Shanu Jain
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Adipose Tissue and Metabolism
-
- Receptor Mechanisms and Signaling
- Pharmacological Receptor Mechanisms and Effects
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)Zhan‐Guo Gao (2 shared papers)Dilip K. Tosh (3 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)Nature Communications (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Biochemical Pharmacology (2 papers)Virology Journal (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Shanu Jain
25 papers receiving 717 citations
Peers
Comparison fields: 5 of 77
- Physiology 281
- Molecular Biology 328
- Endocrine and Autonomic Systems 32
- Infectious Diseases 87
- Physiology 121
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 | 149 | |
| 2 | 2012 | 78 | |
| 3 | 2014 | 58 | |
| 4 | 2019 | 49 | |
| 5 | 2019 | 43 | |
| 6 | 2020 | 40 | |
| 7 | 2020 | 38 | |
| 8 | 2018 | 35 | |
| 9 | 2021 | 35 | |
| 10 | 2014 | 31 | |
| 11 | 2015 | 29 | |
| 12 | 2021 | 25 | |
| 13 | 2017 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2022 | 8 | |
| 20 | 2021 | 7 |
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 727 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), MicroRNA in disease regulation (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Physiology (281 citations), Molecular Biology (328 citations), Endocrine and Autonomic Systems (32 citations), Infectious Diseases (87 citations) and Physiology (121 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, Jaspreet Jain and Anil Sharma. Their work appears in journals such as Diabetes, Nature Communications, Bioorganic & Medicinal Chemistry Letters, Biochemical Pharmacology and Virology Journal.
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.