Ohsuk Kwon

3.0k citations
74 papers · 2.5k · h-index 28

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 23
    • Fungal and yeast genetics research 15
    • Microbial Metabolic Engineering and Bioproduction 9
    • Bacterial Genetics and Biotechnology 18

Ohsuk Kwon

74 papers receiving 2.4k citations

Peers

Ohsuk Kwon
Comparison fields: 5 of 103
  • Endocrinology 243
  • Genetics 787
  • Molecular Biology 1.8k
  • Biotechnology 176
  • Molecular Medicine 73
Replace Masao Tokunaga with:
Masao Tokunaga Japan
Mark S. B. Paget United Kingdom
Hiroshi Kadokura Japan
Allan Matte Canada
Shigeyuki Ichihara Japan
Jon Marles‐Wright United Kingdom
Janine Robert‐Baudouy France
Atsuo Nakata Japan
Angela Tramonti Italy
Joel Jessee United States
Ohsuk Kwon relative to Masao Tokunaga Japan Masao Tokunaga's profile →
Citations per field
00.5×1.5×2.4×
Masao Tokunaga · 1×
Citations per year

Countries citing papers authored by Ohsuk Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Ohsuk Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001388
2 2004222
3 1999118
4 1998112
5 200084
6 199983
7 200269
8 201168
9 200965
10 201055
11 200447
12 200144
13 200543
14 200840
15 200740
16 200939
17 200039
18 201138
19 201238
20 201138

About Ohsuk Kwon

Ohsuk Kwon is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Biomedical Engineering and Biotechnology, having authored 74 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (23 papers), Bacterial Genetics and Biotechnology (18 papers), Carbohydrate Chemistry and Synthesis (17 papers), Fungal and yeast genetics research (15 papers), Biofuel production and bioconversion (13 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Enzyme Production and Characterization (6 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Endocrinology (243 citations), Genetics (787 citations), Molecular Biology (1.8k citations), Biotechnology (176 citations) and Molecular Medicine (73 citations). Ohsuk Kwon has collaborated with scholars based in South Korea, United States and Mexico. Frequent co-authors include Dimitris Georgellis, Edmund C.C. Lin, Doo‐Byoung Oh, Hyun Ah Kang, E. C. C. Lin, Peter De Wulf, Claudia Rodríguez, Bernardo Franco, Roxana Malpica and Seonghun Kim. Their work appears in journals such as Journal of Bacteriology, Applied Microbiology and Biotechnology, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Applied and Environmental Microbiology.

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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