Sam Walcott

1.6k citations
37 papers · 1.2k · h-index 20

Impact in

Papers in

Sam Walcott

37 papers receiving 1.2k citations

Peers

Sam Walcott
Comparison fields: 5 of 92
  • Cell Biology 684
  • Cardiology and Cardiovascular Medicine 373
  • Atomic and Molecular Physics, and Optics 286
  • Biomedical Engineering 377
  • Structural Biology 10
Replace Ivo A. Telley with:
Ivo A. Telley Germany
Brannon R. McCullough United States
Pasquale Bianco Italy
Shimin Le Singapore
Yasuharu Takagi United States
Takashi Ohki Japan
Guillaume Lenormand United States
Shiqiong Hu United States
Qingzong Tseng France
Matthew C. Salanga United States
Sam Walcott relative to Ivo A. Telley Germany Ivo A. Telley's profile →
Citations per field
00.5×3.3×
Ivo A. Telley · 1×
Citations per year

Countries citing papers authored by Sam Walcott

Since Specialization
Citations

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

Fields of papers citing papers by Sam Walcott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010191
2 2012147
3 201290
4 201077
5 201170
6 201355
7 200952
8 201142
9 201138
10 200834
11 200331
12 200831
13 201530
14 201729
15 200928
16 201924
17 201824
18 200922
19 201121
20 201719

About Sam Walcott

Sam Walcott is a scholar working on Atomic and Molecular Physics, and Optics, Cardiology and Cardiovascular Medicine, Cell Biology, Molecular Biology and Biomedical Engineering, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (23 papers), Cardiomyopathy and Myosin Studies (21 papers), Cellular Mechanics and Interactions (17 papers), Muscle Physiology and Disorders (11 papers), Cardiovascular Effects of Exercise (5 papers), Muscle activation and electromyography studies (4 papers), Mechanical and Optical Resonators (2 papers) and Molecular Junctions and Nanostructures (2 papers). The work is most often cited by research in Cell Biology (684 citations), Cardiology and Cardiovascular Medicine (373 citations), Atomic and Molecular Physics, and Optics (286 citations), Biomedical Engineering (377 citations) and Structural Biology (10 citations). Sam Walcott has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sean X. Sun, Edward P. Debold, David M. Warshaw, Denis Wirtz, Charles W. Wolgemuth, Manoj Srinivasan, Matthew A. Turner, Shyam B. Khatau, Yunfeng Feng and Gregory D. Longmore. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Scientific Reports, Current Biology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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