Jonathan Cooper

57 papers receiving 2.0k citations

Peers

Jonathan Cooper
Comparison fields: 5 of 150
  • Cardiology and Cardiovascular Medicine 755
  • Modeling and Simulation 169
  • Information Systems and Management 188
  • Biophysics 104
  • Molecular Biology 928
Replace Alan Garny with:
Alan Garny United Kingdom
David Nickerson New Zealand
Gary R. Mirams United Kingdom
Poul Nielsen New Zealand
Catherine M. Lloyd New Zealand
James C. Schaff United States
Herbert M. Sauro United States
Michael Hucka United States
Ina Koch Germany
Jan Hasenauer Germany
Jonathan Cooper relative to Alan Garny United Kingdom Alan Garny's profile →
Citations per field
00.5×3.2×
Alan Garny · 1×
Citations per year

Countries citing papers authored by Jonathan Cooper

Since Specialization
Citations

This map shows the geographic impact of Jonathan Cooper'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 Jonathan Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Cooper more than expected).

Fields of papers citing papers by Jonathan Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Cooper. 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 Jonathan Cooper. The network helps show where Jonathan Cooper may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Cooper, 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 Jonathan Cooper Line = papers co-authored together Jonathan Cooper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013308
2 2011249
3 2009190
4 2008110
5 201499
6 201288
7 200981
8 201067
9 201065
10 201563
11 200860
12 200446
13 201145
14 201641
15 197031
16 200630
17 200929
18 201428
19 201526
20 201124

About Jonathan Cooper

Jonathan Cooper is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Information Systems and Management and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (18 papers), Cardiac electrophysiology and arrhythmias (17 papers), Scientific Computing and Data Management (10 papers), Receptor Mechanisms and Signaling (6 papers), Natural Language Processing Techniques (5 papers), Bioinformatics and Genomic Networks (5 papers), Semantic Web and Ontologies (4 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (755 citations), Modeling and Simulation (169 citations), Information Systems and Management (188 citations), Biophysics (104 citations) and Molecular Biology (928 citations). Jonathan Cooper has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Gary R. Mirams, David J. Gavaghan, Alan Garny, Joe Pitt‐Francis, Pras Pathmanathan, Miguel O. Bernabéu, James M. Osborne, Steve McKeever, Rafel Bordas and David Nickerson. Their work appears in journals such as Progress in Biophysics and Molecular Biology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of The Royal Society Interface, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics and IBM Systems Journal.

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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