Vinodh A. Kumar

1.0k citations
64 papers · 658 indexed · h-index 14

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Advanced MRI Techniques and Applications
    • Advanced Neuroimaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging

Papers in

Vinodh A. Kumar

58 papers receiving 650 citations

Peers

Vinodh A. Kumar
Comparison fields: 5 of 101
  • Genetics 213
  • Radiology, Nuclear Medicine and Imaging 216
  • Neurology 84
  • Neurology 37
  • Pulmonary and Respiratory Medicine 138
Replace Sona Saksena with:
Sona Saksena India
Guiyun Wu United States
Johannes Kuchta Germany
Riccardo Marano Italy
E. Piovan Italy
Na-Young Shin South Korea
E. Paul Lindell United States
Stavros Stivaros United Kingdom
Sagi Harnof Israel
Cynthia T. Chin United States
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Citations per field
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Citations per year

Countries citing papers authored by Vinodh A. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vinodh A. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20240
4 20231
5 20219
6 20201
7
Convalescent Plasma as a Plausible Therapeutic Option for nCOVID-19: A Review
20207
8 202019
9 20183
10 201728
11 201713
12 201625
13 20165
14 201426
15 20137
16 20131
17 20124
18 20127
19 20125
20 201020

About Vinodh A. Kumar

Vinodh A. Kumar is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Health Informatics and Neurology, having authored 64 papers that have together received 658 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (22 papers), Glioma Diagnosis and Treatment (18 papers), Advanced MRI Techniques and Applications (14 papers), Functional Brain Connectivity Studies (10 papers), Neurobiology of Language and Bilingualism (8 papers), Brain Metastases and Treatment (5 papers), Meningioma and schwannoma management (5 papers) and MRI in cancer diagnosis (4 papers). The work is most often cited by research in Genetics (213 citations), Radiology, Nuclear Medicine and Imaging (216 citations), Neurology (84 citations), Neurology (37 citations) and Pulmonary and Respiratory Medicine (138 citations). Vinodh A. Kumar has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Sujit S. Prabhu, Ganesh Rao, Jeffrey S. Weinberg, Donald F. Schomer, Dhiego Chaves de Almeida Bastos, Rivka R. Colen, Lawrence E. Ginsberg, Pascal O. Zinn, Usama Salem and John E. Madewell. Their work appears in journals such as Neurosurgery, American Journal of Neuroradiology, Journal of Computer Assisted Tomography, Magnetic Resonance in Medicine and Cancer Imaging.

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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2026