Michael T. Cooling

1.1k citations
19 papers · 474 · h-index 13

Impact in

Papers in

    • Gene Regulatory Network Analysis 13
    • Single-cell and spatial transcriptomics 4
    • Bioinformatics and Genomic Networks 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Signaling Pathways in Disease 2
    • Ion channel regulation and function 2
    • Receptor Mechanisms and Signaling 2
    • Cell Image Analysis Techniques 6

Michael T. Cooling

19 papers receiving 463 citations

Peers

Michael T. Cooling
Comparison fields: 5 of 87
  • Biophysics 51
  • Information Systems and Management 54
  • Molecular Biology 345
  • Cardiology and Cardiovascular Medicine 83
  • Aging 3
Replace Autumn Cuellar with:
Autumn Cuellar New Zealand
Blanca Rodríguez United Kingdom
Marco Donizelli United Kingdom
Tomasz Adamusiak United States
Andrew E. Bruno United States
Rajaram Kaliyaperumal Netherlands
Alban Gaignard France
Frank Meineke Germany
Jim Bosley United States
Aditya Bharadwaj 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

19 of 19 papers shown
#Work
1 201199
2 201063
3 200944
4 200737
5 201431
6 200928
7 201527
8 200826
9 201122
10 202018
11 200912
12 201112
13 201112
14 201510
15 20149
16 20168
17 20157
18 20097
19 20102

About Michael T. Cooling

Michael T. Cooling is a scholar working on Molecular Biology, Biophysics, Cell Biology, Cardiology and Cardiovascular Medicine and Genetics, having authored 19 papers that have together received 474 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), Cell Image Analysis Techniques (6 papers), Single-cell and spatial transcriptomics (4 papers), Bioinformatics and Genomic Networks (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Signaling Pathways in Disease (2 papers), Ion channel regulation and function (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Biophysics (51 citations), Information Systems and Management (54 citations), Molecular Biology (345 citations), Cardiology and Cardiovascular Medicine (83 citations) and Aging (3 citations). Michael T. Cooling has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Peter Hunter, Edmund J. Crampin, James R. Lawson, David Nickerson, Poul M. F. Nielsen, Catherine M. Lloyd, Alan Garny, Randall D. Britten, Andrew Miller and Jennifer Hallinan. Their work appears in journals such as Bioinformatics, Biophysical Journal, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, IEEE Transactions on Biomedical Engineering and IET Systems 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.

Explore authors with similar magnitude of impact