Jonathan Whiteley

1.7k citations
59 papers · 1.3k · h-index 19

Impact in

Papers in

Jonathan Whiteley

54 papers receiving 1.3k citations

Peers

Jonathan Whiteley
Comparison fields: 5 of 135
  • Cardiology and Cardiovascular Medicine 406
  • Modeling and Simulation 77
  • Biophysics 59
  • Computational Theory and Mathematics 127
  • Cell Biology 116
Replace Rafel Bordas with:
Rafel Bordas United Kingdom
Miguel O. Bernabéu United Kingdom
Joe Pitt‐Francis United Kingdom
Pras Pathmanathan United States
Alan Garny United Kingdom
Joakim Sundnes Norway
Néjib Zemzemi France
Jack Lee United Kingdom
Christopher J. Arthurs United Kingdom
Philippe Moireau France
Jonathan Whiteley relative to Rafel Bordas United Kingdom Rafel Bordas's profile →
Citations per field
00.5×1.5×2.4×
Rafel Bordas · 1×
Citations per year

Countries citing papers authored by Jonathan Whiteley

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Whiteley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009190
2 2007134
3 2013121
4 200669
5 201067
6 200860
7 200247
8 201146
9 200745
10 200445
11 200944
12 200743
13 201432
14 200929
15 201727
16 201427
17 201724
18 200921
19 200118
20 200318

About Jonathan Whiteley

Jonathan Whiteley is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Biomedical Engineering, Computational Mechanics and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (14 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Cardiovascular Function and Risk Factors (5 papers), Neuroscience and Neural Engineering (4 papers), Protein Structure and Dynamics (4 papers), Ion channel regulation and function (4 papers), Gene Regulatory Network Analysis (4 papers) and Respiratory Support and Mechanisms (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (406 citations), Modeling and Simulation (77 citations), Biophysics (59 citations), Computational Theory and Mathematics (127 citations) and Cell Biology (116 citations). Jonathan Whiteley has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include David J. Gavaghan, Pras Pathmanathan, Joe Pitt‐Francis, James Southern, Sarah L. Waters, Helen M. Byrne, Clive E.W. Hahn, Jonathan Cooper, Miguel O. Bernabéu and Alan Garny. Their work appears in journals such as Mathematical Biosciences, Annals of Biomedical Engineering, Bulletin of Mathematical Biology, Progress in Biophysics and Molecular Biology and Journal of Theoretical Biology.

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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