Shanu Jain

997 total citations
26 papers, 727 citations indexed

About

Shanu Jain is a scholar working on Physiology, Molecular Biology and Physiology. According to data from OpenAlex, Shanu Jain has authored 26 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 12 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Shanu Jain's work include Adenosine and Purinergic Signaling (14 papers), Adipose Tissue and Metabolism (8 papers) and Pancreatic function and diabetes (6 papers). Shanu Jain is often cited by papers focused on Adenosine and Purinergic Signaling (14 papers), Adipose Tissue and Metabolism (8 papers) and Pancreatic function and diabetes (6 papers). Shanu Jain collaborates with scholars based in United States, India and Germany. Shanu Jain's 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 Oksana Gavrilova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Shanu Jain

25 papers receiving 717 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shanu Jain United States 15 328 281 132 121 105 26 727
Julianna D. Zeidler Brazil 15 240 0.7× 85 0.3× 140 1.1× 98 0.8× 25 0.2× 24 671
Íñigo J. Salanueva Spain 7 337 1.0× 49 0.2× 54 0.4× 57 0.5× 103 1.0× 7 932
Ing-Cherng Guo Taiwan 15 246 0.8× 46 0.2× 63 0.5× 95 0.8× 23 0.2× 20 798
Dazhi Zhao United States 16 246 0.8× 46 0.2× 266 2.0× 129 1.1× 35 0.3× 21 873
Héctor Rojas Venezuela 18 479 1.5× 36 0.1× 140 1.1× 83 0.7× 49 0.5× 53 908
Yi-Lin Cheng Taiwan 16 532 1.6× 27 0.1× 174 1.3× 117 1.0× 42 0.4× 18 1.1k
Mariana Silva dos Santos United Kingdom 15 404 1.2× 20 0.1× 92 0.7× 106 0.9× 157 1.5× 27 881
Philip L. Fisette United States 10 186 0.6× 454 1.6× 32 0.2× 56 0.5× 21 0.2× 10 723
Kyun‐Do Kim South Korea 15 337 1.0× 60 0.2× 42 0.3× 50 0.4× 17 0.2× 28 889
Sai P. Pydi United States 23 503 1.5× 54 0.2× 14 0.1× 185 1.5× 162 1.5× 50 1.1k

Countries citing papers authored by Shanu Jain

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shanu Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Shanu Jain. A scholar is included among the top collaborators of Shanu Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shanu Jain. Shanu Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jain, Shanu, Luiz F. Barella, Jürgen Wess, Marc L. Reitman, & Kenneth A. Jacobson. (2021). Adenosine A1 receptor is dispensable for hepatocyte glucose metabolism and insulin sensitivity. Biochemical Pharmacology. 192. 114739–114739. 4 indexed citations
2.
Salmaso, Veronica, Shanu Jain, & Kenneth A. Jacobson. (2021). Purinergic GPCR transmembrane residues involved in ligand recognition and dimerization. Methods in cell biology. 166. 133–159. 1 indexed citations
3.
Jung, Kwan‐Young, et al.. (2021). Structure activity relationship of 3-nitro-2-(trifluoromethyl)-2H-chromene derivatives as P2Y6 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 41. 128008–128008. 13 indexed citations
4.
Oliva, Paola, et al.. (2021). Structure-activity relationships of pyrimidine nucleotides containing a 5′-α,β-methylene diphosphonate at the P2Y6 receptor. Bioorganic & Medicinal Chemistry Letters. 45. 128137–128137. 7 indexed citations
5.
Barella, Luiz F., Mario Rossi, Sai P. Pydi, et al.. (2021). β-Arrestin-1 is required for adaptive β-cell mass expansion during obesity. Nature Communications. 12(1). 3385–3385. 13 indexed citations
6.
Jain, Shanu & Kenneth A. Jacobson. (2021). Purinergic Signaling in Liver Pathophysiology. Frontiers in Endocrinology. 12. 718429–718429. 25 indexed citations
7.
Jain, Shanu, Sai P. Pydi, Kwan‐Young Jung, et al.. (2021). Adipocyte P2Y14 receptors play a key role in regulating whole-body glucose and lipid homeostasis. JCI Insight. 6(10). 19 indexed citations
8.
Jain, Shanu, Sai P. Pydi, Kiran S. Toti, et al.. (2020). Lack of adipocyte purinergic P2Y 6 receptor greatly improves whole body glucose homeostasis. Proceedings of the National Academy of Sciences. 117(48). 30763–30774. 38 indexed citations
9.
Jain, Shanu, Zhoumou Chen, Dilip K. Tosh, et al.. (2020). Design and in vivo activity of A3 adenosine receptor agonist prodrugs. Purinergic Signalling. 16(3). 367–377. 15 indexed citations
10.
Jain, Shanu & Kenneth A. Jacobson. (2020). Purinergic signaling in diabetes and metabolism. Biochemical Pharmacology. 187. 114393–114393. 40 indexed citations
11.
Pydi, Sai P., Shanu Jain, Wesley Tung, et al.. (2019). Adipocyte β-arrestin-2 is essential for maintaining whole body glucose and energy homeostasis. Nature Communications. 10(1). 2936–2936. 43 indexed citations
12.
Jacobson, Kenneth A., Dilip K. Tosh, Shanu Jain, & Zhan‐Guo Gao. (2019). Historical and Current Adenosine Receptor Agonists in Preclinical and Clinical Development. Frontiers in Cellular Neuroscience. 13. 124–124. 149 indexed citations
13.
Jain, Shanu, Dilip K. Tosh, Marc L. Reitman, & Kenneth A. Jacobson. (2019). 280-LB: Role of A1 and A3 Adenosine Receptors in Whole Body Glucose Metabolism. Diabetes. 68(Supplement_1). 1 indexed citations
14.
Rossi, Mario, Lu Zhu, Sara M. McMillin, et al.. (2018). Hepatic Gi signaling regulates whole-body glucose homeostasis. Journal of Clinical Investigation. 128(2). 746–759. 35 indexed citations
15.
Jain, Shanu, et al.. (2015). Dynamic expression of miRNAs across immature and adult stages of the malaria mosquito Anopheles stephensi. Parasites & Vectors. 8(1). 179–179. 29 indexed citations
16.
Jain, Shanu, Jatin Shrinet, T. Adak, Raj K. Bhatnagar, & Sujatha Sunil. (2015). miRNA–mRNA Conflux Regulating Immunity and Oxidative Stress Pathways in the Midgut of Blood-Fed Anopheles stephensi. Non-Coding RNA. 1(3). 222–245. 3 indexed citations
17.
Shrinet, Jatin, Shanu Jain, Jaspreet Jain, Raj K. Bhatnagar, & Sujatha Sunil. (2014). Next Generation Sequencing Reveals Regulation of Distinct Aedes microRNAs during Chikungunya Virus Development. PLoS neglected tropical diseases. 8(1). e2616–e2616. 58 indexed citations
18.
Jain, Shanu, Jatin Shrinet, Anil Sharma, et al.. (2014). Blood Feeding and Plasmodium Infection Alters the miRNome of Anopheles stephensi. PLoS ONE. 9(5). e98402–e98402. 31 indexed citations
19.
Shrinet, Jatin, Shanu Jain, Anil Sharma, et al.. (2012). Genetic characterization of Chikungunya virus from New Delhi reveal emergence of a new molecular signature in Indian isolates. Virology Journal. 9(1). 100–100. 78 indexed citations
20.
SHISHOO, C. J., et al.. (1999). Synthesis of purines and azapurines.

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.

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