Kapil Gupta

477 citations
22 papers · 288 indexed · h-index 9
Topics
Cutaneous Melanoma Detection and Management (7 papers)COVID-19 Clinical Research Studies (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American Academy of DermatologyCytokine
Partner nations
IndiaUnited StatesFrance

In The Last Decade

Kapil Gupta

18 papers receiving 273 citations

Peers

Kapil Gupta
Comparison fields: 5 of 57
  • Oncology 208
  • Artificial Intelligence 83
  • Dermatology 53
  • Epidemiology 49
  • Molecular Biology 43
Replace Shunichi Jinnai with:
Shunichi Jinnai Japan
Jennifer DeFazio United States
Laura M Drogowski United States
Lester Cowell Australia
Elise Ng United States
Robert V. Rawson Australia
Filomena Barbato Italy
Emily Reisenbichler United States
Teresa Deinlein Austria
Paweł Pietkiewicz Poland
Kapil Gupta relative to Shunichi Jinnai Japan Shunichi Jinnai's profile →
Citations per field
00.5×10×15×
Shunichi Jinnai · 1×
Citations per year

Countries citing papers authored by Kapil Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapil Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Kapil Gupta. A scholar is included among the top collaborators of Kapil Gupta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kapil Gupta. Kapil Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 0
6 2
7 8
8 1
9 6
10 23
11 2
12 8
13 33
14 31
15 15
16 44
17 20
18 22
19 4
20 53

About Kapil Gupta

Kapil Gupta is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Infectious Diseases, having authored 22 papers that have together received 288 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (7 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Oncology (208 citations), Dermatology (53 citations) and Biophysics (24 citations). Kapil Gupta has collaborated with scholars based in India, United States and France. Frequent co-authors include Raymond L. Barnhill, Randy H. Moss, R. Joe Stanley, William V. Stoecker, Martín C. Mihm, Joseph M. Malters, Garron J. Solomon, A. Neil Crowson, Cynthia M. Magro and Michael J. Walker. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Academy of Dermatology and Cytokine.

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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