Tae-Cheon Kang

776 citations
35 papers · 685 indexed · h-index 15
Topics
Neuroscience and Neuropharmacology Research (14 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)
Partner nations
South KoreaChinaJapan

In The Last Decade

Tae-Cheon Kang

34 papers receiving 676 citations

Peers

Tae-Cheon Kang
Comparison fields: 5 of 101
  • Molecular Biology 301
  • Cellular and Molecular Neuroscience 247
  • Neurology 102
  • Physiology 98
  • Developmental Neuroscience 65
Replace Sandeep K. Agrawal with:
Sandeep K. Agrawal United States
Christopher D. Toscano United States
Huanhuan Yan China
Mehrdad Jahanshahi Iran
Tatiana Adasme Chile
Fabiano Mendes de Córdova Brazil
Alexander Mdzinarishvili United States
Manuel J. Bández Spain
Debra A. Gearhart United States
Seyed Shahabeddin Sadr Iran
Tae-Cheon Kang relative to Sandeep K. Agrawal United States Sandeep K. Agrawal's profile →
Citations per field
00.5×1.5×
Sandeep K. Agrawal · 1×
Citations per year

Countries citing papers authored by Tae-Cheon Kang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tae-Cheon Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Cheon Kang. A scholar is included among the top collaborators of Tae-Cheon Kang 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 Tae-Cheon Kang. Tae-Cheon Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 13
3 7
4 2
5 45
6 10
7 17
8 10
9 10
10 9
11 12
12 11
13 14
14 9
15 41
16 6
17 17
18 40
19 89
20 5

About Tae-Cheon Kang

Tae-Cheon Kang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 35 papers that have together received 685 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (65 citations), Cellular and Molecular Neuroscience (247 citations) and Neurology (102 citations). Tae-Cheon Kang has collaborated with scholars based in South Korea, China and Japan. Frequent co-authors include Moo Ho Won, In Koo Hwang, Soo Young Choi, Hyeok Yil Kwon, Ki‐Yeon Yoo, Sung Jin An, Yong‐Sun Kim, Young‐Guen Kwon, Oh‐Shin Kwon and Jung Hoon Kang. Their work appears in journals such as Brain Research, FEBS Letters and Free Radical Biology and Medicine.

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.

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