Chee Yeun Chung

3.0k total citations
20 papers, 1.4k citations indexed

About

Chee Yeun Chung is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Chee Yeun Chung has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 13 papers in Cellular and Molecular Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Chee Yeun Chung's work include Parkinson's Disease Mechanisms and Treatments (15 papers), Nerve injury and regeneration (6 papers) and Pluripotent Stem Cells Research (4 papers). Chee Yeun Chung is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (15 papers), Nerve injury and regeneration (6 papers) and Pluripotent Stem Cells Research (4 papers). Chee Yeun Chung collaborates with scholars based in United States, Italy and Switzerland. Chee Yeun Chung's co-authors include Ole Isacson, James B. Koprich, Hasan K. Siddiqi, Susan Lindquist, Kai‐Christian Sonntag, Ling Lin, Andrew I. Brooks, Hyemyung Seo, Vikram Khurana and Daniel F. Tardiff and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Chee Yeun Chung

19 papers receiving 1.4k citations

Peers

Chee Yeun Chung
Comparison fields: 5 of 82
  • Neurology 678
  • Cellular and Molecular Neuroscience 656
  • Molecular Biology 632
  • Physiology 282
  • Cell Biology 213
Replace Talene A. Yacoubian with:
Talene A. Yacoubian United States
Gilbert Gallardo United States
Francesca Longhena Italy
Amber D. Van Laar United States
Ivette M. Sandoval United States
Florian Giesert Germany
Karine Parain France
Houbo Jiang United States
Justus C. Dächsel United States
Yasuhiro Kawamoto Japan
Talene A. Yacoubian United States View profile →
Citations per field, relative to Chee Yeun Chung
Chee Yeun Chung · 1×
Citations per year, relative to Chee Yeun Chung
Chee Yeun Chung · 1×

Countries citing papers authored by Chee Yeun Chung

Since Specialization
Citations

This map shows the geographic impact of Chee Yeun Chung'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 Chee Yeun Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee Yeun Chung more than expected).

Fields of papers citing papers by Chee Yeun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Yeun Chung. 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 Chee Yeun Chung. The network helps show where Chee Yeun Chung may publish in the future.

Co-authorship network of co-authors of Chee Yeun Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Chee Yeun Chung. A scholar is included among the top collaborators of Chee Yeun Chung 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 Chee Yeun Chung. Chee Yeun Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 29
2 6
3 11
4 0
5 18
6 102
7 84
8 31
9 49
10 98
11 25
12 200
13
Yeast Reveal a ‘Druggable’ Rsp5/Nedd4 Network That Ameliorates α-Synuclein Toxicity in Neurons
2
14 45
15 16
16 317
17 45
18 31
19 283
20 10

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026