John D. O’Neil
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 3
- Fungal and yeast genetics research 2
- Congenital heart defects research 2
- Oncology 8
- Viral-associated cancers and disorders 6
- Co-authors
- Lawrence S. Young (8 shared papers)William O. Dawson (6 shared papers)Andrew R. Clark (9 shared papers)John R. Arrand (5 shared papers)Thomas J. Owen (3 shared papers)Kathryn Date (3 shared papers)Robert Valentine (2 shared papers)Wenbin Wei (3 shared papers)
- Journals
- PLoS ONE (2 papers)Oncogene (2 papers)The Journal of Immunology (2 papers)Molecular Cancer (2 papers)Journal of General Virology (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
John D. O’Neil
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Oncology 470
- Cancer Research 224
- Immunology 310
- Pathology and Forensic Medicine 148
- Molecular Biology 611
Countries citing papers authored by John D. O’Neil
This map shows the geographic impact of John D. O’Neil'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 John D. O’Neil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. O’Neil more than expected).
Fields of papers citing papers by John D. O’Neil
This network shows the impact of papers produced by John D. O’Neil. 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 John D. O’Neil. The network helps show where John D. O’Neil may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. O’Neil, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 296 | |
| 2 | 2008 | 108 | |
| 3 | 2007 | 106 | |
| 4 | 2009 | 85 | |
| 5 | 2004 | 83 | |
| 6 | 2015 | 66 | |
| 7 | 2016 | 63 | |
| 8 | 2017 | 62 | |
| 9 | 2017 | 57 | |
| 10 | 2017 | 51 | |
| 11 | 2017 | 46 | |
| 12 | 2017 | 41 | |
| 13 | 2012 | 40 | |
| 14 | 1995 | 39 | |
| 15 | 2013 | 33 | |
| 16 | 1999 | 33 | |
| 17 | 2008 | 32 | |
| 18 | 2021 | 25 | |
| 19 | 2016 | 25 | |
| 20 | 2002 | 23 |
About John D. O’Neil
John D. O’Neil is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (6 papers), Lymphoma Diagnosis and Treatment (4 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (3 papers), Fungal and yeast genetics research (2 papers), Congenital heart defects research (2 papers), Insect and Pesticide Research (2 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Oncology (470 citations), Cancer Research (224 citations), Immunology (310 citations), Pathology and Forensic Medicine (148 citations) and Molecular Biology (611 citations). John D. O’Neil has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Lawrence S. Young, William O. Dawson, Andrew R. Clark, John R. Arrand, Thomas J. Owen, Kathryn Date, Robert Valentine, Wenbin Wei, Victoria Wood and Chunfang Hu. Their work appears in journals such as PLoS ONE, Oncogene, The Journal of Immunology, Molecular Cancer and Journal of General Virology.
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.