Kavitha Gowrishankar

1.8k citations
36 papers · 1.4k · h-index 20

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Virology top 5%

Papers in

    • Melanoma and MAPK Pathways 8
    • Viral Infectious Diseases and Gene Expression in Insects 6
    • Ubiquitin and proteasome pathways 3
    • Protein Degradation and Inhibitors 3
    • CAR-T cell therapy research 16
    • Cancer Immunotherapy and Biomarkers 4

Kavitha Gowrishankar

36 papers receiving 1.4k citations

Peers

Kavitha Gowrishankar
Comparison fields: 5 of 78
  • Oncology 608
  • Virology 77
  • Immunology 309
  • Molecular Biology 770
  • Hematology 82
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Citations per field
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Citations per year

Countries citing papers authored by Kavitha Gowrishankar

Since Specialization
Citations

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

Fields of papers citing papers by Kavitha Gowrishankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015195
2 2021151
3 201494
4 199889
5 201274
6 201574
7 201471
8 201070
9 201566
10 201364
11 201356
12 201454
13 201046
14 201245
15 201243
16 200434
17 200733
18 201832
19 200328
20 202321

About Kavitha Gowrishankar

Kavitha Gowrishankar is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Epidemiology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (16 papers), Melanoma and MAPK Pathways (8 papers), Virus-based gene therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Oncology (608 citations), Virology (77 citations), Immunology (309 citations), Molecular Biology (770 citations) and Hematology (82 citations). Kavitha Gowrishankar has collaborated with scholars based in Australia, United States and Brazil. Frequent co-authors include Helen Rizos, Peter Hersey, Stuart Gallagher, Jessamy Tiffen, Dilini Gunatilake, Gulietta M. Pupo, Richard Kefford, Therese M. Becker, Stephanie Snoyman and Kenneth Micklethwaite. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Virology, Cancer Research, Oncotarget and Molecular Therapy — Methods & Clinical Development.

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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