James R. Sellers

22.2k citations
231 papers · 16.8k indexed · 3 hit papers · h-index 73

James R. Sellers

228 papers receiving 16.6k citations

Hit Papers

Mechanism of Blebbistatin Inhibition of Myosin II78620002026200820172505007501000

Peers

James R. Sellers
Comparison fields: 5 of 155
  • Cell Biology 7.5k
  • Cardiology and Cardiovascular Medicine 8.2k
  • Molecular Biology 10.0k
  • Immunology and Allergy 806
  • Sensory Systems 638
Replace Mark S. Mooseker with:
Mark S. Mooseker United States
John Kendrick‐Jones United Kingdom
John A. Hammer United States
Mitsuo Ikebe United States
Vann Bennett United States
Pekka Lappalainen Finland
Richard E. Cheney United States
James A. Spudich United States
Robert Adelstein United States
Hans Georg Mannherz Germany
James R. Sellers relative to Mark S. Mooseker United States Mark S. Mooseker's profile →
Citations per field
00.5×
Mark S. Mooseker · 1×
Citations per year

Countries citing papers authored by James R. Sellers

Since Specialization
Citations

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

Fields of papers citing papers by James R. Sellers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 20235
4 20230
5 20226
6 202155
7 20214
8 202116
9 202125
10 202031
11 202011
12 20198
13 201851
14 20181
15 201722
16 201367
17 2012113
18 200331
19
An Examination of Fiscal Trends in Public Parks and Recreation from 1986 to 2001: A Case Study of North Carolina
20035
20
Assessment of Fiscal Status and Financial Trends in Public Parks and Recreation Agencies in Medium-Sized Communities of Southeastern United States
19976

About James R. Sellers

James R. Sellers is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology and Molecular Biology, having authored 231 papers that have together received 16.8k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (173 papers), Muscle Physiology and Disorders (98 papers), Cellular Mechanics and Interactions (86 papers), Force Microscopy Techniques and Applications (26 papers), Cardiovascular Effects of Exercise (24 papers), Microtubule and mitosis dynamics (16 papers), Genetic Neurodegenerative Diseases (13 papers) and Ion channel regulation and function (13 papers). The work is most often cited by research in Cell Biology (7.5k citations), Cardiology and Cardiovascular Medicine (8.2k citations) and Molecular Biology (10.0k citations). James R. Sellers has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Robert Adelstein, Fei Wang, Mihály Kovács, John A. Hammer, Aaron F. Straight, Claudia Veigel, Sarah M. Heissler, Peter J. Knight, Takeshi Sakamoto and Judit Tóth. Their work appears in journals such as Nature, Science and Cell.

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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