Ji Won Yeom
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
-
- Digital Mental Health Interventions
Papers in
-
- Mental Health Research Topics 7
- Sleep and related disorders 7
-
- Circadian rhythm and melatonin 6
- Co-authors
- Heon‐Jeong Lee (26 shared papers)Chul‐Hyun Cho (22 shared papers)Taek Lee (8 shared papers)Sehyun Jeon (8 shared papers)Jae Kyoung Kim (2 shared papers)Dong Yeon Park (5 shared papers)Se Joo Kim (5 shared papers)Boseok Cha (5 shared papers)
- Journals
- Journal of Affective Disorders (2 papers)Journal of Medical Internet Research (1 paper)Depression and Anxiety (1 paper)Psychological Medicine (1 paper)Brain and Behavior (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Ji Won Yeom
24 papers receiving 212 citations
Peers
Comparison fields: 5 of 47
- Endocrine and Autonomic Systems 47
- Applied Psychology 30
- Experimental and Cognitive Psychology 71
- Biological Psychiatry 8
- Psychiatry and Mental health 29
Countries citing papers authored by Ji Won Yeom
This map shows the geographic impact of Ji Won Yeom'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 Ji Won Yeom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Won Yeom more than expected).
Fields of papers citing papers by Ji Won Yeom
This network shows the impact of papers produced by Ji Won Yeom. 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 Ji Won Yeom. The network helps show where Ji Won Yeom may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Won Yeom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 43 | |
| 2 | 2024 | 28 | |
| 3 | 2024 | 22 | |
| 4 | 2013 | 18 | |
| 5 | 2020 | 13 | |
| 6 | 2024 | 12 | |
| 7 | 2021 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Ji Won Yeom
Ji Won Yeom is a scholar working on Experimental and Cognitive Psychology, Endocrine and Autonomic Systems, Cognitive Neuroscience, Applied Psychology and Psychiatry and Mental health, having authored 28 papers that have together received 221 indexed citations. Recurring topics across this work include Mental Health Research Topics (7 papers), Sleep and related disorders (7 papers), Circadian rhythm and melatonin (6 papers), Digital Mental Health Interventions (4 papers), Sleep and Wakefulness Research (3 papers), Restless Legs Syndrome Research (2 papers), Bipolar Disorder and Treatment (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (47 citations), Applied Psychology (30 citations), Experimental and Cognitive Psychology (71 citations), Biological Psychiatry (8 citations) and Psychiatry and Mental health (29 citations). Ji Won Yeom has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Heon‐Jeong Lee, Chul‐Hyun Cho, Taek Lee, Sehyun Jeon, Jae Kyoung Kim, Dong Yeon Park, Se Joo Kim, Boseok Cha, Tae Hyon Ha and Eunsoo Moon. Their work appears in journals such as Journal of Affective Disorders, Journal of Medical Internet Research, Depression and Anxiety, Psychological Medicine and Brain and Behavior.
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.