Jun Sung Park

30 total papers · 2.7k total citations
16 papers, 1.2k citations indexed

About

Jun Sung Park is a scholar working on Molecular Biology, Cancer Research and Computational Mechanics. According to data from OpenAlex, Jun Sung Park has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Computational Mechanics. Recurrent topics in Jun Sung Park's work include Cancer Genomics and Diagnostics (4 papers), Computational Fluid Dynamics and Aerodynamics (2 papers) and Combustion and Detonation Processes (2 papers). Jun Sung Park is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Computational Fluid Dynamics and Aerodynamics (2 papers) and Combustion and Detonation Processes (2 papers). Jun Sung Park collaborates with scholars based in South Korea, United Kingdom and United States. Jun Sung Park's co-authors include Jeong Ho Lee, Moritz Gerstung, Omer Ali Bayraktar, Artem Lomakin, Alexander Aivazidis, Rasa Elmentaite, Emma Dann, Artem Shmatko, Mika Sarkin Jain and Tong Li and has published in prestigious journals such as Nature, Nature Communications and Nature Biotechnology.

In The Last Decade

Jun Sung Park

15 papers receiving 1.2k citations

Hit Papers

Cell2location maps fine-g... 2018 2026 2020 2023 2022 2018 2024 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jun Sung Park 728 280 263 222 151 16 1.2k
Jinzhou Yuan 663 0.9× 147 0.5× 209 0.8× 401 1.8× 218 1.4× 28 1.3k
Yuzhou Chang 1.0k 1.4× 177 0.6× 418 1.6× 185 0.8× 127 0.8× 42 1.5k
Stacey Watkins 557 0.8× 503 1.8× 208 0.8× 114 0.5× 206 1.4× 11 1.3k
Gergely Solecki 519 0.7× 356 1.3× 176 0.7× 109 0.5× 230 1.5× 18 1.2k
Cecilie Sandberg 839 1.2× 388 1.4× 257 1.0× 225 1.0× 369 2.4× 32 1.5k
Hongye Liu 517 0.7× 231 0.8× 249 0.9× 170 0.8× 246 1.6× 23 1.0k
Matthias Osswald 423 0.6× 451 1.6× 189 0.7× 162 0.7× 252 1.7× 24 1.2k
Per‐Henrik Edqvist 683 0.9× 219 0.8× 282 1.1× 180 0.8× 286 1.9× 43 1.3k
Christian Beaudry 705 1.0× 194 0.7× 272 1.0× 141 0.6× 198 1.3× 17 1.1k
Aurélien Dugourd 903 1.2× 147 0.5× 197 0.7× 220 1.0× 152 1.0× 26 1.4k

Countries citing papers authored by Jun Sung Park

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sung Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Sung Park

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