Seok‐Kyu Kwon

45 total papers · 3.7k total citations
33 papers, 2.6k citations indexed

About

Seok‐Kyu Kwon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Seok‐Kyu Kwon has authored 33 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 7 papers in Genetics. Recurrent topics in Seok‐Kyu Kwon's work include Neuroscience and Neuropharmacology Research (13 papers), Mitochondrial Function and Pathology (10 papers) and Genetics and Neurodevelopmental Disorders (7 papers). Seok‐Kyu Kwon is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Mitochondrial Function and Pathology (10 papers) and Genetics and Neurodevelopmental Disorders (7 papers). Seok‐Kyu Kwon collaborates with scholars based in South Korea, United States and Japan. Seok‐Kyu Kwon's co-authors include Franck Polleux, Tommy L. Lewis, Eunjoon Kim, Jooyeon Woo, Yusuke Hirabayashi, Annie Lee, Kunlong Yang, Hyun Kim, Yong‐Hyun Kim and Sung‐Han Kim and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Seok‐Kyu Kwon

31 papers receiving 2.6k citations

Hit Papers

ER-mitochondria tethering... 2017 2026 2020 2023 2017 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
Seok‐Kyu Kwon 1.6k 959 483 330 308 33 2.6k
Ginetta Collo 1.5k 1.0× 1.0k 1.1× 254 0.5× 202 0.6× 317 1.0× 55 4.6k
Michael A. Colicos 1.9k 1.2× 1.9k 2.0× 538 1.1× 193 0.6× 298 1.0× 38 3.6k
Shuyu Wang 1.9k 1.2× 320 0.3× 466 1.0× 476 1.4× 365 1.2× 35 2.8k
Libin Cui 1.8k 1.1× 1.2k 1.3× 131 0.3× 319 1.0× 591 1.9× 53 2.8k
Vedrana Montana 1.1k 0.7× 1.3k 1.4× 281 0.6× 147 0.4× 272 0.9× 29 3.1k
Robert Sealock 2.6k 1.6× 1.0k 1.1× 772 1.6× 196 0.6× 566 1.8× 47 3.3k
Jung-Hwa Tao-Cheng 1.9k 1.2× 2.0k 2.1× 806 1.7× 224 0.7× 439 1.4× 76 3.7k
Juan Carlos Tapia 1.9k 1.2× 1.1k 1.1× 285 0.6× 145 0.4× 425 1.4× 70 3.5k
Jyothi Arikkath 1.6k 1.0× 1.4k 1.4× 372 0.8× 185 0.6× 344 1.1× 39 2.6k
Eva M. Jiménez‐Mateos 1.9k 1.2× 794 0.8× 299 0.6× 117 0.4× 269 0.9× 72 3.2k

Countries citing papers authored by Seok‐Kyu Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Seok‐Kyu Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seok‐Kyu Kwon. 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 Seok‐Kyu Kwon. The network helps show where Seok‐Kyu Kwon may publish in the future.

Co-authorship network of co-authors of Seok‐Kyu Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Seok‐Kyu Kwon. A scholar is included among the top collaborators of Seok‐Kyu Kwon 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 Seok‐Kyu Kwon. Seok‐Kyu Kwon 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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