Kevin Gorski
- Immunology top 0.5%
- Oncology top 1%
- Molecular Biology top 10%
- Genetics top 2%
- Physiology top 5%
- Co-authors
- Igor PuzanovDrew M. PardollTahiro ShinHaruo TsuchiyaLisa ChenRobert H.I. AndtbackaJohn P. VasilakosMizuto Otsuji
- Topics
- Immunotherapy and Immune Responses (13 papers)Immune Cell Function and Interaction (9 papers)CAR-T cell therapy research (7 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Kevin Gorski
28 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 2.9k
- Oncology 2.4k
- Molecular Biology 1.0k
- Genetics 1.0k
- Physiology 555
Countries citing papers authored by Kevin Gorski
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
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 of co-authors of Kevin Gorski
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Gorski. A scholar is included among the top collaborators of Kevin Gorski 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 Kevin Gorski. Kevin Gorski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 48 | |
| 4 | 89 | |
| 5 | Oncolytic Virotherapy Promotes Intratumoral T Cell Infiltration and Improves Anti-PD-1 Immunotherapybreakdown → | 1142 |
| 6 | Talimogene Laherparepvec in Combination With Ipilimumab in Previously Untreated, Unresectable Stage IIIB-IV Melanomabreakdown → | 435 |
| 7 | Effects of an Anti-TSLP Antibody on Allergen-Induced Asthmatic Responsesbreakdown → | 587 |
| 8 | 69 | |
| 9 | 34 | |
| 10 | 4 | |
| 11 | 39 | |
| 12 | 24 | |
| 13 | 25 | |
| 14 | 130 | |
| 15 | Synthetic TLR Agonists Reveal Functional Differences between Human TLR7 and TLR8breakdown → | 563 |
| 16 | 132 | |
| 17 | 42 | |
| 18 | 12 | |
| 19 | 189 | |
| 20 | 12 |
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) and CAR-T cell therapy research (7 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.