Kevin B. Leslie
- Immunology top 10%
- Immune Cell Function and Interaction 7
- T-cell and Retrovirus Studies 2
- T-cell and B-cell Immunology 2
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 4
- Immunology and Allergy top 10%
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- Glycosylation and Glycoproteins Research 2
- RNA Interference and Gene Delivery 2
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- Virus-based gene therapy research 3
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- John W. SchraderMelanie J. WelhamJohn A. StolkMasazumi MatsumuraSteven G. ReedRaymond L. HoughtonJiangchun XuXinqun Zhang
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (4 papers)Blood (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Kevin B. Leslie
16 papers receiving 877 citations
Peers
Comparison fields: 5 of 77
- Immunology 335
- Cancer Research 141
- Oncology 236
- Immunology and Allergy 48
- Molecular Biology 494
Countries citing papers authored by Kevin B. Leslie
This map shows the geographic impact of Kevin B. Leslie'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 B. Leslie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin B. Leslie more than expected).
Fields of papers citing papers by Kevin B. Leslie
This network shows the impact of papers produced by Kevin B. Leslie. 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 B. Leslie. The network helps show where Kevin B. Leslie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin B. Leslie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2020 | 29 | |
| 3 | 2005 | 36 | |
| 4 | Identification of differentially expressed genes in human prostate cancer using subtraction and microarray. | 2000 | 283 |
| 5 | 1999 | 48 | |
| 6 | 1997 | 63 | |
| 7 | 1996 | 107 | |
| 8 | 1994 | 127 | |
| 9 | 1994 | 88 | |
| 10 | 1991 | 8 | |
| 11 | 1991 | 29 | |
| 12 | 1991 | 36 | |
| 13 | 1989 | 8 | |
| 14 | 1988 | 7 | |
| 15 | 1987 | 11 | |
| 16 | 1986 | 35 |
About Kevin B. Leslie
Kevin B. Leslie is a scholar working on Immunology, Critical Care and Intensive Care Medicine and Oncology, having authored 16 papers that have together received 919 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Cytokine Signaling Pathways and Interactions (4 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and Retrovirus Studies (2 papers), RNA Interference and Gene Delivery (2 papers), T-cell and B-cell Immunology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (335 citations), Cancer Research (141 citations) and Oncology (236 citations). Kevin B. Leslie has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include John W. Schrader, Melanie J. Welham, John A. Stolk, Masazumi Matsumura, Steven G. Reed, Raymond L. Houghton, Jiangchun Xu, Xinqun Zhang, Thomas S. Vedvick and Roberto Badaró. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.
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.