Michael J. Cullen

180 papers receiving 5.2k citations

Peers

Michael J. Cullen
Comparison fields: 5 of 209
  • Nephrology 328
  • Cellular and Molecular Neuroscience 678
  • Rehabilitation 204
  • Molecular Biology 2.2k
  • Physiology 761
Replace Makoto Sasaki with:
Makoto Sasaki Japan
Colin Green New Zealand
Peter J. Hutchinson United Kingdom
Jeffrey C. Allen United States
David G. Campbell United Kingdom
Jamie A. Davies United Kingdom
Michael A. Thompson United States
Roger Cox United Kingdom
Dale Benos United States
Thomas B. L. Kirkwood United Kingdom
Michael J. Cullen relative to Makoto Sasaki Japan Makoto Sasaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael J. Cullen

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Cullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996304
2 1996275
3 1999235
4 2005167
5 1982159
6 1975136
7 2004125
8 1990107
9 1996106
10 1988104
11 1990104
12 2000103
13 200599
14 198092
15 200491
16 197687
17 200687
18 198484
19 198682
20 197581

About Michael J. Cullen

Michael J. Cullen is a scholar working on Molecular Biology, Atmospheric Science, Cellular and Molecular Neuroscience, Physiology and Cardiology and Cardiovascular Medicine, having authored 184 papers that have together received 5.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (34 papers), Meteorological Phenomena and Simulations (21 papers), Climate variability and models (13 papers), Cardiomyopathy and Myosin Studies (11 papers), Innovations in Medical Education (9 papers), Computational Fluid Dynamics and Aerodynamics (9 papers), Tropical and Extratropical Cyclones Research (8 papers) and Oceanographic and Atmospheric Processes (8 papers). The work is most often cited by research in Nephrology (328 citations), Cellular and Molecular Neuroscience (678 citations), Rehabilitation (204 citations), Molecular Biology (2.2k citations) and Physiology (761 citations). Michael J. Cullen has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Zoltán A. Tökés, Giselle P. Lim, Jon R. Backstrom, Paul R. Sackett, J.B. Harris, J. J. Fulthorpe, Donald MacKenzie, Chaitra M. Hardison, Evelyn Jaros and John Walsh. Their work appears in journals such as Quarterly Journal of the Royal Meteorological Society, Journal of Computational Physics, Acta Neuropathologica, Academic Medicine and British Journal of Radiology.

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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