Casey S. John

432 citations
26 papers · 296 · h-index 8

Impact in

Papers in

    • Diet and metabolism studies 8
    • Alzheimer's disease research and treatments 5
    • Exercise and Physiological Responses 4

Casey S. John

22 papers receiving 289 citations

Peers

Casey S. John
Comparison fields: 5 of 87
  • Rehabilitation 98
  • Complementary and alternative medicine 50
  • Physiology 127
  • Biochemistry 25
  • Cell Biology 48
Replace Camila A. Sakaguchi with:
Camila A. Sakaguchi United States
Barbara Długołęcka Poland
Laura Blancquaert Belgium
Jaqueline Barp Brazil
Beatriz de la Puente Spain
Brian Leutholtz United States
Fabiana S. Evangelista Brazil
Hyun Seok Bang South Korea
Henver S. Brunetta Brazil
Rick J. Alleman United States
Casey S. John relative to Camila A. Sakaguchi United States Camila A. Sakaguchi's profile →
Citations per field
00.5×2.9×
Camila A. Sakaguchi · 1×
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201493
2 201555
3 201627
4 201926
5 202115
6 202214
7 202213
8 20178
9 20237
10 20207
11 20246
12 20215
13 20205
14 20233
15 20173
16 20213
17 20241
18 20251
19 20231
20 20171

About Casey S. John

Casey S. John is a scholar working on Physiology, Rehabilitation, Molecular Biology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 26 papers that have together received 296 indexed citations. Recurring topics across this work include Diet and metabolism studies (8 papers), Alzheimer's disease research and treatments (5 papers), Exercise and Physiological Responses (4 papers), Mitochondrial Function and Pathology (4 papers), Cardiovascular and exercise physiology (4 papers), Dementia and Cognitive Impairment Research (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Rehabilitation (98 citations), Complementary and alternative medicine (50 citations), Physiology (127 citations), Biochemistry (25 citations) and Cell Biology (48 citations). Casey S. John has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Kevin A. Zwetsloot, R. Andrew Shanely, Marcus M. Lawrence, Rebecca A. Battista, David C. Nieman, Mary Pat Meaney, Jill K. Morris, Wei Sha, Kirk L. Pappan and Jason M. Kinchen. Their work appears in journals such as Alzheimer s & Dementia, Contemporary Clinical Trials, Journal of Visualized Experiments, Journal of Alzheimer s Disease and Scientific Reports.

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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