Dong‐Kug Choi

14.9k citations
194 papers · 10.7k indexed · 3 hit papers · h-index 54
Topics
Neuroinflammation and Neurodegeneration Mechanisms (62 papers)Parkinson's Disease Mechanisms and Treatments (29 papers)Medicinal Plants and Neuroprotection (23 papers)

In The Last Decade

Dong‐Kug Choi

194 papers receiving 10.5k citations

Hit Papers

Blockade of Microglial Activation Is Neuroprotective in t...20022026201020182002200320192505007501000

Peers

Dong‐Kug Choi
Comparison fields: 5 of 164
  • Molecular Biology 4.2k
  • Neurology 2.7k
  • Cellular and Molecular Neuroscience 2.2k
  • Neurology 2.2k
  • Physiology 1.6k
Replace Emanuela Esposito with:
Emanuela Esposito Italy
Hideaki Hara Japan
George E. Barreto Colombia
Kalipada Pahan United States
Andrey Y. Abramov United Kingdom
Paula I. Moreira Portugal
Nai‐Hong Chen China
Kyoungho Suk South Korea
Hyoung‐Chun Kim South Korea
Akinori Akaike Japan
Dong‐Kug Choi relative to Emanuela Esposito Italy Emanuela Esposito's profile →
Citations per field
00.5×1.7×
Emanuela Esposito · 1×
Citations per year

Countries citing papers authored by Dong‐Kug Choi

Since Specialization
Citations

This map shows the geographic impact of Dong‐Kug Choi'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 Dong‐Kug Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Kug Choi more than expected).

Fields of papers citing papers by Dong‐Kug Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Kug Choi. 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 Dong‐Kug Choi. The network helps show where Dong‐Kug Choi may publish in the future.

Co-authorship network of co-authors of Dong‐Kug Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Kug Choi. A scholar is included among the top collaborators of Dong‐Kug Choi 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 Dong‐Kug Choi. Dong‐Kug Choi 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 1
2 1
3 5
4 20
5 9
6 1
7 5
8 13
9 19
10 64
11 106
12 6
13 17
14 46
15
Inhibitory Effect of Scutellaria baicalensis Root Extract on Chemical Mediator Release and Immune Response
1
16 142
17 238
18 32
19 9
20 20

About Dong‐Kug Choi

Dong‐Kug Choi is a scholar working on Neurology, Complementary and alternative medicine and Neurology, having authored 194 papers that have together received 10.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (62 papers), Parkinson's Disease Mechanisms and Treatments (29 papers) and Medicinal Plants and Neuroprotection (23 papers). The work is most often cited by research in Neurology (2.7k citations), Biological Psychiatry (391 citations) and Neurology (2.2k citations). Dong‐Kug Choi has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include In‐Su Kim, Sandeep Vasant More, Hemant Kumar, Serge Przedborski, Miquel Vila, Kim Tieu, Peter Teismann, Vernice Jackson‐Lewis, Palanivel Ganesan and Sushruta Koppula. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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