Sam Walcott

94 total papers · 1.5k total citations
37 papers, 1.2k citations indexed

About

Sam Walcott is a scholar working on Atomic and Molecular Physics, and Optics, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Sam Walcott has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atomic and Molecular Physics, and Optics, 21 papers in Cardiology and Cardiovascular Medicine and 18 papers in Cell Biology. Recurrent topics in Sam Walcott's work include Force Microscopy Techniques and Applications (23 papers), Cardiomyopathy and Myosin Studies (21 papers) and Cellular Mechanics and Interactions (17 papers). Sam Walcott is often cited by papers focused on Force Microscopy Techniques and Applications (23 papers), Cardiomyopathy and Myosin Studies (21 papers) and Cellular Mechanics and Interactions (17 papers). Sam Walcott collaborates with scholars based in United States, Canada and United Kingdom. Sam Walcott's co-authors include Sean X. Sun, Edward P. Debold, David M. Warshaw, Denis Wirtz, Manoj Srinivasan, Charles W. Wolgemuth, Matthew A. Turner, Gregory D. Longmore, Yunfeng Feng and Shyam B. Khatau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Sam Walcott

37 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sam Walcott 682 416 376 369 286 37 1.2k
Hyeran Kang 706 1.0× 206 0.5× 237 0.6× 158 0.4× 272 1.0× 35 1.1k
Taeyoon Kim 1.0k 1.5× 529 1.3× 293 0.8× 100 0.3× 231 0.8× 59 1.5k
Cristian Suarez 1.1k 1.6× 534 1.3× 184 0.5× 197 0.5× 218 0.8× 31 1.5k
Sangyoon J. Han 661 1.0× 407 1.0× 485 1.3× 105 0.3× 196 0.7× 41 1.3k
Ewa Próchniewicz 811 1.2× 697 1.7× 87 0.2× 787 2.1× 354 1.2× 42 1.5k
Kurt M. Schmoller 697 1.0× 567 1.4× 259 0.7× 58 0.2× 232 0.8× 36 1.4k
Shimin Le 606 0.9× 712 1.7× 155 0.4× 119 0.3× 509 1.8× 55 1.3k
Kimihide Hayakawa 655 1.0× 318 0.8× 228 0.6× 133 0.4× 165 0.6× 25 972
Sébastien Schaub 589 0.9× 531 1.3× 267 0.7× 78 0.2× 85 0.3× 45 1.3k
Arjun S. Adhikari 332 0.5× 434 1.0× 168 0.4× 514 1.4× 172 0.6× 20 1.1k

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-authorship network of co-authors of Sam Walcott

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Walcott. A scholar is included among the top collaborators of Sam Walcott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sam Walcott. Sam Walcott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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