William O’Gorman
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 16
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 4
- Co-authors
- Garry P. NolanAbul K. AbbasHans DoomsWilson KuswantoAlexandre AkoulitchevBenjamin ThomasAndré FurgerChikara Takahashi
- Journals
- The Journal of Immunology (4 papers)Immunity (2 papers)Journal of Visualized Experiments (2 papers)Journal of Allergy and Clinical Immunology (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
William O’Gorman
29 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 807
- Oncology 411
- Cancer Research 171
- Biophysics 58
- Molecular Biology 638
Countries citing papers authored by William O’Gorman
This map shows the geographic impact of William O’Gorman'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 William O’Gorman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William O’Gorman more than expected).
Fields of papers citing papers by William O’Gorman
This network shows the impact of papers produced by William O’Gorman. 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 William O’Gorman. The network helps show where William O’Gorman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William O’Gorman, 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 | 2024 | 5 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 3 | |
| 4 | Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8+ T cell responses Hit paper breakdown → | 2022 | 215 |
| 5 | 2021 | 4 | |
| 6 | 2019 | 52 | |
| 7 | 2019 | 56 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 6 | |
| 10 | 2017 | 46 | |
| 11 | 2015 | 59 | |
| 12 | 2014 | 33 | |
| 13 | 2011 | 19 | |
| 14 | 2010 | 24 | |
| 15 | 2010 | 139 | |
| 16 | 2010 | 55 | |
| 17 | 2009 | 115 | |
| 18 | 2008 | 25 | |
| 19 | 2005 | 27 | |
| 20 | 2002 | 205 |
About William O’Gorman
William O’Gorman is a scholar working on Immunology, Biophysics, Virology, Molecular Biology and Cancer Research, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (10 papers), Single-cell and spatial transcriptomics (6 papers), Immunotherapy and Immune Responses (5 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), Immune Response and Inflammation (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Immunology (807 citations), Oncology (411 citations), Cancer Research (171 citations), Biophysics (58 citations) and Molecular Biology (638 citations). William O’Gorman has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Garry P. Nolan, Abul K. Abbas, Hans Dooms, Wilson Kuswanto, Alexandre Akoulitchev, Benjamin Thomas, André Furger, Chikara Takahashi, Amelia Au‐Yeung and Steve H. Thorne. Their work appears in journals such as The Journal of Immunology, Immunity, Journal of Visualized Experiments, Journal of Allergy and Clinical Immunology and Vaccine.
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.