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 15
- Adenosine and Purinergic Signaling 15
- Adipose Tissue and Metabolism 8
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- Receptor Mechanisms and Signaling 5
- Pharmacological Receptor Mechanisms and Effects 3
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Kenneth A. Jacobson (16 shared papers)Zhan‐Guo Gao (3 shared papers)Dilip K. Tosh (4 shared papers)Raj K. Bhatnagar (5 shared papers)Sujatha Sunil (5 shared papers)Jatin Shrinet (4 shared papers)Sai P. Pydi (7 shared papers)Jürgen Wess (7 shared papers)
- Journals
- Diabetes (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Biochemical Pharmacology (2 papers)Nature Communications (2 papers)Frontiers in Endocrinology (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Shanu Jain
26 papers receiving 770 citations
Peers
Comparison fields: 5 of 78
- Physiology 307
- Public Health, Environmental and Occupational Health 130
- Physiology 118
- Molecular Biology 325
- Endocrine and Autonomic Systems 29
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2012 | 83 | |
| 3 | 2014 | 62 | |
| 4 | 2019 | 51 | |
| 5 | 2019 | 43 | |
| 6 | 2020 | 42 | |
| 7 | 2020 | 39 | |
| 8 | 2021 | 38 | |
| 9 | 2018 | 36 | |
| 10 | 2014 | 32 | |
| 11 | 2015 | 30 | |
| 12 | 2021 | 27 | |
| 13 | 2021 | 21 | |
| 14 | 2017 | 20 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2020 | 12 | |
| 20 | 2022 | 9 |
About Shanu Jain
Shanu Jain is a scholar working on Physiology, Molecular Biology, Physiology, Surgery and Organic Chemistry, having authored 27 papers that have together received 780 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (15 papers), Adipose Tissue and Metabolism (8 papers), Pancreatic function and diabetes (6 papers), Receptor Mechanisms and Signaling (5 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Treatment and Management (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Physiology (307 citations), Public Health, Environmental and Occupational Health (130 citations), Physiology (118 citations), Molecular Biology (325 citations) and Endocrine and Autonomic Systems (29 citations). Shanu Jain has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Kenneth A. Jacobson, Zhan‐Guo Gao, Dilip K. Tosh, Raj K. Bhatnagar, Sujatha Sunil, Jatin Shrinet, Sai P. Pydi, Jürgen Wess, Luiz F. Barella and Oksana Gavrilova. Their work appears in journals such as Diabetes, Bioorganic & Medicinal Chemistry Letters, Biochemical Pharmacology, Nature Communications and Frontiers in Endocrinology.
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.