Shanu Jain
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Adipose Tissue and Metabolism
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- Mosquito-borne diseases and control
Papers in
- Physiology 14
- Adenosine and Purinergic Signaling 14
- Adipose Tissue and Metabolism 8
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- Receptor Mechanisms and Signaling 4
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Kenneth A. Jacobson (15 shared papers)Dilip K. Tosh (3 shared papers)Zhan‐Guo Gao (2 shared papers)Sujatha Sunil (5 shared papers)Raj K. Bhatnagar (5 shared papers)Sai P. Pydi (7 shared papers)Jatin Shrinet (4 shared papers)Jürgen Wess (7 shared papers)
- Journals
- Nature Communications (2 papers)Biochemical Pharmacology (2 papers)Diabetes (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Shanu Jain
25 papers receiving 741 citations
Peers
Comparison fields: 5 of 77
- Physiology 286
- Physiology 117
- Public Health, Environmental and Occupational Health 127
- Endocrine and Autonomic Systems 29
- Molecular Biology 307
Countries citing papers authored by Shanu Jain
This map shows the geographic impact of Shanu Jain'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 Shanu Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanu Jain more than expected).
Fields of papers citing papers by Shanu Jain
This network shows the impact of papers produced by Shanu Jain. 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 Shanu Jain. The network helps show where Shanu Jain may publish in the future.
Co-authors
The 25 scholars most cited alongside Shanu Jain, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 151 | |
| 2 | 2012 | 81 | |
| 3 | 2014 | 58 | |
| 4 | 2019 | 51 | |
| 5 | 2019 | 43 | |
| 6 | 2020 | 42 | |
| 7 | 2020 | 39 | |
| 8 | 2021 | 38 | |
| 9 | 2018 | 36 | |
| 10 | 2015 | 30 | |
| 11 | 2014 | 30 | |
| 12 | 2021 | 27 | |
| 13 | 2017 | 20 | |
| 14 | 2021 | 20 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2020 | 12 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 8 |
About Shanu Jain
Shanu Jain is a scholar working on Physiology, Molecular Biology, Physiology, Surgery and Organic Chemistry, having authored 26 papers that have together received 751 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (14 papers), Adipose Tissue and Metabolism (8 papers), Pancreatic function and diabetes (6 papers), Receptor Mechanisms and Signaling (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Treatment and Management (2 papers), Cannabis and Cannabinoid Research (2 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Physiology (286 citations), Physiology (117 citations), Public Health, Environmental and Occupational Health (127 citations), Endocrine and Autonomic Systems (29 citations) and Molecular Biology (307 citations). Shanu Jain has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Kenneth A. Jacobson, Dilip K. Tosh, Zhan‐Guo Gao, Sujatha Sunil, Raj K. Bhatnagar, Sai P. Pydi, Jatin Shrinet, Jürgen Wess, Luiz F. Barella and Anil Sharma. Their work appears in journals such as Nature Communications, Biochemical Pharmacology, Diabetes, Bioorganic & Medicinal Chemistry Letters and Journal of Medicinal Chemistry.
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.