Yoon S. Chun

3.0k citations
71 papers · 2.3k indexed · 1 hit paper · h-index 25
Topics
Breast Implant and Reconstruction (36 papers)Reconstructive Surgery and Microvascular Techniques (35 papers)Breast Cancer Treatment Studies (13 papers)

In The Last Decade

Yoon S. Chun

71 papers receiving 2.3k citations

Hit Papers

Implant-Based Breast Reconstruction Using Acellular Derma...20102026201520202010100200300400

Peers

Yoon S. Chun
Comparison fields: 5 of 108
  • Surgery 1.4k
  • Cancer Research 491
  • Molecular Biology 465
  • Physiology 195
  • Clinical Psychology 179
Replace Songqing He with:
Songqing He China
Todd Holscher United States
Kumiko Tanabe Japan
Jennifer L. Gooch United States
Miguel Rivera Spain
Swasti Tiwari India
Elisa Petrangeli Italy
Miina K. Öhman United States
Hong Jin China
Yoon S. Chun relative to Songqing He China Songqing He's profile →
Citations per field
00.5×10×15×22.4×
Songqing He · 1×
Citations per year

Countries citing papers authored by Yoon S. Chun

Since Specialization
Citations

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

Fields of papers citing papers by Yoon S. Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoon S. Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon S. Chun. A scholar is included among the top collaborators of Yoon S. 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 Yoon S. Chun. Yoon S. Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 28
2 8
3 9
4 4
5 12
6 74
7 33
8 66
9 4
10 9
11 58
12 45
13 20
14 6
15 61
16 38
17 38
18 17
19 16
20 26

About Yoon S. Chun

Yoon S. Chun is a scholar working on Transplantation, Surgery and Cancer Research, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Breast Implant and Reconstruction (36 papers), Reconstructive Surgery and Microvascular Techniques (35 papers) and Breast Cancer Treatment Studies (13 papers). The work is most often cited by research in Transplantation (179 citations), Cancer Research (491 citations) and Surgery (1.4k citations). Yoon S. Chun has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Stuart R. Lipsitz, Elof Eriksson, Kapil Verma, Heather Rosen, Donald J. Morris, Pardon R. Kenney, Hyunsuk Shim, Brian C. Lewis, Chi V. Dang and Sungkwon Chung. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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