Sun‐Shin Cha

5.2k citations
145 papers · 4.0k · h-index 32

Impact in

Papers in

Sun‐Shin Cha

141 papers receiving 3.9k citations

Peers

Sun‐Shin Cha
Comparison fields: 5 of 138
  • Molecular Medicine 261
  • Biotechnology 421
  • Endocrinology 172
  • Molecular Biology 1.9k
  • Inorganic Chemistry 345
Replace Ge Liu with:
Ge Liu China
John R. Guest United Kingdom
Jia Jia China
Toshiya Senda Japan
Mark D. Carr United Kingdom
Andrew Howard United States
Nicholas M. Kredich United States
Alexandra R. Fernandes Portugal
Patricia J. Kiley United States
Bernadette Byrne United Kingdom
Sun‐Shin Cha relative to Ge Liu China Ge Liu's profile →
Citations per field
00.5×3.7×
Ge Liu · 1×
Citations per year

Countries citing papers authored by Sun‐Shin Cha

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Shin Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sun‐Shin Cha, 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‐Shin Cha Line = papers co-authored together Sun‐Shin Cha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Patterns of recurrence after curative resection of carcinoma of the colon and rectum.
1992360
2 2007287
3 2003207
4 2010188
5 1999149
6 2006131
7 1999125
8 1997125
9 2008116
10 2006108
11 2011105
12 2000102
13 200693
14 201280
15 201075
16 201763
17 200459
18 201158
19 201258
20 200952

About Sun‐Shin Cha

Sun‐Shin Cha is a scholar working on Molecular Biology, Materials Chemistry, Molecular Medicine, Pharmacology and Biotechnology, having authored 145 papers that have together received 4.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (40 papers), Antibiotic Resistance in Bacteria (21 papers), Microbial Natural Products and Biosynthesis (14 papers), Biochemical and Molecular Research (12 papers), Enzyme Production and Characterization (11 papers), Protein Structure and Dynamics (10 papers), Bacterial Genetics and Biotechnology (9 papers) and Trace Elements in Health (6 papers). The work is most often cited by research in Molecular Medicine (261 citations), Biotechnology (421 citations), Endocrinology (172 citations), Molecular Biology (1.9k citations) and Inorganic Chemistry (345 citations). Sun‐Shin Cha has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Young Jun An, Byung‐Ha Oh, Wieand Hs, Moertel Cg, Pemberton Jh, Susan Galandiuk, Fitzgibbons Rj, Chang‐Sook Jeong, Sang Hee Lee and Hyun Sook Lee. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Scientific Reports, Biochemistry and Nature Communications.

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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