Alan Garny

3.1k citations
41 papers · 1.6k indexed · h-index 23

Alan Garny

41 papers receiving 1.6k citations

Peers

Alan Garny
Comparison fields: 5 of 115
  • Cardiology and Cardiovascular Medicine 899
  • Biophysics 118
  • Information Systems and Management 115
  • Molecular Biology 852
  • Cellular and Molecular Neuroscience 205
Replace Jonathan Cooper with:
Jonathan Cooper United Kingdom
David Nickerson New Zealand
Poul Nielsen New Zealand
Catherine M. Lloyd New Zealand
Chris P. Bradley New Zealand
Néjib Zemzemi France
Anushka Michailova United States
Maxwell L. Neal United States
Fumito Miyoshi Japan
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-authorship network

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
#Work
1 20218
2 201711
3 201558
4 201551
5 201417
6 20136
7 201273
8
Biological Modelling Using CellML and MATLAB
20103
9 201064
10 201056
11 2009150
12 200912
13 2009122
14 200942
15 200893
16 200436
17 200441
18 20032
19 200358
20
Advanced computational model of central and peripheral rabbit sino-atrial node cells
20001

About Alan Garny

Alan Garny is a scholar working on Biophysics, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 41 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 (19 papers), Ion channel regulation and function (10 papers), Cardiovascular Function and Risk Factors (7 papers), Cell Image Analysis Techniques (6 papers), Neuroscience and Neural Engineering (5 papers), Bioinformatics and Genomic Networks (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (899 citations), Biophysics (118 citations) and Information Systems and Management (115 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, Progress in Biophysics and Molecular Biology, BMC Bioinformatics, The Journal of Physiology and International Journal of Bifurcation and Chaos.

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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