David D. Thomas

17.9k citations
411 papers · 14.2k · h-index 60

Impact in

Papers in

David D. Thomas

406 papers receiving 13.6k citations

Peers

David D. Thomas
Comparison fields: 5 of 145
  • Biophysics 3.4k
  • Cardiology and Cardiovascular Medicine 4.7k
  • Molecular Biology 7.6k
  • Cell Biology 1.3k
  • Spectroscopy 582
Replace David W. Piston with:
David W. Piston United States
Jin Zhang United States
Takashi Funatsu Japan
John E. T. Corrie United Kingdom
Cristobal G. dos Remedios Australia
J. Gergely United States
Giuseppe Inesi United States
David Rostron Trentham United Kingdom
Claude B. Klee United States
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David D. Thomas relative to David W. Piston United States David W. Piston's profile →
Citations per field
00.5×5×10×15.3×
David W. Piston · 1×
Citations per year

Countries citing papers authored by David D. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by David D. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David D. Thomas. 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 David D. Thomas. The network helps show where David D. Thomas may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 411 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990460
2 1976348
3 1980245
4 1982221
5 1997156
6 1978150
7 1982142
8 2003133
9 2005132
10 1978131
11 1979130
12 2001130
13 2018123
14 1980121
15 1999116
16 1998110
17 1975107
18 2004104
19 201597
20 200796

About David D. Thomas

David D. Thomas is a scholar working on Biophysics, Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology and Physical and Theoretical Chemistry, having authored 411 papers that have together received 14.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (124 papers), Electron Spin Resonance Studies (118 papers), Cardiomyopathy and Myosin Studies (93 papers), Cardiac electrophysiology and arrhythmias (73 papers), ATP Synthase and ATPases Research (47 papers), Ion channel regulation and function (43 papers), Advanced Fluorescence Microscopy Techniques (41 papers) and Lipid Membrane Structure and Behavior (41 papers). The work is most often cited by research in Biophysics (3.4k citations), Cardiology and Cardiovascular Medicine (4.7k citations), Molecular Biology (7.6k citations), Cell Biology (1.3k citations) and Spectroscopy (582 citations). David D. Thomas has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Ewa Próchniewicz, Christine B. Karim, Rǎzvan L. Cornea, James S. Hyde, Gianluigi Veglia, Thomas C. Squier, Joseph M. Muretta, Lubert Stryer, Larry R. Jones and Michel Espinoza-Fonseca. Their work appears in journals such as Biophysical Journal, Biochemistry, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Journal of 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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