David O’Neill
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- vaccines and immunoinformatics approaches 3
- Immunology 14
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 6
- Co-authors
- Nina Bhardwaj (15 shared papers)Sylvia Adams (8 shared papers)Anna C. Pavlick (6 shared papers)Arthur Bank (9 shared papers)Iman Osman (3 shared papers)Richard L. Shapiro (3 shared papers)Rocío López (4 shared papers)Russell S. Berman (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Gene (3 papers)Blood (2 papers)Stem Cells and Development (2 papers)Annals of the New York Academy of Sciences (2 papers)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
David O’Neill
42 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 107
- Immunology 1.0k
- Oncology 575
- Genetics 158
- Virology 61
- Molecular Biology 839
Countries citing papers authored by David O’Neill
This map shows the geographic impact of David 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 David 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 David O’Neill more than expected).
Fields of papers citing papers by David O’Neill
This network shows the impact of papers produced by David 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 David O’Neill. The network helps show where David O’Neill may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 290 | |
| 2 | 2004 | 254 | |
| 3 | 2007 | 243 | |
| 4 | 2000 | 145 | |
| 5 | 2005 | 102 | |
| 6 | Expression of the cancer/testis antigen NY-ESO-1 in primary and metastatic malignant melanoma (MM)--correlation with prognostic factors. | 2007 | 97 |
| 7 | 2002 | 84 | |
| 8 | 2007 | 84 | |
| 9 | 1999 | 77 | |
| 10 | 2013 | 67 | |
| 11 | 2009 | 67 | |
| 12 | 2019 | 47 | |
| 13 | 2008 | 46 | |
| 14 | 2005 | 33 | |
| 15 | 2007 | 29 | |
| 16 | 2004 | 28 | |
| 17 | 2021 | 21 | |
| 18 | 2015 | 20 | |
| 19 | 2008 | 19 | |
| 20 | 2004 | 18 |
About David O’Neill
David O’Neill is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Ecology, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Mesenchymal stem cell research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Immunology (1.0k citations), Oncology (575 citations), Genetics (158 citations), Virology (61 citations) and Molecular Biology (839 citations). David O’Neill has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Nina Bhardwaj, Sylvia Adams, Anna C. Pavlick, Arthur Bank, Iman Osman, Richard L. Shapiro, Rocío López, Russell S. Berman, Dusan Bogunovic and Stefano Lonardi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Gene, Blood, Stem Cells and Development and Annals of the New York 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.