Casey L. Egan

11 papers receiving 726 citations

Casey L. Egan's Hit Papers

Extracellular Vesicles Provide a Means for Tissue Crosstalk during Exercise 2018 · 549 citations
5490+2+5Years since publication100200300400500

Peers

Casey L. Egan
Comparison fields: 5 of 68
  • Rehabilitation 90
  • Cancer Research 133
  • Physiology 201
  • Molecular Biology 412
  • Cardiology and Cardiovascular Medicine 85
Replace Tim Petzold with:
Tim Petzold Germany
Chiel C. de Theije Netherlands
Dominique Mayaki Canada
Bailey D. Peck United States
Ermelinda Ceco United States
Sahana Suresh Babu United States
Jill A. Rahnert United States
Eleonora Mondini Italy
Sarah M. Judge United States
Casey L. Egan relative to Tim Petzold Germany Tim Petzold's profile →
Citations per field
00.5×1.6×
Tim Petzold · 1×
Citations per year

Countries citing papers authored by Casey L. Egan

Since Specialization
Citations

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

Fields of papers citing papers by Casey L. Egan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey L. Egan. 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 Casey L. Egan. The network helps show where Casey L. Egan may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Extracellular Vesicles Provide a Means for Tissue Crosstalk during Exercise
Hit paper breakdown →
2018549
2 201972
3 202030
4 202328
5 201924
6 202514
7 20247
8 20234
9 20233
10 20181
11 20251
12 20250

About Casey L. Egan

Casey L. Egan is a scholar working on Physiology, Epidemiology, Cell Biology, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 733 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cardiovascular Disease and Adiposity (2 papers), Extracellular vesicles in disease (2 papers), Cardiovascular Effects of Exercise (1 paper), RNA modifications and cancer (1 paper), Anatomy and Medical Technology (1 paper) and Regulation of Appetite and Obesity (1 paper). The work is most often cited by research in Rehabilitation (90 citations), Cancer Research (133 citations), Physiology (201 citations), Molecular Biology (412 citations) and Cardiology and Cardiovascular Medicine (85 citations). Casey L. Egan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Mark Anthony Febbraio, William E. Hughes, Marit Hjorth, Tim Petzold, Martin Whitham, Emma Estévez, Jørgen F. P. Wojtaszewski, Kevin I. Watt, Martin Haljeta Friedrichsen and Erik Arne Richter. Their work appears in journals such as Journal of sport and health science, Nature Metabolism, American Journal of Physiology-Endocrinology and Metabolism, Science Advances and Behavioural Brain Research.

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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