John P. O’Rourke

34 papers receiving 3.7k citations

John P. O’Rourke's Hit Papers

C. elegans EGL-9 and Mammalian Homologs Define a Family of Dioxygenases that Regulate HIF by Prolyl Hydroxylation 2001 · 2.7k citations
2.7k0+8+16Years since publication50010001.5k2.0k2.5k

Peers

John P. O’Rourke
Comparison fields: 5 of 138
  • Cancer Research 2.2k
  • Aging 102
  • Molecular Biology 2.3k
  • Biochemistry 223
  • Genetics 749
Replace Norma Masson with:
Norma Masson United Kingdom
Eric Metzen Germany
Daisuke Nakada United States
Christine Mayr United States
Nikolai A. Timchenko United States
Annalisa Pession Italy
Paz Einat Israel
Kenji Miyado Japan
Gieri Camenisch Switzerland
Hannes C. A. Drexler Germany
John P. O’Rourke relative to Norma Masson United Kingdom Norma Masson's profile →
Citations per field
00.5×1.5×
Norma Masson · 1×
Citations per year

Countries citing papers authored by John P. O’Rourke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John P. O’Rourke Line = papers co-authored together John P. O’Rourke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
20012746
2 2013145
3 201176
4 199775
5 200070
6 199966
7 201755
8 200154
9 199648
10 201241
11 200841
12 200237
13 200535
14 199831
15 200329
16 199927
17 201423
18 201522
19 201122
20 199520

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.

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