Casey L. Egan

5 papers receiving 507 citations

Casey L. Egan's Hit Papers

Extracellular Vesicles Provide a Means for Tissue Crosstalk during Exercise 2018 · 483 citations
4830+2+5Years since publication100200300400

Peers

Casey L. Egan
Comparison fields: 5 of 61
  • Rehabilitation 85
  • Cancer Research 140
  • Physiology 156
  • Molecular Biology 356
  • Cardiology and Cardiovascular Medicine 83
Replace Tim Petzold with:
Tim Petzold Australia
Luis Da Silva‐Azevedo Germany
Emmanuel Nwadozi Canada
Junichi Suzuki Japan
Lloyd White Australia
Gwénaëlle Begue United States
Florian Britto France
Nicholas A. Ryan United States
Jill A. Rahnert United States
Valerie Fritz United States
Casey L. Egan relative to Tim Petzold Australia Tim Petzold's profile →
Citations per field
00.5×1.5×
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

7 of 7 papers shown
#Work
1
Extracellular Vesicles Provide a Means for Tissue Crosstalk during Exercise
Hit paper breakdown →
2018483
2 201924
3 20232
4 20231
5 20181
6 20250
7 20250

About Casey L. Egan

Casey L. Egan is a scholar working on Physiology, Molecular Biology, Neurology, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 7 papers that have together received 511 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Cytokine Signaling Pathways and Interactions (1 paper), Alzheimer's disease research and treatments (1 paper), Problem and Project Based Learning (1 paper), Cardiovascular Effects of Exercise (1 paper), Anatomy and Medical Technology (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Rehabilitation (85 citations), Cancer Research (140 citations), Physiology (156 citations), Molecular Biology (356 citations) and Cardiology and Cardiovascular Medicine (83 citations). Casey L. Egan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Mark A. Febbraio, Tim Petzold, Emma Estévez, Marit Hjorth, William E. Hughes, Martin Whitham, Janne R. Hingst, Erik A. Richter, Martin Friedrichsen and Bente Kiens. Their work appears in journals such as Cell Metabolism, American Journal of Physiology-Endocrinology and Metabolism, Journal of sport and health science, Behavioural Brain Research and The FASEB Journal.

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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