Michael T. Cooling

1000 citations
17 papers · 420 · h-index 11

Impact in

Papers in

    • Gene Regulatory Network Analysis 9
    • Bioinformatics and Genomic Networks 3
    • Ion channel regulation and function 2
    • Signaling Pathways in Disease 2
    • Cellular Mechanics and Interactions 2

Michael T. Cooling

17 papers receiving 412 citations

Peers

Michael T. Cooling
Comparison fields: 5 of 80
  • Biophysics 30
  • Information Systems and Management 33
  • Molecular Biology 273
  • Cardiology and Cardiovascular Medicine 76
  • Aging 3
Replace Autumn Cuellar with:
Autumn Cuellar New Zealand
Blanca Rodríguez United Kingdom
Tomasz Adamusiak United States
Michael Clerx United Kingdom
Hans‐Michael Kaltenbach Switzerland
Gherman Novakovsky Canada
Ludwig Lausser Germany
Andrian Yang Australia
Douglas Lindblad United States
Richard M. Wasserman United States
Michael T. Cooling relative to Autumn Cuellar New Zealand Autumn Cuellar's profile →
Citations per field
00.5×4.3×
Autumn Cuellar · 1×
Citations per year

Countries citing papers authored by Michael T. Cooling

Since Specialization
Citations

This map shows the geographic impact of Michael T. Cooling'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 Michael T. Cooling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Cooling more than expected).

Fields of papers citing papers by Michael T. Cooling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Cooling. 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 Michael T. Cooling. The network helps show where Michael T. Cooling may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201199
2 201063
3 200737
4 201431
5 200928
6 201527
7 200826
8 201122
9 202020
10 200912
11 201112
12 201510
13 20149
14 20168
15 20157
16 20097
17 20102

About Michael T. Cooling

Michael T. Cooling is a scholar working on Molecular Biology, Cell Biology, Biophysics, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 17 papers that have together received 420 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (3 papers), Cell Image Analysis Techniques (3 papers), Ion channel regulation and function (2 papers), Signaling Pathways in Disease (2 papers), Cellular Mechanics and Interactions (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Biophysics (30 citations), Information Systems and Management (33 citations), Molecular Biology (273 citations), Cardiology and Cardiovascular Medicine (76 citations) and Aging (3 citations). Michael T. Cooling has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Peter Hunter, Edmund J. Crampin, James R. Lawson, Poul M. F. Nielsen, David Nickerson, Göksel Mısırlı, Anil Wipat, Catherine M. Lloyd, Jennifer Hallinan and Alan Garny. Their work appears in journals such as Bioinformatics, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Biophysical Journal, The Journal of Physiology and PLoS Computational 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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