Saewon Chun

20 total papers · 502 total citations
8 papers, 147 citations indexed

About

Saewon Chun is a scholar working on Genetics, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Saewon Chun has authored 8 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 2 papers in Neurology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Saewon Chun's work include Glioma Diagnosis and Treatment (5 papers), Anatomy and Medical Technology (2 papers) and Empathy and Medical Education (2 papers). Saewon Chun is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Anatomy and Medical Technology (2 papers) and Empathy and Medical Education (2 papers). Saewon Chun collaborates with scholars based in United States, Egypt and Jordan. Saewon Chun's co-authors include Benjamin M. Ellingson, Timothy F. Cloughesy, Lori Steelman, Ingo K. Mellinghoff, Islam Hassan, Shuchi S. Pandya, Patrick Y. Wen, Elizabeth A. Maher, Marc K. Rosenblum and Min Lu and has published in prestigious journals such as Nature Medicine, The FASEB Journal and Neuro-Oncology.

In The Last Decade

Saewon Chun

6 papers receiving 143 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Saewon Chun 111 43 37 35 31 8 147
Wolfgang Wick 136 1.2× 54 1.3× 58 1.6× 61 1.7× 14 0.5× 10 198
Alicia Steffens 81 0.7× 34 0.8× 25 0.7× 34 1.0× 10 0.3× 10 136
Ema Yoshioka 111 1.0× 38 0.9× 52 1.4× 36 1.0× 21 0.7× 12 146
Macarena I. de la Fuente 119 1.1× 22 0.5× 27 0.7× 34 1.0× 51 1.6× 13 175
Joo Yeon Nam 92 0.8× 21 0.5× 24 0.6× 42 1.2× 16 0.5× 7 155
Shilpa S. Tummala 149 1.3× 31 0.7× 60 1.6× 41 1.2× 37 1.2× 8 187
Dominique Figarella-Branger 121 1.1× 48 1.1× 11 0.3× 69 2.0× 44 1.4× 8 190
Lale Erdem‐Eraslan 153 1.4× 80 1.9× 32 0.9× 103 2.9× 30 1.0× 10 228
C. Mircea S. Tesileanu 188 1.7× 62 1.4× 65 1.8× 41 1.2× 34 1.1× 11 208
Yannick Kerloëguen 164 1.5× 47 1.1× 73 2.0× 54 1.5× 31 1.0× 10 227

Countries citing papers authored by Saewon Chun

Since Specialization
Citations

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

Fields of papers citing papers by Saewon Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saewon Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Saewon Chun. A scholar is included among the top collaborators of Saewon Chun 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 Saewon Chun. Saewon Chun 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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