Joon‐Sup Yeom

5.5k citations
191 papers · 2.8k indexed · h-index 32

Joon‐Sup Yeom

172 papers receiving 2.8k citations

Peers

Joon‐Sup Yeom
Comparison fields: 5 of 143
  • Applied Microbiology and Biotechnology 164
  • Molecular Medicine 401
  • Infectious Diseases 910
  • Endocrinology 233
  • Clinical Biochemistry 210
Replace José Marı́a Eiros Bouza with:
José Marı́a Eiros Bouza Spain
Ahmed Babiker United States
Hee‐Chang Jang South Korea
Amita Jain India
Perry J.J. van Genderen Netherlands
Tun‐Chieh Chen Taiwan
Andi L. Shane United States
Jang Wook Sohn South Korea
Yung-Ching Liu Taiwan
Mariam M. Mirambo Tanzania
Joon‐Sup Yeom relative to José Marı́a Eiros Bouza Spain José Marı́a Eiros Bouza's profile →
Citations per field
00.5×1.6×
José Marı́a Eiros Bouza · 1×
Citations per year

Countries citing papers authored by Joon‐Sup Yeom

Since Specialization
Citations

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

Fields of papers citing papers by Joon‐Sup Yeom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon‐Sup Yeom. 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 Joon‐Sup Yeom. The network helps show where Joon‐Sup Yeom may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
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Diagnosis and treatment of vivax malaria
20091
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Drug Use Evaluation of Intravenous Ciprofloxacin in University Hospitals in Korea
20042
20 200339

About Joon‐Sup Yeom

Joon‐Sup Yeom is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Microbiology, Molecular Medicine and Parasitology, having authored 191 papers that have together received 2.8k indexed citations. Recurring topics across this work include Malaria Research and Control (36 papers), Mosquito-borne diseases and control (32 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Antibiotic Resistance in Bacteria (12 papers), Urinary Tract Infections Management (12 papers), COVID-19 Clinical Research Studies (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and Bacterial Identification and Susceptibility Testing (11 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (164 citations), Molecular Medicine (401 citations), Infectious Diseases (910 citations), Endocrinology (233 citations) and Clinical Biochemistry (210 citations). Joon‐Sup Yeom has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jun Yong Choi, Su Jin Jeong, Jin Young Ahn, Nam Su Ku, Jae-Won Park, Jung Ho Kim, Seungho Ryu, Kyong Ran Peck, Eun‐Jeong Joo and Kwan Soo Ko. Their work appears in journals such as Journal of Korean Medical Science, PLoS ONE, Scientific Reports, Journal of Clinical Medicine and American Journal of Tropical Medicine and Hygiene.

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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