Tae‐Cheon Kang
Impact in
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neuroscience and Neuropharmacology Research 129
- Neuropeptides and Animal Physiology 16
- Neurology 58
- Neuroinflammation and Neurodegeneration Mechanisms 44
- Co-authors
- Ji‐Eun KimMoo Ho WonSoo Young ChoiIn Koo HwangHea Jin RyuOh‐Shin KwonSung‐Eun KwakDae Won Kim
- Journals
- Brain Research (40 papers)Molecules and Cells (15 papers)Neuroscience (12 papers)Antioxidants (11 papers)BMB Reports (10 papers)
- Partner nations
- South KoreaUnited StatesNepal
In The Last Decade
Tae‐Cheon Kang
265 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 126
- Neurology 996
- Cellular and Molecular Neuroscience 1.9k
- Developmental Neuroscience 364
- Physiology 381
- Biological Psychiatry 150
Countries citing papers authored by Tae‐Cheon Kang
This map shows the geographic impact of Tae‐Cheon Kang'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 Tae‐Cheon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae‐Cheon Kang more than expected).
Fields of papers citing papers by Tae‐Cheon Kang
This network shows the impact of papers produced by Tae‐Cheon Kang. 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 Tae‐Cheon Kang. The network helps show where Tae‐Cheon Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tae‐Cheon Kang, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 6 | |
| 6 | 2015 | 8 | |
| 7 | 2012 | 23 | |
| 8 | 2011 | 18 | |
| 9 | 2009 | 15 | |
| 10 | 2007 | 12 | |
| 11 | 2006 | 56 | |
| 12 | 2005 | 9 | |
| 13 | 2005 | 17 | |
| 14 | 2005 | 2 | |
| 15 | 2005 | 33 | |
| 16 | 2004 | 4 | |
| 17 | 2004 | 17 | |
| 18 | 2004 | 35 | |
| 19 | 2003 | 8 | |
| 20 | 2003 | 13 |
About Tae‐Cheon Kang
Tae‐Cheon Kang is a scholar working on Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience, Sensory Systems and Physiology, having authored 271 papers that have together received 5.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (129 papers), Neuroinflammation and Neurodegeneration Mechanisms (44 papers), Ion channel regulation and function (32 papers), Epilepsy research and treatment (29 papers), Neurogenesis and neuroplasticity mechanisms (21 papers), Biochemical effects in animals (18 papers), Mitochondrial Function and Pathology (18 papers) and Neuropeptides and Animal Physiology (16 papers). The work is most often cited by research in Neurology (996 citations), Cellular and Molecular Neuroscience (1.9k citations), Developmental Neuroscience (364 citations), Physiology (381 citations) and Biological Psychiatry (150 citations). Tae‐Cheon Kang has collaborated with scholars based in South Korea, United States and Nepal. Frequent co-authors include Ji‐Eun Kim, Moo Ho Won, Soo Young Choi, In Koo Hwang, Hea Jin Ryu, Oh‐Shin Kwon, Ji‐Eun Kim, Sung‐Eun Kwak, Dae Won Kim and Duk‐Soo Kim. Their work appears in journals such as Brain Research, Molecules and Cells, Neuroscience, Antioxidants and BMB 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.