Eric O’Connor
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in ⓘ
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
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- MicroRNA in disease regulation 2
- Co-authors
- Matthias Merkenschlager (5 shared papers)Amanda G. Fisher (5 shared papers)Bradley S. Cobb (4 shared papers)Arnulf Hertweck (4 shared papers)Stephen T. Smale (3 shared papers)Kevan M. Shokat (1 shared paper)Doreen A. Cantrell (1 shared paper)Mikhail Spivakov (1 shared paper)
- Journals
- The Journal of Experimental Medicine (3 papers)The Journal of Cell Biology (1 paper)The Journal of Immunology (1 paper)Immunity (1 paper)Transplantation (1 paper)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Eric O’Connor
11 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Immunology 1.1k
- Cancer Research 655
- Molecular Biology 837
- Transplantation 23
- Oncology 206
Countries citing papers authored by Eric O’Connor
This map shows the geographic impact of Eric 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 Eric 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 Eric O’Connor more than expected).
Fields of papers citing papers by Eric O’Connor
This network shows the impact of papers produced by Eric 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 Eric O’Connor. The network helps show where Eric O’Connor may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric 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 | T cell receptor signaling controls Foxp3 expression via PI3K, Akt, and mTOR Hit paper breakdown → | 2008 | 699 |
| 2 | A role for Dicer in immune regulation Hit paper breakdown → | 2006 | 452 |
| 3 | 2005 | 425 | |
| 4 | 1998 | 152 | |
| 5 | 1999 | 63 | |
| 6 | 2010 | 51 | |
| 7 | 2004 | 36 | |
| 8 | 2006 | 20 | |
| 9 | 1999 | 12 | |
| 10 | 1999 | 2 | |
| 11 | 1975 | 2 |
About Eric O’Connor
Eric O’Connor is a scholar working on Immunology, Cancer Research, Philosophy, Molecular Biology and Developmental and Educational Psychology, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), MicroRNA in disease regulation (2 papers), RNA Interference and Gene Delivery (2 papers), Diabetes and associated disorders (2 papers), Hermeneutics and Narrative Identity (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (655 citations), Molecular Biology (837 citations), Transplantation (23 citations) and Oncology (206 citations). Eric O’Connor has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Matthias Merkenschlager, Amanda G. Fisher, Bradley S. Cobb, Arnulf Hertweck, Stephen T. Smale, Kevan M. Shokat, Doreen A. Cantrell, Mikhail Spivakov, Marion Leleu and Ludovica Bruno. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Cell Biology, The Journal of Immunology, Immunity and Transplantation.
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.