John P. O’Rourke

4.6k total citations · 1 hit paper
34 papers, 3.8k citations indexed

About

John P. O’Rourke is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, John P. O’Rourke has authored 34 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Genetics. Recurrent topics in John P. O’Rourke's work include Virus-based gene therapy research (6 papers), T-cell and Retrovirus Studies (4 papers) and CRISPR and Genetic Engineering (4 papers). John P. O’Rourke is often cited by papers focused on Virus-based gene therapy research (6 papers), T-cell and Retrovirus Studies (4 papers) and CRISPR and Genetic Engineering (4 papers). John P. O’Rourke collaborates with scholars based in United States, United Kingdom and Spain. John P. O’Rourke's co-authors include Christopher J. Schofield, Norma Masson, Michael Wilson, Eric Metzen, Donald L. Hamilton, Jonathan Hodgkin, Christopher W. Pugh, Ya‐Min Tian, Jonathan Gleadle and Mridul Mukherji and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

John P. O’Rourke

34 papers receiving 3.7k citations

Hit Papers

C. elegans EGL-9 and Mammalian Homologs Define a Family o... 2001 2026 2009 2017 2001 500 1000 1.5k 2.0k 2.5k

Peers

John P. O’Rourke
Comparison fields: 5 of 138
  • Molecular Biology 2.3k
  • Cancer Research 2.2k
  • Genetics 749
  • Physiology 458
  • Oncology 401
Replace Gieri Camenisch with:
Gieri Camenisch Switzerland
Agata Giallongo Italy
Norma Masson United Kingdom
Nianli Sang United States
Michal Safran Israel
Eric Metzen Germany
Daisuke Nakada United States
Xinmin Li United States
Paz Einat Israel
Abir Mukherjee United States
Gieri Camenisch Switzerland View profile →
Citations per field, relative to John P. O’Rourke
John P. O’Rourke · 1×
Citations per year, relative to John P. O’Rourke
John P. O’Rourke · 1×

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-authorship network of co-authors of John P. O’Rourke

This figure shows the co-authorship network connecting the top 25 collaborators of John P. O’Rourke. A scholar is included among the top collaborators of John P. O’Rourke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John P. O’Rourke. John P. O’Rourke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 22
3 23
4 145
5 41
6 76
7 22
8 15
9 17
10 35
11 12
12 29
13
C. elegans EGL-9 and Mammalian Homologs Define a Family of Dioxygenases that Regulate HIF by Prolyl Hydroxylation breakdown →
2746
14 54
15 2
16 70
17 27
18 66
19 7
20 31

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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