Sun Chung

517 citations
11 papers · 434 · h-index 8

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Screening and Detection
    • Cancer Genomics and Diagnostics

Papers in

    • Breast Implant and Reconstruction 2
    • Reconstructive Facial Surgery Techniques 2
    • Reconstructive Surgery and Microvascular Techniques 2
    • Cholangiocarcinoma and Gallbladder Cancer Studies 2
    • Cancer Research and Treatments 2

Sun Chung

11 papers receiving 418 citations

Peers

Sun Chung
Comparison fields: 5 of 34
  • Oncology 292
  • Cancer Research 53
  • Biotechnology 26
  • Pathology and Forensic Medicine 43
  • Surgery 104
Replace Futoshi Kawamata with:
Futoshi Kawamata Japan
Seiji Yunotani Japan
Tetsuo Ohta Japan
Shoji Natsugoe Japan
Minsig Choi United States
Dong Woo Shin South Korea
Sau Shung Fong Singapore
Noah S Rozich United States
Heejung Chae South Korea
Jonathan Garnier France
Sun Chung relative to Futoshi Kawamata Japan Futoshi Kawamata's profile →
Citations per field
00.5×1.7×
Futoshi Kawamata · 1×
Citations per year

Countries citing papers authored by Sun Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sun Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sun Chung Line = papers co-authored together Sun Chung links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2007217
2 201667
3 200837
4 200633
5 200627
6 200721
7 200412
8 200412
9 20195
10 20182
11 20191

About Sun Chung

Sun Chung is a scholar working on Surgery, Biotechnology, Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 11 papers that have together received 434 indexed citations. Recurring topics across this work include Cancer Research and Treatments (2 papers), Breast Implant and Reconstruction (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Reconstructive Facial Surgery Techniques (2 papers), Gastric Cancer Management and Outcomes (2 papers), Reconstructive Surgery and Microvascular Techniques (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (292 citations), Cancer Research (53 citations), Biotechnology (26 citations), Pathology and Forensic Medicine (43 citations) and Surgery (104 citations). Sun Chung has collaborated with scholars based in United States. Frequent co-authors include David S. Klimstra, Yuman Fong, Cristina Rosa Ferrone, Mithat Gonen, Murray F. Brennan, Peter J. Allen, Laura H. Tang, Daniel G. Coit, Yao-Tseng Chen and Prasad S. Adusumilli. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, The American Journal of Surgical Pathology, Journal of Gastrointestinal Surgery, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and International Journal of Oncology.

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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