Sam Walcott

1.6k 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, Shyam B. Khatau, Gregory D. Longmore and Yunfeng Feng 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sam Walcott United States 20 684 416 377 373 286 37 1.2k
Brannon R. McCullough United States 8 759 1.1× 174 0.4× 206 0.5× 169 0.5× 294 1.0× 9 894
Shimin Le Singapore 21 615 0.9× 723 1.7× 155 0.4× 119 0.3× 511 1.8× 55 1.3k
Kevin Burton United States 10 358 0.5× 201 0.5× 239 0.6× 151 0.4× 129 0.5× 15 674
Ivo A. Telley Germany 17 997 1.5× 976 2.3× 233 0.6× 235 0.6× 86 0.3× 31 1.5k
Henk L. Granzier United States 13 449 0.7× 874 2.1× 453 1.2× 1.0k 2.7× 1.0k 3.6× 15 2.1k
D.H. Wachsstock United States 7 661 1.0× 334 0.8× 90 0.2× 182 0.5× 178 0.6× 7 960
Maria Némethová Austria 13 734 1.1× 437 1.1× 166 0.4× 72 0.2× 146 0.5× 21 1.2k
Qingzong Tseng France 12 775 1.1× 427 1.0× 510 1.4× 35 0.1× 144 0.5× 16 1.3k
Yasuharu Takagi United States 22 439 0.6× 596 1.4× 117 0.3× 473 1.3× 204 0.7× 39 1.2k
Daniel Koch Germany 16 467 0.7× 246 0.6× 327 0.9× 42 0.1× 186 0.7× 45 1.3k

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

20 of 20 papers shown
1.
Previs, Samantha Beck, et al.. (2024). Kinesin-1-transported liposomes prefer to go straight in 3D microtubule intersections by a mechanism shared by other molecular motors. Proceedings of the National Academy of Sciences. 121(29). e2407330121–e2407330121. 1 indexed citations
2.
Walcott, Sam & David M. Warshaw. (2021). Modeling myosin Va liposome transport through actin filament networks reveals a percolation threshold that modulates transport properties. Molecular Biology of the Cell. 33(2). 1 indexed citations
3.
4.
Nelson, Shane R., et al.. (2019). Myosin Va transport of liposomes in three-dimensional actin networks is modulated by actin filament density, position, and polarity. Proceedings of the National Academy of Sciences. 116(17). 8326–8335. 24 indexed citations
5.
Walcott, Sam, et al.. (2017). The molecular basis of thin filament activation: from single molecule to muscle. Scientific Reports. 7(1). 1822–1822. 19 indexed citations
6.
Nelson, Shane R., M. Yusuf Ali, Guy G. Kennedy, et al.. (2017). Myosin Va molecular motors manoeuvre liposome cargo through suspended actin filament intersections in vitro. Nature Communications. 8(1). 15692–15692. 29 indexed citations
7.
Walcott, Sam & Neil M. Kad. (2015). Direct Measurements of Local Coupling between Myosin Molecules Are Consistent with a Model of Muscle Activation. PLoS Computational Biology. 11(11). e1004599–e1004599. 6 indexed citations
8.
Walcott, Sam, et al.. (2015). Effects of Cardiac Myosin Binding Protein-C on Actin Motility are Explained with a Drag-Activation-Competition Model. Biophysical Journal. 108(2). 339a–339a. 1 indexed citations
9.
Walcott, Sam, et al.. (2015). Effects of Cardiac Myosin Binding Protein-C on Actin Motility Are Explained with a Drag-Activation-Competition Model. Biophysical Journal. 108(1). 10–13. 30 indexed citations
10.
Walcott, Sam. (2014). Muscle activation described with a differential equation model for large ensembles of locally coupled molecular motors. Physical Review E. 90(4). 42717–42717. 12 indexed citations
11.
Walcott, Sam. (2013). A Differential Equation Model for Tropomyosin-Induced Myosin Cooperativity Describes Myosin-Myosin Interactions at Low Calcium. Biophysical Journal. 104(2). 481a–481a. 4 indexed citations
12.
Walcott, Sam, et al.. (2011). Adhesion Dynamics and Durotaxis in Migrating Cells. Biophysical Journal. 100(3). 303a–303a. 21 indexed citations
13.
Walcott, Sam, et al.. (2011). Adhesion dynamics and durotaxis in migrating cells. Physical Biology. 8(1). 15011–15011. 70 indexed citations
14.
Walcott, Sam & Sean X. Sun. (2010). A mechanical model of actin stress fiber formation and substrate elasticity sensing in adherent cells. Proceedings of the National Academy of Sciences. 107(17). 7757–7762. 191 indexed citations
15.
Sun, Sean X., Sam Walcott, & Charles W. Wolgemuth. (2010). Cytoskeletal Cross-linking and Bundling in Motor-Independent Contraction. Current Biology. 20(15). R649–R654. 77 indexed citations
16.
Walcott, Sam & David M. Warshaw. (2010). Modeling Smooth Muscle Myosin's Two Heads: Long-Lived Enzymatic Roles and Phosphorylation-Dependent Equilibria. Biophysical Journal. 99(4). 1129–1138. 6 indexed citations
17.
Walcott, Sam & Sean X. Sun. (2010). Active force generation in cross-linked filament bundles without motor proteins. Physical Review E. 82(5). 50901–50901. 17 indexed citations
18.
Sun, Sean X. & Sam Walcott. (2010). Actin Crosslinkers: Repairing the Sense of Touch. Current Biology. 20(20). R895–R896. 2 indexed citations
19.
Walcott, Sam & Sean X. Sun. (2010). A Mechanical Model of Actin Stress Fiber Formation and Substrate Elasticity Sensing in Adherent Cells. Biophysical Journal. 98(3). 365a–365a. 8 indexed citations
20.
Walcott, Sam & Sean X. Sun. (2009). Hysteresis in cross-bridge models of muscle. Physical Chemistry Chemical Physics. 11(24). 4871–4871. 28 indexed citations

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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