Kapil Gupta

3.1k citations
39 papers · 1.9k indexed · 1 hit paper · h-index 18
Topics
SARS-CoV-2 and COVID-19 Research (8 papers)Viral Infectious Diseases and Gene Expression in Insects (7 papers)Transgenic Plants and Applications (6 papers)

In The Last Decade

Kapil Gupta

36 papers receiving 1.8k citations

Hit Papers

Altered recognition of antigen is a mechanism of CD8+ T c...20072026201320192007250500750

Peers

Kapil Gupta
Comparison fields: 5 of 122
  • Immunology 819
  • Molecular Biology 741
  • Oncology 400
  • Infectious Diseases 340
  • Epidemiology 121
Replace Leslie J. Holsinger with:
Leslie J. Holsinger United States
Jaume Pons United States
Josephine C. Ferreon United States
Cordelia Schiene‐Fischer Germany
Dana Westphal Germany
Jan van Oostrum Switzerland
Yasmina Abdiche United States
S.C. Almo United States
Xuehua Xu United States
Erik Verschueren United States
Kapil Gupta relative to Leslie J. Holsinger United States Leslie J. Holsinger's profile →
Citations per field
00.5×
Leslie J. Holsinger · 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 1
2 1
3 11
4 28
5 17
6 26
7 3
8 23
9 282
10 54
11 36
12 69
13 3
14 0
15 37
16 60
17 16
18
Altered recognition of antigen is a novel mechanism of CD8+ T cell tolerance in cancer
2
19
Altered recognition of antigen is a mechanism of CD8+ T cell tolerance in cancerbreakdown →
889
20 22

About Kapil Gupta

Kapil Gupta is a scholar working on Biotechnology, Infectious Diseases and Nutrition and Dietetics, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Transgenic Plants and Applications (6 papers). The work is most often cited by research in Immunology (819 citations), Infectious Diseases (340 citations) and Oncology (400 citations). Kapil Gupta has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Jonathan P. Schneck, Dmitry I. Gabrilovich, Simon Sherman, Srinivas Nagaraj, Leo Kinarsky, В. М. Писарев, Loveleen Kang, Donna L. Herber, Imre Berger and Christiane Schaffitzel. Their work appears in journals such as Science, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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