M. Vijay Kumar

1.1k citations
25 papers · 918 · h-index 21

Impact in

Papers in

M. Vijay Kumar

24 papers receiving 898 citations

Peers

M. Vijay Kumar
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 193
  • Reproductive Medicine 75
  • Molecular Biology 502
  • Genetics 193
  • Pulmonary and Respiratory Medicine 186
Replace Luisa Salvatori with:
Luisa Salvatori Italy
Carlo M. Veneziale United States
Hisaya Kawate Japan
David J. Zelner United States
Jean-Louis Danan France
L. Demers United States
Silvia Misiti Italy
J.R. Puddefoot United Kingdom
Elena Kleymenova United States
Christopher Terpening United States
M. Vijay Kumar relative to Luisa Salvatori Italy Luisa Salvatori's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Vijay Kumar

Since Specialization
Citations

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

Fields of papers citing papers by M. Vijay Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Vijay Kumar. 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 M. Vijay Kumar. The network helps show where M. Vijay Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Vijay Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Vijay Kumar Line = papers co-authored together M. Vijay Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991129
2 2011120
3 1994106
4 199543
5 199341
6 200638
7 200837
8 199336
9 200636
10 201134
11 200532
12 199431
13 199730
14 199429
15 199426
16 200622
17 201422
18 199422
19
Mifepristone pretreatment overcomes resistance of prostate cancer cells to tumor necrosis factor alpha-related apoptosis-inducing ligand (TRAIL).
200221
20
Differential expression of members of the tumor necrosis factor alpha-related apoptosis-inducing ligand pathway in prostate cancer cells.
200120

About M. Vijay Kumar

M. Vijay Kumar is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 918 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), Hormonal and reproductive studies (6 papers), Sexual Differentiation and Disorders (5 papers), Estrogen and related hormone effects (5 papers), NF-κB Signaling Pathways (5 papers), Prostate Cancer Treatment and Research (4 papers), Ubiquitin and proteasome pathways (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (193 citations), Reproductive Medicine (75 citations), Molecular Biology (502 citations), Genetics (193 citations) and Pulmonary and Respiratory Medicine (186 citations). M. Vijay Kumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Donald J. Tindall, Jonathan Lindzey, Wei He, Ronald W. Lewis, Vijayabaskar Lakshmikanthan, Ismail Kaddour‐Djebbar, Zheng Dong, Guie Dong, D. J. Tindall and Charles Y.F. Young. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Pharmacology and Experimental Therapeutics, Nucleic Acids Research, Molecular Endocrinology and The Prostate.

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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