Shane R. Nelson

1.2k total citations
26 papers, 768 citations indexed

About

Shane R. Nelson is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Shane R. Nelson has authored 26 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 8 papers in Cell Biology. Recurrent topics in Shane R. Nelson's work include Cardiomyopathy and Myosin Studies (11 papers), Muscle Physiology and Disorders (5 papers) and Cellular Mechanics and Interactions (5 papers). Shane R. Nelson is often cited by papers focused on Cardiomyopathy and Myosin Studies (11 papers), Muscle Physiology and Disorders (5 papers) and Cellular Mechanics and Interactions (5 papers). Shane R. Nelson collaborates with scholars based in United States, United Kingdom and Australia. Shane R. Nelson's co-authors include David M. Warshaw, Kathleen M. Trybus, Susan S. Wallace, Aoife T. Heaslip, M. Yusuf Ali, Samantha Beck Previs, Neil M. Kad, Scott D. Kathe, Randolph V. Lewis and Amanda E. Brooks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Shane R. Nelson

24 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shane R. Nelson United States 15 488 200 130 79 76 26 768
Beáta Bugyi Hungary 17 470 1.0× 734 3.7× 305 2.3× 12 0.2× 22 0.3× 41 1.1k
Guissou A. Dabiri United States 11 519 1.1× 236 1.2× 306 2.4× 10 0.1× 15 0.2× 11 916
Ronald Melki France 7 524 1.1× 728 3.6× 140 1.1× 14 0.2× 20 0.3× 10 1.1k
G. Daneels Belgium 9 295 0.6× 210 1.1× 81 0.6× 9 0.1× 24 0.3× 10 584
Carol S. Bookwalter United States 19 615 1.3× 442 2.2× 318 2.4× 42 0.5× 3 0.0× 30 967
Ursula Wiedemann Australia 7 376 0.8× 426 2.1× 30 0.2× 12 0.2× 13 0.2× 8 718
Masaki Edamatsu Japan 16 625 1.3× 648 3.2× 29 0.2× 9 0.1× 10 0.1× 31 925
Yosuke Senju Japan 16 542 1.1× 674 3.4× 61 0.5× 6 0.1× 10 0.1× 26 1.0k
Joachim Hentschel Germany 17 268 0.5× 112 0.6× 11 0.1× 70 0.9× 16 0.2× 26 567
Serapion Pyrpassopoulos United States 12 242 0.5× 162 0.8× 51 0.4× 5 0.1× 32 0.4× 22 496

Countries citing papers authored by Shane R. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Shane R. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane R. Nelson. 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 Shane R. Nelson. The network helps show where Shane R. Nelson may publish in the future.

Co-authorship network of co-authors of Shane R. Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Shane R. Nelson. A scholar is included among the top collaborators of Shane R. Nelson 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 Shane R. Nelson. Shane R. Nelson 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.
Nelson, Shane R., et al.. (2024). Tail length and E525K dilated cardiomyopathy mutant alter human β-cardiac myosin super-relaxed state. The Journal of General Physiology. 156(6). 5 indexed citations
2.
Mead, Andrew F., Shane R. Nelson, Bradley M. Palmer, et al.. (2024). Functional role of myosin-binding protein H in thick filaments of developing vertebrate fast-twitch skeletal muscle. The Journal of General Physiology. 156(12).
3.
Nelson, Shane R., Samantha Beck Previs, Sakthivel Sadayappan, Carl Tong, & David M. Warshaw. (2023). Myosin-binding protein C stabilizes, but is not the sole determinant of SRX myosin in cardiac muscle. The Journal of General Physiology. 155(4). 14 indexed citations
4.
5.
Nelson, Shane R., Amy Li, Samantha Beck Previs, Guy G. Kennedy, & David M. Warshaw. (2020). Imaging ATP Consumption in Resting Skeletal Muscle: One Molecule at a Time. Biophysical Journal. 119(6). 1050–1055. 32 indexed citations
6.
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
7.
Li, Amy, Shane R. Nelson, Filip Braet, et al.. (2019). Skeletal MyBP-C isoforms tune the molecular contractility of divergent skeletal muscle systems. Proceedings of the National Academy of Sciences. 116(43). 21882–21892. 29 indexed citations
8.
Nelson, Shane R., Scott D. Kathe, April M. Averill, et al.. (2019). Single molecule glycosylase studies with engineered 8-oxoguanine DNA damage sites show functional defects of a MUTYH polyposis variant. Nucleic Acids Research. 47(6). 3058–3071. 11 indexed citations
9.
Kennedy, Guy G., et al.. (2017). Myova Vesicle Transport through Biomimetic Actin Networks Visualized by 3D Storm Microscopy. Biophysical Journal. 112(3). 272a–273a. 1 indexed citations
10.
Li, Amy, Shane R. Nelson, Kyoung Hwan Lee, et al.. (2017). Skeletal Myosin-Binding Protein C Modulates Actomyosin Contractility in an Isoform-Dependent Manner. Biophysical Journal. 112(3). 117a–117a. 1 indexed citations
11.
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
12.
Whitelaw, Jamie, Simon Gras, Gurman S. Pall, et al.. (2017). Surface attachment, promoted by the actomyosin system of Toxoplasma gondii is important for efficient gliding motility and invasion. BMC Biology. 15(1). 1–1. 78 indexed citations
13.
Hoeprich, Gregory J., Keith J. Mickolajczyk, Shane R. Nelson, William O. Hancock, & Christopher L. Berger. (2017). The axonal transport motor kinesin‐2 navigates microtubule obstacles via protofilament switching. Traffic. 18(5). 304–314. 23 indexed citations
14.
Heaslip, Aoife T., Shane R. Nelson, & David M. Warshaw. (2016). Dense granule trafficking inToxoplasma gondiirequires a unique class 27 myosin and actin filaments. Molecular Biology of the Cell. 27(13). 2080–2089. 37 indexed citations
15.
Nelson, Shane R., et al.. (2014). Two glycosylase families diffusively scan DNA using a wedge residue to probe for and identify oxidatively damaged bases. Proceedings of the National Academy of Sciences. 111(20). E2091–9. 81 indexed citations
16.
Heaslip, Aoife T., et al.. (2014). Cytoskeletal Dependence of Insulin Granule Movement Dynamics in INS-1 Beta-Cells in Response to Glucose. PLoS ONE. 9(10). e109082–e109082. 52 indexed citations
17.
Heaslip, Aoife T., et al.. (2013). Involvement of Myova and Actin in Insulin Granule Trafficking. Biophysical Journal. 104(2). 651a–651a. 1 indexed citations
18.
Kad, Neil M., et al.. (2011). Single Qdot-labeled glycosylase molecules use a wedge amino acid to probe for lesions while scanning along DNA. Nucleic Acids Research. 39(17). 7487–7498. 99 indexed citations
19.
Nelson, Shane R., M. Yusuf Ali, & David M. Warshaw. (2011). Quantum Dot Labeling Strategies to Characterize Single-Molecular Motors. Methods in molecular biology. 778. 111–121. 12 indexed citations
20.
Nelson, Shane R., M. Yusuf Ali, Kathleen M. Trybus, & David M. Warshaw. (2009). Random Walk of Processive, Quantum Dot-Labeled Myosin Va Molecules within the Actin Cortex of COS-7 Cells. Biophysical Journal. 97(2). 509–518. 69 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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