Varun Pathak

962 total citations
26 papers, 709 citations indexed

About

Varun Pathak is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Varun Pathak has authored 26 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Varun Pathak's work include Diabetes Treatment and Management (10 papers), Pancreatic function and diabetes (10 papers) and Neuropeptides and Animal Physiology (5 papers). Varun Pathak is often cited by papers focused on Diabetes Treatment and Management (10 papers), Pancreatic function and diabetes (10 papers) and Neuropeptides and Animal Physiology (5 papers). Varun Pathak collaborates with scholars based in United Kingdom, Italy and Jordan. Varun Pathak's co-authors include Peter R. Flatt, Nigel Irwin, Victor A. Gault, Reinhold J. Medina, Jasenka Guduric‐Fuchs, Ciarán O’Neill, Vadivel Parthsarathy, Edoardo Pedrini, Alan W. Stitt and Maurice O’Kane and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Diabetes and Diabetologia.

In The Last Decade

Varun Pathak

25 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Varun Pathak United Kingdom 16 340 275 249 140 129 26 709
Akemi Hara Japan 13 332 1.0× 562 2.0× 424 1.7× 45 0.3× 149 1.2× 26 1.2k
Hiromi Yokota‐Hashimoto Japan 16 189 0.6× 386 1.4× 384 1.5× 38 0.3× 230 1.8× 24 885
Yoshiaki Katsuda Japan 12 130 0.4× 110 0.4× 155 0.6× 27 0.2× 149 1.2× 22 546
Lesya Novikova United States 16 186 0.5× 198 0.7× 213 0.9× 99 0.7× 147 1.1× 34 675
Howard L. Foyt United States 15 418 1.2× 401 1.5× 367 1.5× 43 0.3× 172 1.3× 21 983
Laurianne Giovannoni Switzerland 16 420 1.2× 644 2.3× 251 1.0× 31 0.2× 257 2.0× 26 1.1k
Hiroki Yajima Japan 14 132 0.4× 325 1.2× 236 0.9× 61 0.4× 131 1.0× 24 661
I. Moroo Japan 9 88 0.3× 103 0.4× 259 1.0× 145 1.0× 126 1.0× 20 623
Yeon Taek Jeong South Korea 8 120 0.4× 369 1.3× 270 1.1× 22 0.2× 168 1.3× 11 992

Countries citing papers authored by Varun Pathak

Since Specialization
Citations

This map shows the geographic impact of Varun Pathak'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 Varun Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Pathak more than expected).

Fields of papers citing papers by Varun Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Varun Pathak. 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 Varun Pathak. The network helps show where Varun Pathak may publish in the future.

