Woojin S. Kim

138 total papers · 6.1k total citations
121 papers, 4.6k citations indexed

About

Woojin S. Kim is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Woojin S. Kim has authored 121 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 52 papers in Physiology and 49 papers in Neurology. Recurrent topics in Woojin S. Kim's 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). Woojin S. Kim is often cited by papers focused on Alzheimer's disease research and treatments (39 papers), Parkinson's Disease Mechanisms and Treatments (38 papers) and Cholesterol and Lipid Metabolism (23 papers). Woojin S. Kim collaborates with scholars based in Australia, United States and China. Woojin S. Kim's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Woojin S. Kim

113 papers receiving 4.5k citations

Hit Papers

Reduced glucocerebrosidas... 2014 2026 2018 2022 2014 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Woojin S. Kim 1.9k 1.8k 1.4k 790 705 121 4.6k
Shigeo Nakajo 3.2k 1.7× 1.5k 0.8× 2.5k 1.7× 303 0.4× 2.2k 3.1× 127 7.1k
Nils J. Færgeman 4.3k 2.2× 1.2k 0.7× 349 0.2× 412 0.5× 481 0.7× 130 6.6k
Kazuhiro Tsuruma 2.6k 1.3× 585 0.3× 632 0.4× 189 0.2× 631 0.9× 166 5.8k
Kazuyasu Nakaya 3.3k 1.7× 968 0.6× 1.6k 1.1× 133 0.2× 1.2k 1.7× 170 6.2k
Zezong Gu 3.3k 1.7× 1.8k 1.0× 837 0.6× 207 0.3× 789 1.1× 74 6.2k
Maria Spatz 2.0k 1.0× 1.3k 0.7× 897 0.6× 226 0.3× 1.7k 2.4× 185 6.4k
Koji Aoyama 1.6k 0.8× 565 0.3× 403 0.3× 843 1.1× 734 1.0× 109 4.8k
Shinji Saiki 3.2k 1.7× 1.2k 0.7× 2.0k 1.4× 531 0.7× 1.2k 1.7× 138 7.2k
Makoto Michikawa 2.8k 1.5× 3.1k 1.8× 322 0.2× 1.0k 1.3× 864 1.2× 155 6.2k
Weiming Fu 3.9k 2.0× 1.7k 1.0× 352 0.2× 256 0.3× 937 1.3× 91 6.4k

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

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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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