Kevin Gorski

6.3k citations
29 papers · 4.9k indexed · 5 hit papers · h-index 21
  • Immunology top 0.5%
    • Immunotherapy and Immune Responses 13
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 6
    • Immune Response and Inflammation 4
  • Oncology top 1%
    • CAR-T cell therapy research 7
    • Cancer Immunotherapy and Biomarkers 4
  • Genetics top 2%
    • Virus-based gene therapy research 6
    • RNA Interference and Gene Delivery 3

Kevin Gorski

28 papers receiving 4.8k citations

Hit Papers

Oncolytic Virotherapy Promotes...1.1k20012026200920172505007501000

Peers

Kevin Gorski
Comparison fields: 5 of 91
  • Immunology 2.9k
  • Oncology 2.4k
  • Immunology and Allergy 276
  • Genetics 1.0k
  • Biotechnology 219
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P L Amlot United Kingdom
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Citations per field
00.5×4.7×
P L Amlot · 1×
Citations per year

Countries citing papers authored by Kevin Gorski

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Gorski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20250
3 202148
4 202189
5
Oncolytic Virotherapy Promotes Intratumoral T Cell Infiltration and Improves Anti-PD-1 Immunotherapybreakdown →
20171142
6
Talimogene Laherparepvec in Combination With Ipilimumab in Previously Untreated, Unresectable Stage IIIB-IV Melanomabreakdown →
2016435
7
Effects of an Anti-TSLP Antibody on Allergen-Induced Asthmatic Responsesbreakdown →
2014587
8 201469
9 201334
10 20104
11 201039
12 200924
13 200825
14 2006130
15
Synthetic TLR Agonists Reveal Functional Differences between Human TLR7 and TLR8breakdown →
2005563
16 2003132
17 200342
18 200312
19 2002189
20 200112

About Kevin Gorski

Kevin Gorski is a scholar working on Immunology, Oncology and Immunology and Allergy, having authored 29 papers that have together received 4.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (7 papers), Virus-based gene therapy research (6 papers), T-cell and B-cell Immunology (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Response and Inflammation (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Immunology (2.9k citations), Oncology (2.4k citations) and Immunology and Allergy (276 citations). Kevin Gorski has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Igor Puzanov, Drew M. Pardoll, Tahiro Shin, Haruo Tsuchiya, Lisa Chen, Robert H.I. Andtbacka, John P. Vasilakos, Mizuto Otsuji, Mark A. Tomai and Keith Gorden. Their work appears in journals such as New England Journal of Medicine, Cell and Journal of Biological Chemistry.

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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