Jee-Hyun Yoon

38 total papers · 1.3k total citations
24 papers, 924 citations indexed

About

Jee-Hyun Yoon is a scholar working on Oncology, Surgery and Pharmacology. According to data from OpenAlex, Jee-Hyun Yoon has authored 24 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Surgery and 4 papers in Pharmacology. Recurrent topics in Jee-Hyun Yoon's work include Chemotherapy-related skin toxicity (4 papers), Complementary and Alternative Medicine Studies (3 papers) and Cancer Treatment and Pharmacology (3 papers). Jee-Hyun Yoon is often cited by papers focused on Chemotherapy-related skin toxicity (4 papers), Complementary and Alternative Medicine Studies (3 papers) and Cancer Treatment and Pharmacology (3 papers). Jee-Hyun Yoon collaborates with scholars based in South Korea and United States. Jee-Hyun Yoon's co-authors include Hansoo Park, Jeremy B. Vines, Hyewon Chung, Ae Jin Choi, Hyung Chan Kim, Won-Chul Lee, So‐Young Choi, Hyung Soon Park, Je‐Hyun Baek and Hyunjung Jade Lim and has published in prestigious journals such as Medicine, Investigative Ophthalmology & Visual Science and Journal of Proteome Research.

In The Last Decade

Jee-Hyun Yoon

21 papers receiving 911 citations

Hit Papers

Gold Nanoparticles for Ph... 2019 2026 2021 2023 2019 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Jee-Hyun Yoon 433 275 234 215 210 24 924
Félix Sauvage 390 0.9× 406 1.5× 207 0.9× 238 1.1× 84 0.4× 35 1.1k
Shiyuan Hua 424 1.0× 230 0.8× 135 0.6× 165 0.8× 115 0.5× 23 796
Alisar S. Zahr 257 0.6× 302 1.1× 360 1.5× 171 0.8× 54 0.3× 8 939
Jinlong Ma 571 1.3× 294 1.1× 322 1.4× 249 1.2× 108 0.5× 33 1.0k
Shay Keren 377 0.9× 235 0.9× 90 0.4× 160 0.7× 236 1.1× 28 934
James M. Kaiser 514 1.2× 466 1.7× 262 1.1× 263 1.2× 64 0.3× 18 1.2k
Vishakha Tambe 581 1.3× 398 1.4× 551 2.4× 243 1.1× 54 0.3× 21 1.2k
Masataka Nakanishi 310 0.7× 443 1.6× 212 0.9× 146 0.7× 72 0.3× 12 844
Jae Chang Jung 204 0.5× 169 0.6× 205 0.9× 352 1.6× 60 0.3× 36 928
Yoh Hamada 346 0.8× 525 1.9× 196 0.8× 191 0.9× 67 0.3× 27 952

Countries citing papers authored by Jee-Hyun Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Jee-Hyun Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jee-Hyun Yoon. 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 Jee-Hyun Yoon. The network helps show where Jee-Hyun Yoon may publish in the future.

Co-authorship network of co-authors of Jee-Hyun Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Jee-Hyun Yoon. A scholar is included among the top collaborators of Jee-Hyun Yoon 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 Jee-Hyun Yoon. Jee-Hyun Yoon 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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