Kisang Kwon

102 total papers · 560 total citations
53 papers, 413 citations indexed

About

Kisang Kwon is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Kisang Kwon has authored 53 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Cell Biology and 10 papers in Epidemiology. Recurrent topics in Kisang Kwon's work include Endoplasmic Reticulum Stress and Disease (22 papers), Autophagy in Disease and Therapy (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Kisang Kwon is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (22 papers), Autophagy in Disease and Therapy (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Kisang Kwon collaborates with scholars based in South Korea, United States and China. Kisang Kwon's co-authors include O‐Yu Kwon, Kweon Yu, Ae‐Kyeong Kim, Kyung‐Jin Min, Sun‐Ah Jung, Kwan‐Hee You, Marc Tatar, Kyu‐Sun Lee, Joon‐Hyung Lee and Seung Whan Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Cell Biology and Scientific Reports.

In The Last Decade

Kisang Kwon

46 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
Kisang Kwon 192 126 83 73 67 53 413
Champakali Ayyub 198 1.0× 156 1.2× 70 0.8× 43 0.6× 70 1.0× 16 452
Neha Agrawal 268 1.4× 139 1.1× 76 0.9× 131 1.8× 47 0.7× 16 438
Miki Yoshida 106 0.6× 160 1.3× 44 0.5× 32 0.4× 89 1.3× 15 446
Pengyu Gu 145 0.8× 180 1.4× 48 0.6× 55 0.8× 43 0.6× 20 401
Wenxia Zhang 188 1.0× 140 1.1× 28 0.3× 59 0.8× 21 0.3× 21 465
Meijuan Cai 235 1.2× 274 2.2× 112 1.3× 67 0.9× 19 0.3× 28 490
Ralph Hillman 216 1.1× 204 1.6× 82 1.0× 27 0.4× 29 0.4× 23 480
Ihor Yurkevych 200 1.0× 119 0.9× 163 2.0× 70 1.0× 66 1.0× 18 491
Eugenia Villa-Cuesta 97 0.5× 201 1.6× 41 0.5× 34 0.5× 65 1.0× 17 450
Jill S. Wentzell 162 0.8× 161 1.3× 30 0.4× 71 1.0× 103 1.5× 15 399

Countries citing papers authored by Kisang Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Kisang Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kisang Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Kisang Kwon. A scholar is included among the top collaborators of Kisang 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 Kisang Kwon. Kisang 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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2026