Geum-Sil Cho
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 2
-
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Intracerebral and Subarachnoid Hemorrhage Research 2
- Co-authors
- Won-Ki Kim (11 shared papers)Jae‐Chul Lee (7 shared papers)Sun‐Young Hwang (5 shared papers)Chung Ju (6 shared papers)In Young Choi (3 shared papers)Ji Hyae Lim (3 shared papers)Hyoung‐Chun Kim (2 shared papers)Lak Shin Jeong (1 shared paper)
- Journals
- Free Radical Research (2 papers)Journal of the Neurological Sciences (2 papers)The Journal of Immunology (1 paper)Neurochemical Research (1 paper)Neuroscience Research (1 paper)
- Partner nations
- South KoreaJapanChina
In The Last Decade
Geum-Sil Cho
14 papers receiving 379 citations
Peers
Comparison fields: 5 of 82
- Neurology 129
- Physiology 47
- Developmental Neuroscience 38
- Complementary and alternative medicine 35
- Biological Psychiatry 10
Countries citing papers authored by Geum-Sil Cho
This map shows the geographic impact of Geum-Sil Cho'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 Geum-Sil Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geum-Sil Cho more than expected).
Fields of papers citing papers by Geum-Sil Cho
This network shows the impact of papers produced by Geum-Sil Cho. 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 Geum-Sil Cho. The network helps show where Geum-Sil Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Geum-Sil Cho, 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 | 2010 | 67 | |
| 2 | 2011 | 67 | |
| 3 | 2010 | 42 | |
| 4 | 2014 | 37 | |
| 5 | 2011 | 34 | |
| 6 | 2012 | 32 | |
| 7 | 2016 | 18 | |
| 8 | 2009 | 16 | |
| 9 | 2013 | 16 | |
| 10 | 2012 | 16 | |
| 11 | 2015 | 12 | |
| 12 | 2015 | 10 | |
| 13 | 2005 | 9 | |
| 14 | 2012 | 8 |
About Geum-Sil Cho
Geum-Sil Cho is a scholar working on Molecular Biology, Neurology, Pharmacology, Cellular and Molecular Neuroscience and Neurology, having authored 14 papers that have together received 384 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Immune Response and Inflammation (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Traditional and Medicinal Uses of Annonaceae (1 paper). The work is most often cited by research in Neurology (129 citations), Physiology (47 citations), Developmental Neuroscience (38 citations), Complementary and alternative medicine (35 citations) and Biological Psychiatry (10 citations). Geum-Sil Cho has collaborated with scholars based in South Korea, Japan and China. Frequent co-authors include Won-Ki Kim, Jae‐Chul Lee, Sun‐Young Hwang, Chung Ju, In Young Choi, Ji Hyae Lim, Hyoung‐Chun Kim, Lak Shin Jeong, Bing Chun Yan and Hyuk Woo Lee. Their work appears in journals such as Free Radical Research, Journal of the Neurological Sciences, The Journal of Immunology, Neurochemical Research and Neuroscience Research.
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.