Ki-Hyun Cho
- Psychiatry and Mental health top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Rehabilitation top 2%
- Neurology top 5%
- Epidemiology
- Co-authors
- Man‐Seok ParkJae‐Min KimSung‐Wan KimHee‐Ju KangIl‐Seon ShinJin‐Sang YoonKyung‐Yeol BaeRobert Stewart
- Topics
- Animal Disease Management and Epidemiology (16 papers)Vector-Borne Animal Diseases (15 papers)Viral Infections and Immunology Research (13 papers)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Ki-Hyun Cho
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Psychiatry and Mental health 274
- Cardiology and Cardiovascular Medicine 257
- Rehabilitation 244
- Neurology 240
- Epidemiology 228
Countries citing papers authored by Ki-Hyun Cho
This map shows the geographic impact of Ki-Hyun Cho'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 Ki-Hyun Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki-Hyun Cho more than expected).
Fields of papers citing papers by Ki-Hyun Cho
This network shows the impact of papers produced by Ki-Hyun Cho. 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 Ki-Hyun Cho. The network helps show where Ki-Hyun Cho may publish in the future.
Co-authorship network of co-authors of Ki-Hyun Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Ki-Hyun Cho. A scholar is included among the top collaborators of Ki-Hyun Cho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ki-Hyun Cho. Ki-Hyun Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 28 | |
| 13 | 73 | |
| 14 | 15 | |
| 15 | 60 | |
| 16 | 60 | |
| 17 | 57 | |
| 18 | Relationships of Apolipoprotein E Genotypes with Vascular Risk Factors in Patients with Alzheimer's Disease | 1 |
| 19 | Trends in Public Attitudes toward Epilepsy among Chonnam Rural Areas. | 1 |
| 20 | The Temporospatial Distribution of Glutamate Receptors and the Effect of MK-801 on Glutamate Receptors Activation in Kainate-induced Seizure Model; Quantitative Receptor Autoradiography of Ionotropic Glutamate Receptors | 0 |
About Ki-Hyun Cho
Ki-Hyun Cho is a scholar working on Biological Psychiatry, Agronomy and Crop Science and Rehabilitation, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (16 papers), Vector-Borne Animal Diseases (15 papers) and Viral Infections and Immunology Research (13 papers). The work is most often cited by research in Biological Psychiatry (178 citations), Rehabilitation (244 citations) and Neurology (240 citations). Ki-Hyun Cho has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Man‐Seok Park, Jae‐Min Kim, Sung‐Wan Kim, Hee‐Ju Kang, Il‐Seon Shin, Jin‐Sang Yoon, Kyung‐Yeol Bae, Robert Stewart, Byeong C. Kim and Myeong‐Kyu Kim. Their work appears in journals such as PLoS ONE, Journal of Cerebral Blood Flow & Metabolism and Journal of Affective Disorders.
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.