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
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 2
- Reproductive System and Pregnancy 1
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- MicroRNA in disease regulation 2
- Co-authors
- Matthias Merkenschlager (5 shared papers)Amanda G. Fisher (5 shared papers)Arnulf Hertweck (4 shared papers)Bradley S. Cobb (4 shared papers)Stephen T. Smale (3 shared papers)Zachary A. Knight (1 shared paper)Stephan Sauer (1 shared paper)David K. Finlay (1 shared paper)
- Journals
- The Journal of Experimental Medicine (3 papers)The Journal of Immunology (1 paper)Journal of Immunological Methods (1 paper)Transplantation (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Eric O’Connor
11 papers receiving 1.9k citations
Eric O’Connor's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 1.1k
- Cancer Research 623
- Molecular Biology 807
- Transplantation 21
- Oncology 202
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 | 729 |
| 2 | 2006 | 459 | |
| 3 | 2005 | 436 | |
| 4 | 1998 | 158 | |
| 5 | 1999 | 63 | |
| 6 | 2010 | 51 | |
| 7 | 2004 | 36 | |
| 8 | 2006 | 20 | |
| 9 | 1999 | 13 | |
| 10 | 1975 | 3 | |
| 11 | 1999 | 2 | |
| 12 | 2024 | 0 |
About Eric O’Connor
Eric O’Connor is a scholar working on Immunology, Cancer Research, Molecular Biology, Genetics and Education, having authored 12 papers that have together received 2.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), MicroRNA in disease regulation (2 papers), Diabetes and associated disorders (2 papers), Immunotherapy and Immune Responses (2 papers), RNA Interference and Gene Delivery (2 papers), Reproductive System and Pregnancy (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (623 citations), Molecular Biology (807 citations), Transplantation (21 citations) and Oncology (202 citations). Eric O’Connor has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Matthias Merkenschlager, Amanda G. Fisher, Arnulf Hertweck, Bradley S. Cobb, Stephen T. Smale, Zachary A. Knight, Stephan Sauer, David K. Finlay, Doreen Ann Cantrell and Mikhail Spivakov. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology, Journal of Immunological Methods, Transplantation and PLoS ONE.
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.