John P. O’Rourke
Impact in
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 4
-
- T-cell and Retrovirus Studies 4
- Co-authors
- Donald L. Hamilton (1 shared paper)Norma Masson (1 shared paper)Andrew Epstein (1 shared paper)Jonathan Gleadle (1 shared paper)David R. Mole (1 shared paper)Eric Metzen (1 shared paper)Peter J. Ratcliffe (1 shared paper)Luke A. McNeill (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)PLoS ONE (3 papers)Molecular Therapy (2 papers)Journal of Medical Virology (2 papers)Journal of Virology (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
John P. O’Rourke
34 papers receiving 3.7k citations
John P. O’Rourke's Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 2.2k
- Aging 102
- Molecular Biology 2.3k
- Biochemistry 223
- Genetics 749
Countries citing papers authored by John P. O’Rourke
This map shows the geographic impact of John P. O’Rourke'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 P. O’Rourke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. O’Rourke more than expected).
Fields of papers citing papers by John P. O’Rourke
This network shows the impact of papers produced by John P. O’Rourke. 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 P. O’Rourke. The network helps show where John P. O’Rourke may publish in the future.
Co-authors
The 25 scholars most cited alongside John P. O’Rourke, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | C. elegans EGL-9 and Mammalian Homologs Define a Family of Dioxygenases that Regulate HIF by Prolyl Hydroxylation Hit paper breakdown → | 2001 | 2746 |
| 2 | 2013 | 145 | |
| 3 | 2011 | 76 | |
| 4 | 1997 | 75 | |
| 5 | 2000 | 70 | |
| 6 | 1999 | 66 | |
| 7 | 2017 | 55 | |
| 8 | 2001 | 54 | |
| 9 | 1996 | 48 | |
| 10 | 2012 | 41 | |
| 11 | 2008 | 41 | |
| 12 | 2002 | 37 | |
| 13 | 2005 | 35 | |
| 14 | 1998 | 31 | |
| 15 | 2003 | 29 | |
| 16 | 1999 | 27 | |
| 17 | 2014 | 23 | |
| 18 | 2015 | 22 | |
| 19 | 2011 | 22 | |
| 20 | 1995 | 20 |
About John P. O’Rourke
John P. O’Rourke is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Cancer Research, having authored 34 papers that have together received 3.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (4 papers), Vector-Borne Animal Diseases (4 papers), Animal Disease Management and Epidemiology (4 papers), T-cell and Retrovirus Studies (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (2.2k citations), Aging (102 citations), Molecular Biology (2.3k citations), Biochemistry (223 citations) and Genetics (749 citations). John P. O’Rourke has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Donald L. Hamilton, Norma Masson, Andrew Epstein, Jonathan Gleadle, David R. Mole, Eric Metzen, Peter J. Ratcliffe, Luke A. McNeill, Kirsty S. Hewitson and Christopher W. Pugh. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Molecular Therapy, Journal of Medical Virology and Journal of 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.