Shaun O’Brien
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
- Oncology top 1%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 21
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 10
- Immune cells in cancer 5
- T-cell and B-cell Immunology 5
- Oncology 25
- Cancer Immunotherapy and Biomarkers 16
- CAR-T cell therapy research 8
- Co-authors
- Steven Μ. AlbeldaKheng NewickEdmund K. MoonDonald M. McDonaldBarbara SenninoMichael R. MancusoRachel DavisScott M. Norberg
- Journals
- Cancer Research (5 papers)Journal of Clinical Oncology (4 papers)Cancer Immunology Research (3 papers)Immunity (2 papers)OncoImmunology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Shaun O’Brien
42 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 2.1k
- Oncology 2.6k
- Cancer Research 513
- Molecular Biology 1.5k
- Pulmonary and Respiratory Medicine 630
Countries citing papers authored by Shaun O’Brien
This map shows the geographic impact of Shaun O’Brien'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 Shaun O’Brien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun O’Brien more than expected).
Fields of papers citing papers by Shaun O’Brien
This network shows the impact of papers produced by Shaun O’Brien. 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 Shaun O’Brien. The network helps show where Shaun O’Brien may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaun O’Brien, 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 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 7 | |
| 5 | 2021 | 3 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 183 | |
| 8 | 2019 | 67 | |
| 9 | 2018 | 183 | |
| 10 | 2016 | 160 | |
| 11 | 2016 | 334 | |
| 12 | 2015 | 131 | |
| 13 | 2015 | 96 | |
| 14 | 2012 | 170 | |
| 15 | 2011 | 2 | |
| 16 | 2010 | 29 | |
| 17 | 2009 | 2 | |
| 18 | 2009 | 464 | |
| 19 | 2008 | 201 | |
| 20 | 1998 | 44 |
About Shaun O’Brien
Shaun O’Brien is a scholar working on Immunology, Oncology, Neuropsychology and Physiological Psychology, Immunology and Allergy and Behavioral Neuroscience, having authored 44 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (8 papers), Immune cells in cancer (5 papers), T-cell and B-cell Immunology (5 papers), Angiogenesis and VEGF in Cancer (4 papers) and Orthopedic Infections and Treatments (3 papers). The work is most often cited by research in Immunology (2.1k citations), Oncology (2.6k citations), Cancer Research (513 citations), Molecular Biology (1.5k citations) and Pulmonary and Respiratory Medicine (630 citations). Shaun O’Brien has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven Μ. Albelda, Kheng Newick, Edmund K. Moon, Donald M. McDonald, Barbara Sennino, Michael R. Mancuso, Rachel Davis, Scott M. Norberg, Evgeniy Eruslanov and Sunil Singhal. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Cancer Immunology Research, Immunity and OncoImmunology.
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.