Chae Kim

1.2k citations
25 papers · 953 · h-index 16

Impact in

  • Neurology top 5%
    • Neurological diseases and metabolism
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

    • Neurological diseases and metabolism 7
    • Alzheimer's disease research and treatments 10

Chae Kim

23 papers receiving 941 citations

Peers

Chae Kim
Comparison fields: 5 of 76
  • Neurology 326
  • Physiology 421
  • Nutrition and Dietetics 162
  • Molecular Biology 709
  • Biological Psychiatry 19
Replace Tracy Haldiman with:
Tracy Haldiman United States
Declan King United Kingdom
Emmanuel Risse United Kingdom
Michela Mangieri Italy
Franziska Langer Germany
Erin E. Coffey United States
Raffaella Capobianco Italy
Mark A. Farrow United Kingdom
Pierluigi Gambetti United States
Andrew Dickinson United Kingdom
Chae Kim relative to Tracy Haldiman United States Tracy Haldiman's profile →
Citations per field
00.5×1.5×
Tracy Haldiman · 1×
Citations per year

Countries citing papers authored by Chae Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chae Kim Line = papers co-authored together Chae Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017177
2 2015167
3 201271
4 201167
5 201460
6 202046
7 201545
8 201344
9 202239
10 201535
11 201835
12 202033
13 202130
14 201529
15 201825
16 202022
17 20219
18 20248
19 20244
20 20233

About Chae Kim

Chae Kim is a scholar working on Neurology, Physiology, Molecular Biology, Nutrition and Dietetics and Psychiatry and Mental health, having authored 25 papers that have together received 953 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (19 papers), Alzheimer's disease research and treatments (10 papers), Neurological diseases and metabolism (7 papers), Trace Elements in Health (4 papers), 14-3-3 protein interactions (1 paper), Multi-Agent Systems and Negotiation (1 paper), Bioinformatics and Genomic Networks (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (326 citations), Physiology (421 citations), Nutrition and Dietetics (162 citations), Molecular Biology (709 citations) and Biological Psychiatry (19 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 E. Blevins, Qingzhong Kong, Thomas Wısnıewskı, Witold K. Surewicz, David A. Westaway and Glenn C. Telling. Their work appears in journals such as PLoS Pathogens, Journal of Biological Chemistry, Acta Neuropathologica, Alzheimer s & Dementia and Neurology.

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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