Kanghwan Kim
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- EEG and Brain-Computer Interfaces
Papers in
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- Neuroscience and Neural Engineering 12
- Photoreceptor and optogenetics research 12
- Neuroscience and Neuropharmacology Research 3
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- Neural dynamics and brain function 8
- Memory and Neural Mechanisms 1
- Co-authors
- György BuzsákiEuisik YoonSam McKenzieDaniel F. EnglishTalfan EvansJohn P. SeymourKensall D. WiseMihály Vöröslakos
- Journals
- Advanced Science (4 papers)Nature Communications (2 papers)Neuron (2 papers)Biosensors and Bioelectronics (1 paper)Lab on a Chip (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Kanghwan Kim
16 papers receiving 500 citations
Peers
Comparison fields: 5 of 64
- Cellular and Molecular Neuroscience 408
- Cognitive Neuroscience 322
- Neurology 26
- Developmental Neuroscience 11
- Electrical and Electronic Engineering 105
Countries citing papers authored by Kanghwan Kim
This map shows the geographic impact of Kanghwan 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 Kanghwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanghwan Kim more than expected).
Fields of papers citing papers by Kanghwan Kim
This network shows the impact of papers produced by Kanghwan 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 Kanghwan Kim. The network helps show where Kanghwan Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kanghwan Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 43 | |
| 2 | 2022 | 34 | |
| 3 | 2022 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 72 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 103 | |
| 11 | 2019 | 0 | |
| 12 | 2018 | 23 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 166 | |
| 15 | 2017 | 6 | |
| 16 | 2014 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 2013 | 3 |
About Kanghwan Kim
Kanghwan Kim is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Aerospace Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 18 papers that have together received 509 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (12 papers), Photoreceptor and optogenetics research (12 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Memory and Neural Computing (2 papers), Energy Harvesting in Wireless Networks (2 papers), Memory and Neural Mechanisms (1 paper) and Antenna Design and Analysis (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (408 citations), Cognitive Neuroscience (322 citations), Neurology (26 citations), Developmental Neuroscience (11 citations) and Electrical and Electronic Engineering (105 citations). Kanghwan Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include György Buzsáki, Euisik Yoon, Sam McKenzie, Daniel F. English, Talfan Evans, John P. Seymour, Kensall D. Wise, Mihály Vöröslakos, Roman Huszár and Il‐Joo Cho. Their work appears in journals such as Advanced Science, Nature Communications, Neuron, Biosensors and Bioelectronics and Lab on a Chip.
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.