Tom Irving

1.2k citations
18 papers · 888 indexed · h-index 10

Impact in

Papers in

Tom Irving

18 papers receiving 876 citations

Peers

Tom Irving
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 704
  • Cell Biology 184
  • Atomic and Molecular Physics, and Optics 264
  • Structural Biology 10
  • Molecular Biology 473
Replace Yasunori Takezawa with:
Yasunori Takezawa Japan
M. Kress United Kingdom
L Lucii Italy
Natalia A. Koubassova Russia
Marco Caremani Italy
Pasquale Bianco Italy
Elisabetta Brunello United Kingdom
John Wray Germany
Alex Stewart United States
Marc L. Bartoo United States
Tom Irving relative to Yasunori Takezawa Japan Yasunori Takezawa's profile →
Citations per field
00.5×1.5×2.4×
Yasunori Takezawa · 1×
Citations per year

Countries citing papers authored by Tom Irving

Since Specialization
Citations

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

Fields of papers citing papers by Tom Irving

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Irving. 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 Tom Irving. The network helps show where Tom Irving may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1994395
2 2004155
3 200660
4 199855
5 199341
6 201340
7 200440
8 200635
9 200430
10 200515
11 20036
12 20045
13 19984
14 20052
15 20062
16
X-ray interference reports the distribution and conformation of myosin heads during steady isotonic shortening of muscle
20041
17
The conformation of myosin heads during steady shortening at constant load
20051
18 20091

About Tom Irving

Tom Irving is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Atomic and Molecular Physics, and Optics, Mechanics of Materials and Cell Biology, having authored 18 papers that have together received 888 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (14 papers), Muscle Physiology and Disorders (10 papers), Cardiovascular Effects of Exercise (6 papers), Force Microscopy Techniques and Applications (3 papers), Cellular Mechanics and Interactions (2 papers), Pineapple and bromelain studies (1 paper), Advanced Sensor and Energy Harvesting Materials (1 paper) and Muscle activation and electromyography studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (704 citations), Cell Biology (184 citations), Atomic and Molecular Physics, and Optics (264 citations), Structural Biology (10 citations) and Molecular Biology (473 citations). Tom Irving has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Alex Stewart, H. E. Huxley, Hernando Sosa, Massimo Reconditi, Theyencheri Narayanan, Malcolm Irving, Vincenzo Lombardi, L Lucii, Marco Linari and Gabriella Piazzesi. Their work appears in journals such as Biophysical Journal, Advances in experimental medicine and biology, Journal of Molecular Biology, Matrix Biology and Journal of Synchrotron Radiation.

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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