Roddy S. O’Connor
- Oncology top 0.5%
- CAR-T cell therapy research 37
- Immunology top 1%
- Immune Cell Function and Interaction 18
- T-cell and B-cell Immunology 7
- Immune cells in cancer 4
- Genetics top 2%
- Virus-based gene therapy research 11
- Biomedical Engineering top 2%
- Molecular Biology top 5%
- Viral Infectious Diseases and Gene Expression in Insects 13
- Muscle Physiology and Disorders 3
-
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Michael C. MiloneCarl H. JuneOmkar U. KawalekarSaba GhassemiNathaniel W. SnyderGrace K. PavlathJohn SchollerJoseph A. Fraietta
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- United StatesIranUnited Kingdom
In The Last Decade
Roddy S. O’Connor
54 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Oncology 3.7k
- Immunology 2.4k
- Genetics 887
- Biomedical Engineering 1.4k
- Molecular Biology 2.1k
Countries citing papers authored by Roddy S. O’Connor
This map shows the geographic impact of Roddy S. O’Connor'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 Roddy S. O’Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roddy S. O’Connor more than expected).
Fields of papers citing papers by Roddy S. O’Connor
This network shows the impact of papers produced by Roddy S. O’Connor. 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 Roddy S. O’Connor. The network helps show where Roddy S. O’Connor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roddy S. O’Connor, 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 | 6 | |
| 2 | 2023 | 15 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2021 | 21 | |
| 7 | CAR-T cell-mediated depletion of immunosuppressive tumor-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapybreakdown → | 2021 | 243 |
| 8 | 2021 | 54 | |
| 9 | 2020 | 67 | |
| 10 | 2020 | 100 | |
| 11 | 2020 | 52 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 76 | |
| 14 | 2018 | 212 | |
| 15 | 2018 | 126 | |
| 16 | 2017 | 24 | |
| 17 | Distinct Signaling of Coreceptors Regulates Specific Metabolism Pathways and Impacts Memory Development in CAR T Cellsbreakdown → | 2016 | 887 |
| 18 | 2012 | 1 | |
| 19 | 2011 | 50 | |
| 20 | 2005 | 85 |
About Roddy S. O’Connor
Roddy S. O’Connor is a scholar working on Oncology, Immunology and Biological Psychiatry, having authored 54 papers that have together received 5.8k indexed citations. Recurring topics across this work include CAR-T cell therapy research (37 papers), Immune Cell Function and Interaction (18 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers), Virus-based gene therapy research (11 papers), T-cell and B-cell Immunology (7 papers), Immune cells in cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Oncology (3.7k citations), Immunology (2.4k citations) and Genetics (887 citations). Roddy S. O’Connor has collaborated with scholars based in United States, Iran and United Kingdom. Frequent co-authors include Michael C. Milone, Carl H. June, Omkar U. Kawalekar, Saba Ghassemi, Nathaniel W. Snyder, Grace K. Pavlath, John Scholler, Joseph A. Fraietta, Prachi Patel and Ian A. Blair. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.