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 18
- 14-3-3 protein interactions 1
-
- Neurological diseases and metabolism 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)Qingzhong Kong (4 shared papers)Witold K. Surewicz (4 shared papers)David Westaway (6 shared papers)
- Journals
- PLoS Pathogens (4 papers)Journal of Biological Chemistry (4 papers)Acta Neuropathologica (4 papers)Alzheimer s & Dementia (2 papers)Science Translational Medicine (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Chae Kim
20 papers receiving 691 citations
Peers
Comparison fields: 5 of 64
- Neurology 279
- Physiology 288
- Nutrition and Dietetics 138
- Molecular Biology 569
- 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 156 | |
| 2 | 2012 | 66 | |
| 3 | 2011 | 61 | |
| 4 | 2014 | 59 | |
| 5 | 2015 | 44 | |
| 6 | 2013 | 41 | |
| 7 | 2020 | 39 | |
| 8 | 2015 | 34 | |
| 9 | 2022 | 33 | |
| 10 | 2018 | 31 | |
| 11 | 2020 | 28 | |
| 12 | 2015 | 27 | |
| 13 | 2021 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2020 | 14 | |
| 16 | 2021 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2014 | 1 |
About Chae Kim
Chae Kim is a scholar working on Molecular Biology, Neurology, Physiology, Nutrition and Dietetics and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 698 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (18 papers), Neurological diseases and metabolism (8 papers), Alzheimer's disease research and treatments (8 papers), Trace Elements in Health (4 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Electrolyte and hormonal disorders (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Neurology (279 citations), Physiology (288 citations), Nutrition and Dietetics (138 citations), Molecular Biology (569 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, Qingzhong Kong, Witold K. Surewicz, David Westaway, Thomas Wısnıewskı and Man‐Sun Sy. Their work appears in journals such as PLoS Pathogens, Journal of Biological Chemistry, Acta Neuropathologica, Alzheimer s & Dementia and Science Translational 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.