Ohsuk Kwon

3.0k citations
71 papers · 2.4k indexed · h-index 28

Impact in

Papers in

    • Enzyme Production and Characterization 5
    • Glycosylation and Glycoproteins Research 22
    • Fungal and yeast genetics research 15
    • Microbial Metabolic Engineering and Bioproduction 9
    • Protein Structure and Dynamics 4

Ohsuk Kwon

71 papers receiving 2.4k citations

Peers

Ohsuk Kwon
Comparison fields: 5 of 104
  • Endocrinology 261
  • Genetics 798
  • Molecular Biology 1.8k
  • Biotechnology 179
  • Molecular Medicine 74
Replace Masao Tokunaga with:
Masao Tokunaga Japan
Tino Polen Germany
Mark S. B. Paget United Kingdom
Ronald W. Woodard United States
Hiroshi Kadokura Japan
Allan Matte Canada
Janine Robert‐Baudouy France
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Dana R. Smulski United States
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Ohsuk Kwon relative to Masao Tokunaga Japan Masao Tokunaga's profile →
Citations per field
00.5×2.6×
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-authorship network

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
#Work
1 201631
2 20169
3 201620
4 201510
5 201417
6 201311
7 201311
8 201310
9 201232
10 201238
11 201114
12 20109
13 201054
14 200933
15 20087
16 200817
17 2004221
18
Fabrication of a Partial Genome Microarray of the Methylotrophic Yeast Hansenula polymorpha: Optimization and Evaluation of Transcript Profiling
200413
19 199983
20 1998112

About Ohsuk Kwon

Ohsuk Kwon is a scholar working on Biotechnology, Molecular Biology, Genetics, Organic Chemistry and Endocrinology, having authored 71 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (22 papers), Bacterial Genetics and Biotechnology (18 papers), Carbohydrate Chemistry and Synthesis (17 papers), Fungal and yeast genetics research (15 papers), Biofuel production and bioconversion (12 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Enzyme Production and Characterization (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Endocrinology (261 citations), Genetics (798 citations), Molecular Biology (1.8k citations), Biotechnology (179 citations) and Molecular Medicine (74 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, Applied and Environmental Microbiology and The Journal of 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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