Kousik Kesh

1.1k total citations
22 papers, 805 citations indexed

About

Kousik Kesh is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Kousik Kesh has authored 22 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in Kousik Kesh's work include Pancreatic and Hepatic Oncology Research (8 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Gut microbiota and health (6 papers). Kousik Kesh is often cited by papers focused on Pancreatic and Hepatic Oncology Research (8 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Gut microbiota and health (6 papers). Kousik Kesh collaborates with scholars based in United States, India and France. Kousik Kesh's co-authors include Sulagna Banerjee, Vineet K. Gupta, Ashok K. Saluja, Nikita Sharma, Vikas Dudeja, Brittany Durden, Vanessa T. Garrido, Santanu Banerjee, Bhuwan Giri and Snehasikta Swarnakar and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Kousik Kesh

21 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kousik Kesh United States 15 471 389 281 190 111 22 805
Nicolas Skrypek France 11 485 1.0× 374 1.0× 173 0.6× 220 1.2× 82 0.7× 13 815
Navneet Momi United States 13 522 1.1× 408 1.0× 191 0.7× 141 0.7× 148 1.3× 19 854
Beatriz Soldevilla Spain 15 523 1.1× 389 1.0× 295 1.0× 200 1.1× 52 0.5× 25 918
Benoît Thibault France 12 409 0.9× 312 0.8× 185 0.7× 160 0.8× 67 0.6× 21 797
Ole Helm Germany 14 360 0.8× 409 1.1× 174 0.6× 334 1.8× 86 0.8× 21 804
He Ren China 16 363 0.8× 313 0.8× 281 1.0× 162 0.9× 39 0.4× 20 726
Wenhao Luo China 13 329 0.7× 332 0.9× 264 0.9× 123 0.6× 85 0.8× 48 780
Rika Tsuchida Japan 12 572 1.2× 310 0.8× 334 1.2× 88 0.5× 58 0.5× 16 902
Hiroaki Kasashima Japan 18 516 1.1× 364 0.9× 271 1.0× 182 1.0× 78 0.7× 42 941
Zhenjia Yu China 12 415 0.9× 362 0.9× 285 1.0× 212 1.1× 90 0.8× 20 896

Countries citing papers authored by Kousik Kesh

Since Specialization
Citations

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

Fields of papers citing papers by Kousik Kesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kousik Kesh

This figure shows the co-authorship network connecting the top 25 collaborators of Kousik Kesh. A scholar is included among the top collaborators of Kousik Kesh 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 Kousik Kesh. Kousik Kesh 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.
2.
Kesh, Kousik, et al.. (2024). Prescription opioids induced microbial dysbiosis worsens severity of chronic pancreatitis and drives pain hypersensitivity. Gut Microbes. 16(1). 2310291–2310291. 6 indexed citations
3.
Kesh, Kousik, et al.. (2022). Opioid Use in Murine Model Results in Severe Gastric Pathology that May Be Attenuated by Proton Pump Inhibition. American Journal Of Pathology. 192(8). 1136–1150. 7 indexed citations
4.
Gupta, Vineet K., Nikita Sharma, Brittany Durden, et al.. (2021). Hypoxia-Driven Oncometabolite L-2HG Maintains Stemness-Differentiation Balance and Facilitates Immune Evasion in Pancreatic Cancer. Cancer Research. 81(15). 4001–4013. 60 indexed citations
5.
Tao, Junyi, et al.. (2021). Chronic pancreatitis in a caerulein-induced mouse model is associated with an altered gut microbiome. Pancreatology. 22(1). 30–42. 9 indexed citations
6.
Kesh, Kousik, Vanessa T. Garrido, Austin R. Dosch, et al.. (2020). Stroma secreted IL6 selects for “stem-like” population and alters pancreatic tumor microenvironment by reprogramming metabolic pathways. Cell Death and Disease. 11(11). 967–967. 29 indexed citations
7.
Kesh, Kousik, et al.. (2020). Type 2 diabetes induced microbiome dysbiosis is associated with therapy resistance in pancreatic adenocarcinoma. Microbial Cell Factories. 19(1). 75–75. 27 indexed citations
8.
Kesh, Kousik, Vineet K. Gupta, Brittany Durden, et al.. (2020). Therapy Resistance, Cancer Stem Cells and ECM in Cancer: The Matrix Reloaded. Cancers. 12(10). 3067–3067. 53 indexed citations
9.
Méndez, Roberto, Kousik Kesh, Nivedita Arora, et al.. (2019). Microbial dysbiosis and polyamine metabolism as predictive markers for early detection of pancreatic cancer. Carcinogenesis. 41(5). 561–570. 87 indexed citations
10.
Sharma, Nikita, Brittany Durden, Vineet K. Gupta, et al.. (2019). Long non-coding RNA GAS5 acts as proliferation “brakes” in CD133+ cells responsible for tumor recurrence. Oncogenesis. 8(12). 68–68. 22 indexed citations
11.
Sharma, Nikita, Vineet K. Gupta, Patricia Dauer, et al.. (2019). O-GlcNAc modification of Sox2 regulates self-renewal in pancreatic cancer by promoting its stability. Theranostics. 9(12). 3410–3424. 50 indexed citations
12.
Subramanian, Lakshmi, Mrityunjay Singh, Kousik Kesh, et al.. (2019). A Common Tag Nucleotide Variant in MMP7 Promoter Increases Risk for Hypertension via Enhanced Interactions With CREB (Cyclic AMP Response Element-Binding Protein) Transcription Factor. Hypertension. 74(6). 1448–1459. 6 indexed citations
13.
Sharma, Nikita, Vineet K. Gupta, Vanessa T. Garrido, et al.. (2019). Targeting tumor-intrinsic hexosamine biosynthesis sensitizes pancreatic cancer to anti-PD1 therapy. Journal of Clinical Investigation. 130(1). 451–465. 162 indexed citations
14.
Gupta, Vineet K., Nikita Sharma, Kousik Kesh, et al.. (2018). Metastasis and chemoresistance in CD133 expressing pancreatic cancer cells are dependent on their lipid raft integrity. Cancer Letters. 439. 101–112. 50 indexed citations
15.
Dauer, Patricia, Xianda Zhao, Vineet K. Gupta, et al.. (2017). Inactivation of Cancer-Associated-Fibroblasts Disrupts Oncogenic Signaling in Pancreatic Cancer Cells and Promotes Its Regression. Cancer Research. 78(5). 1321–1333. 96 indexed citations
16.
Ghosh, Prachetash, et al.. (2017). Attenuation of Helicobacter pylori-induced gastric inflammation by prior cag − strain (AM1) infection in C57BL/6 mice. Gut Pathogens. 9(1). 14–14. 10 indexed citations
17.
Kesh, Kousik, Lakshmi Subramanian, Arnab Gupta, et al.. (2015). Association of MMP7 −181A→G Promoter Polymorphism with Gastric Cancer Risk. Journal of Biological Chemistry. 290(23). 14391–14406. 30 indexed citations
18.
Kesh, Kousik, et al.. (2015). An Overview of Matrix Metalloproteinase 9 Polymorphism and Gastric Cancer Risk. Asian Pacific Journal of Cancer Prevention. 16(17). 7393–7400. 28 indexed citations
19.
20.
Dey, Sanjib, et al.. (2011). Matrix metalloproteinase3 gene promoter polymorphisms and their haplotypes are associated with gastric cancer risk in eastern Indian population. Molecular Carcinogenesis. 51(S1). E42–53. 18 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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