Alan Garny

41 papers receiving 1.6k citations

Peers

Alan Garny
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 869
  • Biophysics 96
  • Information Systems and Management 106
  • Molecular Biology 764
  • Cellular and Molecular Neuroscience 187
Replace Jonathan Cooper with:
Jonathan Cooper United Kingdom
David Nickerson New Zealand
Poul Nielsen New Zealand
Jonathan Whiteley United Kingdom
Catherine M. Lloyd New Zealand
Chris P. Bradley New Zealand
Joseph L. Greenstein United States
Néjib Zemzemi France
Maxwell L. Neal United States
Gunnar Seemann Germany
Alan Garny relative to Jonathan Cooper United Kingdom Jonathan Cooper's profile →
Citations per field
00.5×1.5×
Jonathan Cooper · 1×
Citations per year

Countries citing papers authored by Alan Garny

Since Specialization
Citations

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

Fields of papers citing papers by Alan Garny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009168
2 2009150
3 2009123
4 201199
5 200893
6 200688
7 201273
8 201065
9 201559
10 200358
11 201056
12 200356
13 200855
14 201552
15 200944
16 200942
17 200441
18 200437
19 200629
20 200329

About Alan Garny

Alan Garny is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biophysics, Management Science and Operations Research and Biomedical Engineering, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (19 papers), Cardiac electrophysiology and arrhythmias (18 papers), Ion channel regulation and function (9 papers), Cardiovascular Function and Risk Factors (6 papers), Cell Image Analysis Techniques (5 papers), Simulation Techniques and Applications (5 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (869 citations), Biophysics (96 citations), Information Systems and Management (106 citations), Molecular Biology (764 citations) and Cellular and Molecular Neuroscience (187 citations). Alan Garny has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Peter Köhl, Peter Hunter, Jonathan Cooper, Denis Noble, Christian Bollensdorff, David J. Gavaghan, David Nickerson, Miguel O. Bernabéu, Penelope J. Noble and Joe Pitt‐Francis. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, International Journal of Bifurcation and Chaos, BMC Bioinformatics and Progress in Biophysics and Molecular 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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