Brian Koss
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Oncology top 10%
- CAR-T cell therapy research
- Cancer-related Molecular Pathways
Papers in ⓘ
- Immunology 11
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
- Oncology 11
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 3
- Cancer-related Molecular Pathways 3
- Co-authors
- Joseph T. Opferman (8 shared papers)Madhavi Bathina (4 shared papers)John D. Schuetz (2 shared papers)J.A. Lynch (2 shared papers)Daniel P. Stewart (2 shared papers)Douglas R. Green (2 shared papers)Jerold E. Rehg (2 shared papers)Jamshid Temirov (1 shared paper)
- Journals
- Cancer Research (4 papers)Blood (2 papers)iScience (1 paper)Cell Death Discovery (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Brian Koss
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Immunology 399
- Oncology 449
- Molecular Biology 912
- Hematology 126
- Cancer Research 128
Countries citing papers authored by Brian Koss
This map shows the geographic impact of Brian Koss'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 Brian Koss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Koss more than expected).
Fields of papers citing papers by Brian Koss
This network shows the impact of papers produced by Brian Koss. 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 Brian Koss. The network helps show where Brian Koss may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Koss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 324 | |
| 2 | 2013 | 189 | |
| 3 | 2014 | 126 | |
| 4 | 2012 | 112 | |
| 5 | 2010 | 106 | |
| 6 | 2023 | 98 | |
| 7 | 2013 | 69 | |
| 8 | 2017 | 60 | |
| 9 | 2019 | 52 | |
| 10 | 2019 | 42 | |
| 11 | 2013 | 38 | |
| 12 | 2020 | 25 | |
| 13 | 2016 | 23 | |
| 14 | 2020 | 21 | |
| 15 | 2019 | 11 | |
| 16 | 2019 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Brian Koss
Brian Koss is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Microbiology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Epigenetics and DNA Methylation (5 papers), Cell death mechanisms and regulation (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Protein Degradation and Inhibitors (3 papers), CAR-T cell therapy research (3 papers), Cancer-related Molecular Pathways (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (399 citations), Oncology (449 citations), Molecular Biology (912 citations), Hematology (126 citations) and Cancer Research (128 citations). Brian Koss has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Joseph T. Opferman, Madhavi Bathina, John D. Schuetz, J.A. Lynch, Daniel P. Stewart, Douglas R. Green, Jerold E. Rehg, Jamshid Temirov, Megan M. Cleland and Richard J. Youle. Their work appears in journals such as Cancer Research, Blood, iScience, Cell Death Discovery and Scientific Reports.
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.