Won Sup Oh

111 papers receiving 3.1k citations

Peers

Won Sup Oh
Comparison fields: 5 of 150
  • Molecular Medicine 453
  • Applied Microbiology and Biotechnology 138
  • Infectious Diseases 1.2k
  • Clinical Biochemistry 309
  • Microbiology 261
Replace Anton G M Buiting with:
Anton G M Buiting Netherlands
Susan Shin‐Jung Lee Taiwan
David B. Huang United States
James E. Peacock United States
Joan Gavaldà Spain
Agnès Lefort France
Nathan Keller Israel
Andreas Podbielski Germany
Sue C. Kehl United States
Luke F. Chen United States
Won Sup Oh relative to Anton G M Buiting Netherlands Anton G M Buiting's profile →
Citations per field
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Anton G M Buiting · 1×
Citations per year

Countries citing papers authored by Won Sup Oh

Since Specialization
Citations

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

Fields of papers citing papers by Won Sup Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Sup Oh. 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 Won Sup Oh. The network helps show where Won Sup Oh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004310
2 2005186
3 2005166
4 2007166
5 2008158
6 2015112
7 2016108
8 199797
9 200486
10 200485
11 199778
12 200667
13 201466
14 200463
15 201563
16 201362
17 200559
18 200556
19 200652
20 201646

About Won Sup Oh

Won Sup Oh is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Molecular Medicine and Microbiology, having authored 116 papers that have together received 3.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (19 papers), Pneumonia and Respiratory Infections (17 papers), Bacterial Identification and Susceptibility Testing (11 papers), Viral Infections and Vectors (9 papers), Streptococcal Infections and Treatments (9 papers), Bacterial biofilms and quorum sensing (8 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers) and Antibiotic Resistance in Bacteria (8 papers). The work is most often cited by research in Molecular Medicine (453 citations), Applied Microbiology and Biotechnology (138 citations), Infectious Diseases (1.2k citations), Clinical Biochemistry (309 citations) and Microbiology (261 citations). Won Sup Oh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyong Ran Peck, Kwan Soo Ko, Nam Yong Lee, Jae‐Hoon Song, Sang Taek Heo, D. Wayne Goodman, Ki Tae Kwon, Jae‐Hoon Song, Seong Yeol Ryu and Jin Yang Baek. Their work appears in journals such as Journal of Korean Medical Science, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology and Microbial Drug Resistance.

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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