Chae Kim
Impact in
- Neurology top 5%
- Neurological diseases and metabolism
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Prion Diseases and Protein Misfolding 17
- S100 Proteins and Annexins 1
- 14-3-3 protein interactions 1
-
- Alzheimer's disease research and treatments 8
- Co-authors
- Jiri Safar (22 shared papers)Tracy Haldiman (18 shared papers)Mark L. Cohen (11 shared papers)Yvonne Cohen (4 shared papers)Janis Blevins (3 shared papers)Witold K. Surewicz (4 shared papers)Qingzhong Kong (4 shared papers)Glenn C. Telling (3 shared papers)
- Journals
- Acta Neuropathologica (4 papers)Journal of Biological Chemistry (4 papers)PLoS Pathogens (4 papers)Alzheimer s & Dementia (2 papers)EMBO Molecular Medicine (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Chae Kim
21 papers receiving 738 citations
Peers
Comparison fields: 5 of 66
- Neurology 282
- Physiology 271
- Nutrition and Dietetics 150
- Molecular Biology 575
- Biological Psychiatry 13
Countries citing papers authored by Chae Kim
This map shows the geographic impact of Chae 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 Chae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chae Kim more than expected).
Fields of papers citing papers by Chae Kim
This network shows the impact of papers produced by Chae 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 Chae Kim. The network helps show where Chae Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chae Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 163 | |
| 2 | 2012 | 69 | |
| 3 | 2011 | 65 | |
| 4 | 2014 | 59 | |
| 5 | 2015 | 45 | |
| 6 | 2013 | 43 | |
| 7 | 2020 | 42 | |
| 8 | 2022 | 36 | |
| 9 | 2015 | 35 | |
| 10 | 2018 | 34 | |
| 11 | 2020 | 32 | |
| 12 | 2015 | 28 | |
| 13 | 2021 | 28 | |
| 14 | 2018 | 25 | |
| 15 | 2020 | 18 | |
| 16 | 2021 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Chae Kim
Chae Kim is a scholar working on Molecular Biology, Physiology, Neurology, Nutrition and Dietetics and Infectious Diseases, having authored 24 papers that have together received 744 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (17 papers), Alzheimer's disease research and treatments (8 papers), Neurological diseases and metabolism (7 papers), Trace Elements in Health (4 papers), S100 Proteins and Annexins (1 paper), Biochemical Acid Research Studies (1 paper), 14-3-3 protein interactions (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Neurology (282 citations), Physiology (271 citations), Nutrition and Dietetics (150 citations), Molecular Biology (575 citations) and Biological Psychiatry (13 citations). Chae Kim has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jiri Safar, Tracy Haldiman, Mark L. Cohen, Yvonne Cohen, Janis Blevins, Witold K. Surewicz, Qingzhong Kong, Glenn C. Telling, David Westaway and Man‐Sun Sy. Their work appears in journals such as Acta Neuropathologica, Journal of Biological Chemistry, PLoS Pathogens, Alzheimer s & Dementia and EMBO Molecular 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.