by Sujith Rajan
This map shows the geographic impact of Sujith Rajan'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 Sujith Rajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujith Rajan more than expected).
Fields of papers citing papers by Sujith Rajan
This network shows the impact of papers produced by Sujith Rajan. 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 Sujith Rajan. The network helps show where Sujith Rajan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sujith Rajan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 54 | |
| 2 | 2019 | 49 | |
| 3 | 2018 | 38 | |
| 4 | 2016 | 37 | |
| 5 | 2013 | 33 | |
| 6 | 2017 | 30 | |
| 7 | 2014 | 29 | |
| 8 | 2018 | 29 | |
| 9 | 2020 | 28 | |
| 10 | 2018 | 25 | |
| 11 | 2018 | 25 | |
| 12 | 2014 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2016 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2018 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2017 | 14 | |
| 19 | 2017 | 14 | |
| 20 | 2021 | 13 |
About Sujith Rajan
Sujith Rajan is a scholar working on Molecular Biology, Epidemiology, Physiology, Biochemistry and Surgery, having authored 31 papers that have together received 612 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Lipid metabolism and biosynthesis (7 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Medicinal Plants and Neuroprotection (2 papers), Medicinal Plant Research (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Biochemistry (58 citations), Physiology (189 citations), Geriatrics and Gerontology (18 citations), Epidemiology (153 citations) and Complementary and alternative medicine (34 citations). Sujith Rajan has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Kripa Shankar, Salil Varshney, Anil Nilkanth Gaikwad, Abhishek Gupta, Durgesh Kumar, Ankita Srivastava, Muheeb Beg, Achchhe Lal Vishwakarma, M. Mahmood Hussain and Jiaur R. Gayen. Their work appears in journals such as Journal of Lipid Research, Molecular and Cellular Endocrinology, Metabolism, Journal of Endocrinology and Biomedicine & Pharmacotherapy.
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.