Robert O’Neill
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Microbiology top 5%
- Bacterial Infections and Vaccines
Papers in
-
- Bacterial Infections and Vaccines 8
-
- Influenza Virus Research Studies 3
- Virology and Viral Diseases 1
- Pneumonia and Respiratory Infections 1
- Co-authors
- Weisan Chen (1 shared paper)Jack R. Bennink (1 shared paper)Ulrich S. Schubert (1 shared paper)Peter Henklein (1 shared paper)Peter Palese (1 shared paper)Sameh Basta (1 shared paper)Paul A. Calvo (1 shared paper)Jonathan Wilson Yewdell (1 shared paper)
- Journals
- Vaccine (2 papers)The Lancet Infectious Diseases (2 papers)The Pediatric Infectious Disease Journal (2 papers)Nature Medicine (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Robert O’Neill
11 papers receiving 1.0k citations
Robert O’Neill's Hit Papers
Peers
Comparison fields: 5 of 61
- Epidemiology 851
- Microbiology 119
- Immunology 368
- Agronomy and Crop Science 161
- Infectious Diseases 235
Countries citing papers authored by Robert O’Neill
This map shows the geographic impact of Robert O’Neill'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 Robert O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert O’Neill more than expected).
Fields of papers citing papers by Robert O’Neill
This network shows the impact of papers produced by Robert O’Neill. 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 Robert O’Neill. The network helps show where Robert O’Neill may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert O’Neill, 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 | A novel influenza A virus mitochondrial protein that induces cell death Hit paper breakdown → | 2001 | 840 |
| 2 | 2006 | 107 | |
| 3 | 2017 | 57 | |
| 4 | 2016 | 37 | |
| 5 | 2023 | 13 | |
| 6 | 2021 | 8 | |
| 7 | 2022 | 8 | |
| 8 | 2020 | 4 | |
| 9 | 2005 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 |
About Robert O’Neill
Robert O’Neill is a scholar working on Microbiology, Epidemiology, Statistics and Probability, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (8 papers), Influenza Virus Research Studies (3 papers), Statistical Methods in Clinical Trials (1 paper), interferon and immune responses (1 paper), Immune Response and Inflammation (1 paper), Virology and Viral Diseases (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Epidemiology (851 citations), Microbiology (119 citations), Immunology (368 citations), Agronomy and Crop Science (161 citations) and Infectious Diseases (235 citations). Robert O’Neill has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Weisan Chen, Jack R. Bennink, Ulrich S. Schubert, Peter Henklein, Peter Palese, Sameh Basta, Paul A. Calvo, Jonathan Wilson Yewdell, Igor Bačík and Jeanne H. Schickli. Their work appears in journals such as Vaccine, The Lancet Infectious Diseases, The Pediatric Infectious Disease Journal, Nature Medicine and New England Journal of Medicine.
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.