E. Pate

2.0k citations
28 papers · 1.7k indexed · h-index 20

Impact in

Papers in

E. Pate

28 papers receiving 1.6k citations

Peers

E. Pate
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 1.0k
  • Complementary and alternative medicine 194
  • Cell Biology 358
  • Orthopedics and Sports Medicine 172
  • Molecular Biology 881
Replace P. Bryant Chase with:
P. Bryant Chase United States
Masataka Kawai United States
Massimo Reconditi Italy
Jack A. Rall United States
Marco Linari Italy
K. Mabuchi United States
Vincenzo Lombardi Italy
Bernhard Brenner Germany
Georges Maréchal Belgium
K Trombitás United States
E. Pate relative to P. Bryant Chase United States P. Bryant Chase's profile →
Citations per field
00.5×1.5×1.8×
P. Bryant Chase · 1×
Citations per year

Countries citing papers authored by E. Pate

Since Specialization
Citations

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

Fields of papers citing papers by E. Pate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201425
2 20091
3 200623
4 200037
5 199840
6 199795
7 19957
8 19958
9 1995142
10 199455
11 199448
12 199324
13 199332
14 199357
15 199137
16 198854
17 198622
18 1985440
19 198017
20 198069

About E. Pate

E. Pate is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology, Molecular Biology, Biomedical Engineering and Modeling and Simulation, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (23 papers), Muscle Physiology and Disorders (14 papers), Muscle activation and electromyography studies (9 papers), Cardiovascular Effects of Exercise (7 papers), Cellular Mechanics and Interactions (5 papers), DNA and Nucleic Acid Chemistry (2 papers), Force Microscopy Techniques and Applications (2 papers) and Aquaculture disease management and microbiota (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Complementary and alternative medicine (194 citations), Cell Biology (358 citations), Orthopedics and Sports Medicine (172 citations) and Molecular Biology (881 citations). E. Pate has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Roger Cooke, Kathleen Franks, Giovanni Battista Luciani, Kathleen E. Franks-Skiba, Hans G. Othmer, Howard D. White, James R. Sellers, Giovanni Cuda, Ralph G. Yount and Y. Luo. Their work appears in journals such as Biophysical Journal, American Journal of Physiology-Cell Physiology, Journal of Biological Chemistry, Journal of Muscle Research and Cell Motility and Proceedings of the National Academy of Sciences.

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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