Casey S. John

24 papers receiving 340 citations

Peers

Casey S. John
Comparison fields: 5 of 83
  • Rehabilitation 93
  • Complementary and alternative medicine 43
  • Physiology 105
  • Biochemistry 25
  • Cell Biology 41
Replace Paweł Sutkowy with:
Paweł Sutkowy Poland
Eduardo Piedrafita Spain
Barbara Długołęcka Poland
Yang Wen-ge China
Evan J.H. Lewis Canada
Camila A. Sakaguchi United States
Rie Ishizawa Japan
Jaqueline Barp Brazil
Kurt A. Escobar United States
Lila M. Oyama Brazil
Casey S. John relative to Paweł Sutkowy Poland Paweł Sutkowy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Casey S. John

Since Specialization
Citations

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

Fields of papers citing papers by Casey S. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201495
2 201559
3 201632
4 201930
5 202121
6 202216
7 202214
8 202414
9 20208
10 20218
11 20178
12 20237
13 20237
14 20205
15 20214
16 20253
17 20173
18 20252
19 20232
20 20242

About Casey S. John

Casey S. John is a scholar working on Rehabilitation, Physiology, Complementary and alternative medicine, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 344 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (4 papers), Mitochondrial Function and Pathology (4 papers), Exercise and Physiological Responses (4 papers), Diet and metabolism studies (4 papers), Muscle metabolism and nutrition (3 papers), Adipose Tissue and Metabolism (3 papers), Dementia and Cognitive Impairment Research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Rehabilitation (93 citations), Complementary and alternative medicine (43 citations), Physiology (105 citations), Biochemistry (25 citations) and Cell Biology (41 citations). Casey S. John has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Kevin A. Zwetsloot, R. Andrew Shanely, Marcus M. Lawrence, Rebecca A. Battista, David Christopher Nieman, Jill K. Morris, Mary Pat Meaney, Eric D. Vidoni, Jason Michael Kinchen and Nicholas D. Gillitt. Their work appears in journals such as Alzheimer s & Dementia, Journal of Visualized Experiments, Contemporary Clinical Trials, Journal of Alzheimer s Disease and The Journal of Physiology.

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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