Kevin C. Conlon
- Immunology top 1%
- Oncology top 2%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Thomas A. WaldmannMiloš D. MiljkovićSigrid DuboisWalter J. UrbaRonald G. SteisDan L. LongoJeffrey W. ClarkJohn E. Janik
- Topics
- Immune Cell Function and Interaction (25 papers)T-cell and Retrovirus Studies (20 papers)CAR-T cell therapy research (17 papers)
- Cited by
- ImmunologyOncologyGastroenterology
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Kevin C. Conlon
55 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 1.5k
- Oncology 1.2k
- Molecular Biology 362
- Pulmonary and Respiratory Medicine 226
- Pathology and Forensic Medicine 208
Countries citing papers authored by Kevin C. Conlon
This map shows the geographic impact of Kevin C. Conlon'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 C. Conlon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin C. Conlon more than expected).
Fields of papers citing papers by Kevin C. Conlon
This network shows the impact of papers produced by Kevin C. Conlon. 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 C. Conlon. The network helps show where Kevin C. Conlon may publish in the future.
Co-authorship network of co-authors of Kevin C. Conlon
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin C. Conlon. A scholar is included among the top collaborators of Kevin C. Conlon 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 C. Conlon. Kevin C. Conlon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 95 | |
| 8 | Mogamulizumab versus investigator’s choice of chemotherapy regimen in relapsed/refractory adult T-cell leukemia/lymphoma | 5 |
| 9 | Cytokines in the Treatment of Cancerbreakdown → | 362 |
| 10 | 38 | |
| 11 | 48 | |
| 12 | 61 | |
| 13 | 30 | |
| 14 | 58 | |
| 15 | 19 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | 38 | |
| 19 | 34 | |
| 20 | 222 |
About Kevin C. Conlon
Kevin C. Conlon is a scholar working on Immunology, Oncology and Ecology, Evolution, Behavior and Systematics, having authored 58 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (25 papers), T-cell and Retrovirus Studies (20 papers) and CAR-T cell therapy research (17 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.2k citations) and Gastroenterology (128 citations). Kevin C. Conlon has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Thomas A. Waldmann, Miloš D. Miljković, Sigrid Dubois, Walter J. Urba, Ronald G. Steis, Dan L. Longo, Jeffrey W. Clark, John E. Janik, James M. Woodruff and Bonita R. Bryant. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.