Hyoung-Ihl Kim
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Physiology
- Neurology top 10%
- Co-authors
- Pedro Rosa‐NetoSerge GauthierMaxime ParentLuc PellerinClotilde LecruxÉdith HamelDébora Guerini de SouzaEduardo R. Zimmer
- Topics
- Transcranial Magnetic Stimulation Studies (14 papers)Neuroscience and Neural Engineering (11 papers)EEG and Brain-Computer Interfaces (9 papers)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Hyoung-Ihl Kim
48 papers receiving 720 citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 252
- Neurology 237
- Cognitive Neuroscience 155
- Physiology 126
- Neurology 113
Countries citing papers authored by Hyoung-Ihl Kim
This map shows the geographic impact of Hyoung-Ihl Kim'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 Hyoung-Ihl Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyoung-Ihl Kim more than expected).
Fields of papers citing papers by Hyoung-Ihl Kim
This network shows the impact of papers produced by Hyoung-Ihl Kim. 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 Hyoung-Ihl Kim. The network helps show where Hyoung-Ihl Kim may publish in the future.
Co-authorship network of co-authors of Hyoung-Ihl Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyoung-Ihl Kim. A scholar is included among the top collaborators of Hyoung-Ihl Kim 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 Hyoung-Ihl Kim. Hyoung-Ihl Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 228 | |
| 8 | 7 | |
| 9 | 27 | |
| 10 | 7 | |
| 11 | 28 | |
| 12 | 18 | |
| 13 | 11 | |
| 14 | 20 | |
| 15 | 9 | |
| 16 | Effect of Cerebral Motor Cortex Stimulation in Amyotrophic Lateral Sclerosis Model: A Preliminary Controlled Study | 1 |
| 17 | 14 | |
| 18 | Promotion of Motor Recovery by Anodal Continuous and Low Amplitude Cortical Stimulation in Rat Stroke Model | 5 |
| 19 | Chronological Changes in Cerebral Infarction of Photochemical Thrombosis Model: Magnetic Resonance Imaging and Histopathological Correlation | 5 |
| 20 | 18 |
About Hyoung-Ihl Kim
Hyoung-Ihl Kim is a scholar working on Neurology, Cellular and Molecular Neuroscience and Rehabilitation, having authored 48 papers that have together received 730 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (14 papers), Neuroscience and Neural Engineering (11 papers) and EEG and Brain-Computer Interfaces (9 papers). The work is most often cited by research in Neurology (237 citations), Cellular and Molecular Neuroscience (252 citations) and Developmental Neuroscience (38 citations). Hyoung-Ihl Kim has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Pedro Rosa‐Neto, Serge Gauthier, Maxime Parent, Luc Pellerin, Clotilde Lecrux, Édith Hamel, Débora Guerini de Souza, Eduardo R. Zimmer, Antoine Leuzy and Sung Chan Jun. Their work appears in journals such as Nature Neuroscience, PLoS ONE 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.