Shalini Sethumadhavan

3.2k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Shalini Sethumadhavan is a scholar working on Immunology, Organic Chemistry and Physiology. According to data from OpenAlex, Shalini Sethumadhavan has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Organic Chemistry and 3 papers in Physiology. Recurrent topics in Shalini Sethumadhavan's work include Adenosine and Purinergic Signaling (3 papers), Synthesis and biological activity (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Shalini Sethumadhavan is often cited by papers focused on Adenosine and Purinergic Signaling (3 papers), Synthesis and biological activity (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Shalini Sethumadhavan collaborates with scholars based in United States, Egypt and Australia. Shalini Sethumadhavan's co-authors include Phaethon Philbrook, Michail V. Sitkovsky, Stephen Hatfield, Akio Ohta, Robert Abbott, Eckhard R. Podack, Barry L. Karger, Bryan Belikoff, Dmitriy Lukashev and Scott J. Rodig and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Shalini Sethumadhavan

10 papers receiving 1.1k citations

Hit Papers

Immunological mechanisms of the antitumor effects of supp... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Shalini Sethumadhavan
Elodie Viry Luxembourg
Robert D. Leone United States
Albert S.W. Sohn United States
Chushu Li China
Fang Lou China
Lu Qi China
Elodie Viry Luxembourg
Shalini Sethumadhavan
Citations per year, relative to Shalini Sethumadhavan Shalini Sethumadhavan (= 1×) peers Elodie Viry

Countries citing papers authored by Shalini Sethumadhavan

Since Specialization
Citations

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

Fields of papers citing papers by Shalini Sethumadhavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalini Sethumadhavan

This figure shows the co-authorship network connecting the top 25 collaborators of Shalini Sethumadhavan. A scholar is included among the top collaborators of Shalini Sethumadhavan 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 Shalini Sethumadhavan. Shalini Sethumadhavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Best, Sarah A., Patrick M. Gubser, Shalini Sethumadhavan, et al.. (2022). Glutaminase inhibition impairs CD8 T cell activation in STK11-/Lkb1-deficient lung cancer. Cell Metabolism. 34(6). 874–887.e6. 115 indexed citations
2.
Zhu, Eric, Daniël Blom, Shalini Sethumadhavan, et al.. (2020). 683 A novel mechanism of neuropilin-1 inhibition results in improved tumor growth inhibition in vivo. SHILAP Revista de lepidopterología. A410.1–A410. 1 indexed citations
3.
Abbott, Robert, Murillo Silva, Derek W. Cain, et al.. (2017). The GS Protein-coupled A2a Adenosine Receptor Controls T Cell Help in the Germinal Center. Journal of Biological Chemistry. 292(4). 1211–1217. 25 indexed citations
4.
Sethumadhavan, Shalini, Murillo Silva, Phaethon Philbrook, et al.. (2017). Hypoxia and hypoxia-inducible factor (HIF) downregulate antigen-presenting MHC class I molecules limiting tumor cell recognition by T cells. PLoS ONE. 12(11). e0187314–e0187314. 91 indexed citations
5.
Abbott, Robert, Murillo Silva, Phaethon Philbrook, et al.. (2016). Germinal Center Hypoxia Potentiates Immunoglobulin Class Switch Recombination. The Journal of Immunology. 197(10). 4014–4020. 88 indexed citations
6.
Hatfield, Stephen, Jørgen Kjaergäard, Dmitriy Lukashev, et al.. (2015). Immunological mechanisms of the antitumor effects of supplemental oxygenation. Science Translational Medicine. 7(277). 277ra30–277ra30. 473 indexed citations breakdown →
7.
Hatfield, Stephen, Jørgen Kjaergäard, Dmitriy Lukashev, et al.. (2014). Systemic oxygenation weakens the hypoxia and hypoxia inducible factor 1α-dependent and extracellular adenosine-mediated tumor protection. Journal of Molecular Medicine. 92(12). 1283–1292. 165 indexed citations
8.
Nofal, Z. M., Somaia S. Abd El‐Karim, Magdy I. El‐Zahar, et al.. (2014). Synthesis of Some New Benzimidazole–Thiazole Derivatives as Anticancer Agents. Journal of Heterocyclic Chemistry. 51(6). 1797–1806. 23 indexed citations
9.
Nofal, Z. M., Somaia S. Abd El‐Karim, Magdy I. El‐Zahar, et al.. (2011). Novel benzimidazole derivatives as expected anticancer agents.. PubMed. 68(4). 519–34. 49 indexed citations
10.
Abdelhafez, Omaima M., Kamelia M. Amin, Rasha Z. Batran, et al.. (2010). Synthesis, anticoagulant and PIVKA-II induced by new 4-hydroxycoumarin derivatives. Bioorganic & Medicinal Chemistry. 18(10). 3371–3378. 128 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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