Madhukumar Venkatesh

2.6k total citations · 2 hit papers
16 papers, 2.1k citations indexed

About

Madhukumar Venkatesh is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Madhukumar Venkatesh has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Pharmacology. Recurrent topics in Madhukumar Venkatesh's work include Pharmacogenetics and Drug Metabolism (5 papers), Hormonal Regulation and Hypertension (4 papers) and Estrogen and related hormone effects (3 papers). Madhukumar Venkatesh is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Hormonal Regulation and Hypertension (4 papers) and Estrogen and related hormone effects (3 papers). Madhukumar Venkatesh collaborates with scholars based in United States, India and United Kingdom. Madhukumar Venkatesh's co-authors include Sridhar Mani, Matthew R. Redinbo, Hongwei Wang, Jillian Orans, Bret D. Wallace, Ja Seol Koo, Li-An Yeh, J. E. Scott, Christian Jobin and Subhajit Mukherjee and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Madhukumar Venkatesh

16 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Alleviating Cancer Drug Toxicity by Inhibiting a Bacterial Enzyme

2010 811 citations Bret D. Wallace, Hongwei Wang et al. Science profile →
Symbiotic Bacterial Metabolites Regulate Gastrointestinal Barrier Function via the Xenobiotic Sensor PXR and Toll-like Receptor 4

2014 781 citations Madhukumar Venkatesh, Subhajit Mukherjee et al. Immunity profile →

Peers

Madhukumar Venkatesh

PHARM

ONCOL

PHYSI

GENET

Feifei Guo China

Jillian Orans United States

Michele Biagioli Italy

Fengjie Huang China

Xiang Zhang Hong Kong

Shubha Priyamvada United States

Christoph Dorn Germany

Bret D. Wallace United States

Genta Kakiyama United States

Adriana Carino Italy

Feifei Guo China

Madhukumar Venkatesh

1.5k ×1.1

365 ×0.8

PHARM

300 ×0.7

ONCOL

280 ×0.8

PHYSI

127 ×0.4

GENET

Citations per year, relative to Madhukumar Venkatesh Madhukumar Venkatesh (= 1×) peers Feifei Guo

Countries citing papers authored by Madhukumar Venkatesh

Since Specialization

Citations

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

Fields of papers citing papers by Madhukumar Venkatesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhukumar Venkatesh

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

All Works

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16 of 16 papers shown

Arakeri, Gururaj, et al.. (2020). Are carcinogens electron acceptors? A novel hypothesis. Medical Hypotheses. 144. 110235–110235. 1 indexed citations

Ekins, Sean, Nicolin Bloch, Sridhar Mani, et al.. (2020). Novel Yeast-based Strategy Unveils Antagonist Binding Regions on the Nuclear Xenobiotic Receptor PXR. UNC Libraries. 1 indexed citations

Qiu, Zhijuan, Jorge Cervantes, Subhajit Mukherjee, et al.. (2016). Pregnane X Receptor Regulates Pathogen-Induced Inflammation and Host Defense against an Intracellular Bacterial Infection through Toll-like Receptor 4. Scientific Reports. 6(1). 31936–31936. 37 indexed citations

Venkatesh, Madhukumar, Subhajit Mukherjee, Hongwei Wang, et al.. (2014). Symbiotic Bacterial Metabolites Regulate Gastrointestinal Barrier Function via the Xenobiotic Sensor PXR and Toll-like Receptor 4. Immunity. 41(2). 296–310. 781 indexed citations breakdown →

Mukherjee, Subhajit, Madhukumar Venkatesh, Hongwei Wang, et al.. (2014). Sa1774 Regulation of Intestinal Mucosal Barrier Function by Specific Microbial Metabolites. Gastroenterology. 146(5). S–293. 1 indexed citations

Venkatesh, Madhukumar, et al.. (2013). Synergistically acting PLA2: Peptide hemorrhagic complex from Daboia russelii venom. Toxicon. 73. 111–120. 13 indexed citations

Li, Hao, Matthew R. Redinbo, Madhukumar Venkatesh, et al.. (2013). Novel Yeast-based Strategy Unveils Antagonist Binding Regions on the Nuclear Xenobiotic Receptor PXR. Journal of Biological Chemistry. 288(19). 13655–13668. 29 indexed citations

Venkatesh, Madhukumar, et al.. (2013). Purification, Characterization, and Chemical Modification of Neurotoxic Peptide from Daboia russelii Snake Venom of India. Journal of Biochemical and Molecular Toxicology. 27(6). 295–304. 13 indexed citations

Dou, Wei, Subhajit Mukherjee, Hao Li, et al.. (2012). Alleviation of Gut Inflammation by Cdx2/Pxr Pathway in a Mouse Model of Chemical Colitis. PLoS ONE. 7(7). e36075–e36075. 79 indexed citations

10.

Wang, Hongwei, Madhukumar Venkatesh, Hao Li, et al.. (2011). Pregnane X receptor activation induces FGF19-dependent tumor aggressiveness in humans and mice. Journal of Clinical Investigation. 121(8). 3220–3232. 115 indexed citations

11.

Venkatesh, Madhukumar, Hongwei Wang, Dany Salvail, et al.. (2011). In Vivo and In Vitro Characterization of a First-in-Class Novel Azole Analog That Targets Pregnane X Receptor Activation. Molecular Pharmacology. 80(1). 124–135. 44 indexed citations

12.

Wallace, Bret D., Hongwei Wang, J. E. Scott, et al.. (2010). Alleviating Cancer Drug Toxicity by Inhibiting a Bacterial Enzyme. Science. 330(6005). 831–835. 811 indexed citations breakdown →

13.

Kortagere, Sandhya, Matthew D. Krasowski, Erica J. Reschly, et al.. (2010). Evaluation of Computational Docking to Identify Pregnane X Receptor Agonists in the ToxCast Database. Environmental Health Perspectives. 118(10). 1412–1417. 29 indexed citations

14.

Gupta, Divya, Madhukumar Venkatesh, Sean Kim, et al.. (2008). Expanding the Roles for Pregnane X Receptor in Cancer: Proliferation and Drug Resistance in Ovarian Cancer. Clinical Cancer Research. 14(17). 5332–5340. 90 indexed citations

15.

Wang, Hongwei, Hao Li, Linda B. Moore, et al.. (2007). The Phytoestrogen Coumestrol Is a Naturally Occurring Antagonist of the Human Pregnane X Receptor. Molecular Endocrinology. 22(4). 838–857. 92 indexed citations

16.

Dimmock, Jonathan R., Gordon A. Zello, Sarvesh C. Vashishtha, et al.. (2003). A toxicological evaluation of 2-dimethylaminomethyl-1-phenyl-2-propen-1-one hydrochloride.. PubMed. 58(2). 136–9. 2 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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