Co-authorship network of co-authors of Varun Pathak

This figure shows the co-authorship network connecting the top 25 collaborators of Varun Pathak. A scholar is included among the top collaborators of Varun Pathak 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 Varun Pathak. Varun Pathak 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.
Feng, Jie, Varun Pathak, Niall M. Byrne, et al.. (2025). Atovaquone-induced activation of the PERK/eIF2α signaling axis mitigates metabolic radiosensitisation. Cell Communication and Signaling. 23(1). 164–164. 2 indexed citations
2.
Chambers, Sarah, Jasenka Guduric‐Fuchs, Edoardo Pedrini, et al.. (2025). Human endothelial colony forming cells (ECFCs) require endothelial protein C receptor (EPCR) for cell cycle progression and angiogenic activity. Angiogenesis. 28(3). 30–30.
3.
Pathak, Varun, Edoardo Pedrini, Elisa Peixoto, et al.. (2024). Modulation of diabetes-related retinal pathophysiology by PTX3. Proceedings of the National Academy of Sciences. 121(41). e2320034121–e2320034121. 3 indexed citations
4.
Guduric‐Fuchs, Jasenka, Edoardo Pedrini, Varun Pathak, et al.. (2024). A new gene signature for endothelial senescence identifies self‐RNA sensing by retinoic acid‐inducible gene I as a molecular facilitator of vascular aging. Aging Cell. 23(9). e14240–e14240. 7 indexed citations
5.
Mishra, Deepakkumar, Shilpkala Gade, Varun Pathak, et al.. (2023). Ocular application of electrospun materials for drug delivery and cellular therapies. Drug Discovery Today. 28(9). 103676–103676. 19 indexed citations
6.
Feng, Jie, et al.. (2023). Modulating tumour metabolism enhances gold nanoparticle radiosensitisation in HPV-negative head and neck cancer. Cancer Nanotechnology. 14(1). 8 indexed citations
7.
Stravalaci, Matteo, Mariantonia Ferrara, Varun Pathak, et al.. (2022). The Long Pentraxin PTX3 as a New Biomarker and Pharmacological Target in Age-Related Macular Degeneration and Diabetic Retinopathy. Frontiers in Pharmacology. 12. 811344–811344. 16 indexed citations
8.
Guduric‐Fuchs, Jasenka, Edoardo Pedrini, Judith Lechner, et al.. (2021). miR-130a activates the VEGFR2/STAT3/HIF1α axis to potentiate the vasoregenerative capacity of endothelial colony-forming cells in hypoxia. Molecular Therapy — Nucleic Acids. 23. 968–981. 11 indexed citations
9.
Chambers, Sarah, Varun Pathak, Edoardo Pedrini, et al.. (2021). Current Concepts on Endothelial Stem Cells Definition, Location, and Markers. Stem Cells Translational Medicine. 10(S2). S54–S61. 43 indexed citations
10.
Pathak, Varun, et al.. (2019). Therapies for Type 1 Diabetes: Current Scenario and Future Perspectives. Clinical Medicine Insights Endocrinology and Diabetes. 12. 3076507561–3076507561. 91 indexed citations
11.
Pathak, Varun, et al.. (2018). Novel dual incretin agonist peptide with antidiabetic and neuroprotective potential. Biochemical Pharmacology. 155. 264–274. 34 indexed citations
12.
Pathak, Varun, Peter R. Flatt, & Nigel Irwin. (2018). Cholecystokinin (CCK) and related adjunct peptide therapies for the treatment of obesity and type 2 diabetes. Peptides. 100. 229–235. 57 indexed citations
13.
Pathak, Varun, et al.. (2017). Beneficial metabolic effects of dietary epigallocatechin gallate alone and in combination with exendin-4 in high fat diabetic mice. Molecular and Cellular Endocrinology. 460. 200–208. 18 indexed citations
14.
15.
Pathak, Varun, Srividya Vasu, Victor A. Gault, Peter R. Flatt, & Nigel Irwin. (2015). Sequential induction of beta cell rest and stimulation using stable GIP inhibitor and GLP-1 mimetic peptides improves metabolic control in C57BL/KsJ db/db mice. Diabetologia. 58(9). 2144–2153. 35 indexed citations
16.
17.
Pathak, Varun, R. Charlotte Moffett, Anthony J. Bjourson, et al.. (2015). Beneficial metabolic actions of a stable GIP agonist following pre-treatment with a SGLT2 inhibitor in high fat fed diabetic mice. Molecular and Cellular Endocrinology. 420. 37–45. 21 indexed citations
18.
19.
Parthsarathy, Vadivel, et al.. (2014). Characterisation of the biological activity of xenin-25 degradation fragment peptides. Journal of Endocrinology. 221(2). 193–200. 27 indexed citations
20.
Pathak, Varun, Victor A. Gault, Peter R. Flatt, & Nigel Irwin. (2014). Antagonism of gastric inhibitory polypeptide (GIP) by palmitoylation of GIP analogues with N- and C-terminal modifications improves obesity and metabolic control in high fat fed mice. Molecular and Cellular Endocrinology. 401. 120–129. 42 indexed citations

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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