Junyeon Won

972 citations
37 papers · 612 indexed · h-index 14

Impact in

    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
  • Health top 10%
    • Health disparities and outcomes

Papers in

Junyeon Won

34 papers receiving 602 citations

Peers

Junyeon Won
Comparison fields: 5 of 82
  • Cognitive Neuroscience 219
  • Health 86
  • Neuropsychology and Physiological Psychology 14
  • Clinical Psychology 156
  • Psychiatry and Mental health 102
Replace Daniel D. Callow with:
Daniel D. Callow United States
Hayley Guiney New Zealand
Gabriele Cattaneo Spain
Angelina R. Sutin United States
Matthew Kraybill United States
Nathan Hantke United States
Srikala Bharath India
Anna MacKay‐Brandt United States
Gianpaolo Maggi Italy
Ciro Rosario Ilardi Italy
Junyeon Won relative to Daniel D. Callow United States Daniel D. Callow's profile →
Citations per field
00.5×1.5×
Daniel D. Callow · 1×
Citations per year

Countries citing papers authored by Junyeon Won

Since Specialization
Citations

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

Fields of papers citing papers by Junyeon Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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15 202129
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18 2020227
19 201921
20 201926

About Junyeon Won

Junyeon Won is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 37 papers that have together received 612 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Dementia and Cognitive Impairment Research (9 papers), Heart Rate Variability and Autonomic Control (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Neural and Behavioral Psychology Studies (7 papers), Sleep and related disorders (4 papers), Advanced MRI Techniques and Applications (4 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (219 citations), Health (86 citations), Neuropsychology and Physiological Psychology (14 citations), Clinical Psychology (156 citations) and Psychiatry and Mental health (102 citations). Junyeon Won has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Daniel D. Callow, J. Carson Smith, Gabriel S. Pena, Naomi A. Arnold-Nedimala, Leslie Jordan, John L. Woodard, J. Carson Smith, Alfonso J. Alfini, Lauren R. Weiss and Kristy A. Nielson. Their work appears in journals such as Medicine & Science in Sports & Exercise, Frontiers in Aging Neuroscience, Journal of the International Neuropsychological Society, Scientific Reports and Neuroscience & Biobehavioral Reviews.

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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2026