Woojin S. Kim

6.2k citations
121 papers · 4.7k indexed · 1 hit paper · h-index 38
Topics
Alzheimer's disease research and treatments (39 papers)Parkinson's Disease Mechanisms and Treatments (38 papers)Cholesterol and Lipid Metabolism (23 papers)

In The Last Decade

Woojin S. Kim

115 papers receiving 4.6k citations

Hit Papers

Reduced glucocerebrosidase is associated with increased α...20142026201820222014100200300

Peers

Woojin S. Kim
Comparison fields: 5 of 130
  • Molecular Biology 1.9k
  • Physiology 1.8k
  • Neurology 1.5k
  • Surgery 791
  • Cellular and Molecular Neuroscience 712
Replace Xin Yu with:
Xin Yu China
Shaida A. Andrabi United States
Kunikazu Tanji Japan
Berta Puig Spain
Jordi Magrané United States
Bobby Thomas United States
Wongi Seol South Korea
George R. Jackson United States
Tito Calí Italy
Efrat Levy United States
Woojin S. Kim relative to Xin Yu China Xin Yu's profile →
Citations per field
00.5×8.2×
Xin Yu · 1×
Citations per year

Countries citing papers authored by Woojin S. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Woojin S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woojin S. 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 Woojin S. Kim. The network helps show where Woojin S. Kim may publish in the future.

Co-authorship network of co-authors of Woojin S. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Woojin S. Kim. A scholar is included among the top collaborators of Woojin S. Kim 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 Woojin S. Kim. Woojin S. Kim 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
#WorkIndexed citations
1 3
2 0
3 1
4 1
5 1
6 10
7 9
8 5
9 8
10 2
11 10
12 31
13 12
14 18
15 5
16 16
17 11
18 49
19 17
20 155

About Woojin S. Kim

Woojin S. Kim is a scholar working on Neurology, Neurology and Physiology, having authored 121 papers that have together received 4.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (39 papers), Parkinson's Disease Mechanisms and Treatments (38 papers) and Cholesterol and Lipid Metabolism (23 papers). The work is most often cited by research in Neurology (1.5k citations), Neurology (680 citations) and Physiology (1.8k citations). Woojin S. Kim has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Glenda M. Halliday, Brett Garner, Noel W. Dunn, Katarina Kågedal, Cynthia Shannon Weickert, Elias N. Glaros, John B. Kwok, YuHong Fu, Jen-Hsiang T. Hsiao and Gilles J. Guillemin. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

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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