Kevin K. Kumar

806 citations
27 papers · 566 · h-index 15

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Kevin K. Kumar

23 papers receiving 563 citations

Peers

Kevin K. Kumar
Comparison fields: 5 of 81
  • Neurology 80
  • Developmental Neuroscience 32
  • Neurology 95
  • Cellular and Molecular Neuroscience 117
  • Health, Toxicology and Mutagenesis 71
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G M Szpak Poland
Ying‐shan Piao China
June‐Hee Park South Korea
Gabriela G. Cezar United States
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Citations per year

Countries citing papers authored by Kevin K. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Kevin K. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kevin K. 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 Kevin K. Kumar Line = papers co-authored together Kevin K. Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202277
2 201461
3 201454
4 201940
5 201440
6 201239
7 201934
8 201631
9 201229
10 201528
11 201925
12 200621
13 201019
14 202018
15 202015
16 20229
17 20128
18 20225
19 20215
20 20183

About Kevin K. Kumar

Kevin K. Kumar is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Clinical Psychology, having authored 27 papers that have together received 566 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Genetic Neurodegenerative Diseases (3 papers), Heavy Metal Exposure and Toxicity (3 papers), DNA Repair Mechanisms (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Trace Elements in Health (2 papers), Nuclear Receptors and Signaling (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Neurology (80 citations), Developmental Neuroscience (32 citations), Neurology (95 citations), Cellular and Molecular Neuroscience (117 citations) and Health, Toxicology and Mutagenesis (71 citations). Kevin K. Kumar has collaborated with scholars based in United States, Germany and Malaysia. Frequent co-authors include Aaron B. Bowman, Asad A. Aboud, M. Diana Neely, Michael Aschner, Andrew M. Tidball, Kevin C. Ess, Casey H. Halpern, Jameel Iqbal, Sherman C. Stein and Keith M. Erikson. Their work appears in journals such as NeuroToxicology, Journal of Neurology Neurosurgery & Psychiatry, Operative Neurosurgery, PLoS ONE and Human Molecular Genetics.

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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