Martin O’Rourke

934 citations
26 papers · 614 · h-index 15

Impact in

Papers in

    • Signaling Pathways in Disease 5
    • Biochemical and Structural Characterization 4
    • Heat shock proteins research 3
    • Chemical Synthesis and Analysis 2
    • Antimicrobial Peptides and Activities 11

Martin O’Rourke

25 papers receiving 607 citations

Peers

Martin O’Rourke
Comparison fields: 5 of 75
  • Microbiology 166
  • Cellular and Molecular Neuroscience 101
  • Genetics 141
  • Molecular Biology 311
  • Immunology 86
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Nicole Happel Germany
Satohiko Araki Japan
Roberta Saldanha-Gama Brazil
Leslie A. Nangle United States
R L Shattuck United States
Fritz Rudert Germany
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Takashi Morita Japan
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Citations per field
00.5×10×12.8×
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Citations per year

Countries citing papers authored by Martin O’Rourke

Since Specialization
Citations

This map shows the geographic impact of Martin 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 Martin 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 Martin O’Rourke more than expected).

Fields of papers citing papers by Martin O’Rourke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin 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 Martin O’Rourke. The network helps show where Martin O’Rourke may publish in the future.

Co-authors

The 25 scholars most cited alongside Martin 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 Martin O’Rourke Line = papers co-authored together Martin 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200252
2 200852
3 201950
4 200546
5 201144
6 200044
7 200942
8 200239
9 201035
10 197735
11 200330
12 200322
13 200719
14 200417
15 200715
16 201514
17 200713
18 200812
19 202210
20 20009

About Martin O’Rourke

Martin O’Rourke is a scholar working on Molecular Biology, Microbiology, Cellular and Molecular Neuroscience, Genetics and Oncology, having authored 26 papers that have together received 614 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (11 papers), Neurobiology and Insect Physiology Research (7 papers), Signaling Pathways in Disease (5 papers), Biochemical and Structural Characterization (4 papers), Venomous Animal Envenomation and Studies (4 papers), Heat shock proteins research (3 papers), Chemical Synthesis and Analysis (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Microbiology (166 citations), Cellular and Molecular Neuroscience (101 citations), Genetics (141 citations), Molecular Biology (311 citations) and Immunology (86 citations). Martin O’Rourke has collaborated with scholars based in United Kingdom, China and Italy. Frequent co-authors include David G. Hirst, Chris Shaw, Tianbao Chen, Tracy Robson, Pingfan Rao, Stephen McClean, David F. Orr, Anthony J. Bjourson, Andrea Valentine and Helen O. McCarthy. Their work appears in journals such as Peptides, Clinical Cancer Research, Regulatory Peptides, Cancer Research and Biochemical and Biophysical Research Communications.

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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