Jun Wan Shin

27 total papers · 709 total citations
14 papers, 472 citations indexed

About

Jun Wan Shin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Wan Shin has authored 14 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Wan Shin's work include Genetic Neurodegenerative Diseases (10 papers), Mitochondrial Function and Pathology (6 papers) and CRISPR and Genetic Engineering (6 papers). Jun Wan Shin is often cited by papers focused on Genetic Neurodegenerative Diseases (10 papers), Mitochondrial Function and Pathology (6 papers) and CRISPR and Genetic Engineering (6 papers). Jun Wan Shin collaborates with scholars based in United States, South Korea and Germany. Jun Wan Shin's co-authors include Jong‐Min Lee, Kyung‐Hee Kim, Tammy Gillis, James F. Gusella, Marcy E. MacDonald, Michael J. Chao, Ranjit Singh Atwal, Young‐Joon Surh, Su‐Jung Kim and Kyung‐Soo Chun and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Journal of Human Genetics.

In The Last Decade

Jun Wan Shin

13 papers receiving 465 citations

Author Peers

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

Author Last Decade Papers Cites
Jun Wan Shin 378 187 52 46 34 14 472
Kamatham Pushpa Tryphena 300 0.8× 79 0.4× 29 0.6× 150 3.3× 13 0.4× 21 515
Barbara Bonamassa 260 0.7× 19 0.1× 52 1.0× 28 0.6× 8 0.2× 17 461
Jiao Huang 343 0.9× 19 0.1× 172 3.3× 26 0.6× 5 0.1× 28 476
Shadia E. Nada 224 0.6× 60 0.3× 38 0.7× 31 0.7× 20 0.6× 21 541
F. Alexandra Loucks 301 0.8× 61 0.3× 23 0.4× 34 0.7× 7 0.2× 12 534
Lígia Fão 263 0.7× 69 0.4× 11 0.2× 55 1.2× 11 0.3× 10 405
William M.W. Cheung 381 1.0× 92 0.5× 64 1.2× 26 0.6× 4 0.1× 20 534
Yannick Tanguy 174 0.5× 86 0.5× 62 1.2× 17 0.4× 6 0.2× 10 519
Meenu Madan 307 0.8× 109 0.6× 28 0.5× 36 0.8× 5 0.1× 16 498
V Kumar 165 0.4× 126 0.7× 42 0.8× 85 1.8× 4 0.1× 24 542

Countries citing papers authored by Jun Wan Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wan Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Wan Shin. 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 Jun Wan Shin. The network helps show where Jun Wan Shin may publish in the future.

Co-authorship network of co-authors of Jun Wan Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wan Shin. A scholar is included among the top collaborators of Jun Wan Shin 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 Jun Wan Shin. Jun Wan Shin 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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