Sun C. Kim

528 citations
16 papers · 452 · h-index 9

Impact in

    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Bacterial Genetics and Biotechnology

Papers in

    • Polyamine Metabolism and Applications 4
    • CRISPR and Genetic Engineering 3
    • Epigenetics and DNA Methylation 2
    • DNA and Nucleic Acid Chemistry 2
    • Bacterial Genetics and Biotechnology 5
    • Animal Genetics and Reproduction 2

Sun C. Kim

16 papers receiving 417 citations

Peers

Sun C. Kim
Comparison fields: 5 of 59
  • Molecular Biology 377
  • Genetics 134
  • Ecology 100
  • Biotechnology 19
  • Food Science 36
Replace J Tornow with:
J Tornow United States
Ronni Altman United States
L. Dondon France
Richard E. Musso United States
Ruth K. Kleppe Norway
S M Panasenko United States
Fons Bonekamp Denmark
Michel Jacquet France
Marvin Stodolsky United States
C.R. Fuerst Canada
Sun C. Kim relative to J Tornow United States J Tornow's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sun C. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun C. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Sun C. Kim, 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 C. Kim Line = papers co-authored together Sun C. Kim links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1991212
2 198840
3 198640
4 199633
5 198829
6 198922
7 199115
8 199613
9 19859
10 19917
11 19977
12 19946
13 19896
14 19916
15 19904
16 19923

About Sun C. Kim

Sun C. Kim is a scholar working on Molecular Biology, Genetics, Ecology, Food Science and Biotechnology, having authored 16 papers that have together received 452 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Polyamine Metabolism and Applications (4 papers), Bacteriophages and microbial interactions (3 papers), CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (2 papers), Animal Genetics and Reproduction (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Molecular Biology (377 citations), Genetics (134 citations), Ecology (100 citations), Biotechnology (19 citations) and Food Science (36 citations). Sun C. Kim has collaborated with scholars based in United States, South Korea and Poland. Frequent co-authors include Waclaw Szybalski, Anna J. Podhajska, Noaman Hasan, N.F. Olson, Piotr M. Skowron, Seung Soo Hong, György Pósfai, László Szilák, Attila Kovács and Pál Venetianer. Their work appears in journals such as Gene, Journal of Microencapsulation, Journal of Dairy Research, Nucleic Acids Research and Genetic Analysis Biomolecular Engineering.

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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