P. Pavan Kumar

588 citations
8 papers · 489 · h-index 8

Impact in

    • Genomics and Chromatin Dynamics
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • HIV Research and Treatment 2
    • Virus-based gene therapy research 2
    • Animal Genetics and Reproduction 1

P. Pavan Kumar

8 papers receiving 487 citations

Peers

P. Pavan Kumar
Comparison fields: 5 of 48
  • Molecular Biology 350
  • Immunology 99
  • Virology 13
  • Genetics 74
  • Cancer Research 35
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Nicole L. Regna United States
JaeHun Cheong South Korea
Netha Ulahannan United States
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Martine Chevillard-Briet France
Vandana Desai-Yajnik United States
Judith Pirngruber Germany
Cristen B. Chafin United States
Barbara A. Scholz Germany
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Citations per field
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Citations per year

Countries citing papers authored by P. Pavan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by P. Pavan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside P. Pavan 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 P. Pavan Kumar Line = papers co-authored together P. Pavan Kumar links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006149
2 2007140
3 200570
4 200858
5 200833
6 201114
7 200713
8 201012

About P. Pavan Kumar

P. Pavan Kumar is a scholar working on Virology, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Immunology, having authored 8 papers that have together received 489 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (3 papers), Cancer-related gene regulation (3 papers), HIV Research and Treatment (2 papers), RNA and protein synthesis mechanisms (2 papers), Virus-based gene therapy research (2 papers), Animal Genetics and Reproduction (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Molecular Biology (350 citations), Immunology (99 citations), Virology (13 citations), Genetics (74 citations) and Cancer Research (35 citations). P. Pavan Kumar has collaborated with scholars based in India and United States. Frequent co-authors include Sanjeev Galande, Prabhat Kumar Purbey, Dimple Notani, Amita S. Limaye, Chandan Kumar‐Sinha, Ranveer Singh Jayani, Debashis Mitra, Sunita Singh, Sameet S. Mehta and Krishna N. Ganesh. Their work appears in journals such as Molecular and Cellular Biology, Nucleic Acids Research, Current Opinion in Genetics & Development, Molecular Cell and Journal of Virology.

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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