William Triplett

4.5k citations
45 papers · 1.8k · h-index 20

Impact in

Papers in

William Triplett

44 papers receiving 1.7k citations

Peers

William Triplett
Comparison fields: 5 of 107
  • Modeling and Simulation 133
  • Radiology, Nuclear Medicine and Imaging 472
  • Cognitive Neuroscience 355
  • Cellular and Molecular Neuroscience 262
  • Genetics 133
Replace Rodolfo G. Gatto with:
Rodolfo G. Gatto United States
Itamar Ronen Netherlands
Timothy M. Shepherd United States
Marcel Prastawa United States
Jorge Riera United States
Irvin Teh United Kingdom
András Eke Hungary
Lois J. Mannon United States
William Triplett relative to Rodolfo G. Gatto United States Rodolfo G. Gatto's profile →
Citations per field
00.5×7.7×
Rodolfo G. Gatto · 1×
Citations per year

Countries citing papers authored by William Triplett

Since Specialization
Citations

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

Fields of papers citing papers by William Triplett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016249
2 2013134
3 2012123
4 2016120
5 2014116
6 2014111
7 201395
8 201487
9 201383
10 201383
11 201368
12 202059
13 201851
14 201448
15 201846
16 201338
17 201634
18 202027
19 201926
20 201521

About William Triplett

William Triplett is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (28 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Muscle activation and electromyography studies (9 papers), Cardiomyopathy and Myosin Studies (8 papers), Advanced MRI Techniques and Applications (7 papers), Genetic Neurodegenerative Diseases (6 papers), Functional Brain Connectivity Studies (6 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Modeling and Simulation (133 citations), Radiology, Nuclear Medicine and Imaging (472 citations), Cognitive Neuroscience (355 citations), Cellular and Molecular Neuroscience (262 citations) and Genetics (133 citations). William Triplett has collaborated with scholars based in United States, Pakistan and Netherlands. Frequent co-authors include Thomas H. Mareci, Krista Vandenborne, Glenn A. Walter, Donovan J. Lott, Sean C. Forbes, H. Lee Sweeney, Luis M. Colón-Pérez, Rebecca J. Willcocks, Claudia Senesac and Michael J. Daniels. Their work appears in journals such as Neuromuscular Disorders, Neurology, PLoS ONE, Magnetic Resonance in Medicine and Brain Imaging and Behavior.

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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