Gab Seok Kim
- Molecular Biology top 10%
- Neurology top 0.5%
- Immunology top 10%
- Physiology top 10%
- Epidemiology top 10%
- Co-authors
- Pak H. ChanJoo Eun JungPurnima NarasimhanNobuya OkamiHideyuki YoshiokaHiroyuki SakataHailan ChenKuniyasu Niizuma
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (15 papers)Mitochondrial Function and Pathology (6 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Gab Seok Kim
28 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.1k
- Neurology 943
- Immunology 341
- Physiology 333
- Epidemiology 268
Countries citing papers authored by Gab Seok Kim
This map shows the geographic impact of Gab Seok 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 Gab Seok Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gab Seok Kim more than expected).
Fields of papers citing papers by Gab Seok Kim
This network shows the impact of papers produced by Gab Seok 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 Gab Seok Kim. The network helps show where Gab Seok Kim may publish in the future.
Co-authorship network of co-authors of Gab Seok Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Gab Seok Kim. A scholar is included among the top collaborators of Gab Seok 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 Gab Seok Kim. Gab Seok 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 | 10 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 33 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 128 | |
| 9 | 25 | |
| 10 | 147 | |
| 11 | 56 | |
| 12 | 105 | |
| 13 | Oxidative Stress in Ischemic Brain Damage: Mechanisms of Cell Death and Potential Molecular Targets for Neuroprotectionbreakdown → | 649 |
| 14 | 216 | |
| 15 | 85 | |
| 16 | 132 | |
| 17 | 301 | |
| 18 | 65 | |
| 19 | 9 | |
| 20 | 29 |
About Gab Seok Kim
Gab Seok Kim is a scholar working on Neurology, Developmental Neuroscience and Immunology, having authored 29 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (15 papers), Mitochondrial Function and Pathology (6 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers). The work is most often cited by research in Neurology (943 citations), Developmental Neuroscience (207 citations) and Complementary and alternative medicine (172 citations). Gab Seok Kim has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Pak H. Chan, Joo Eun Jung, Purnima Narasimhan, Nobuya Okami, Hideyuki Yoshioka, Hiroyuki Sakata, Hailan Chen, Kuniyasu Niizuma, Carolina M. Maier and Masataka Katsu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.