Sung‐Yeon Cho

2.4k citations
101 papers · 1.7k · h-index 23

Impact in

Papers in

    • Antifungal resistance and susceptibility 31
    • Antimicrobial Resistance in Staphylococcus 6
    • Fungal Infections and Studies 21
    • Cytomegalovirus and herpesvirus research 7
    • Herpesvirus Infections and Treatments 6

Sung‐Yeon Cho

92 papers receiving 1.7k citations

Peers

Sung‐Yeon Cho
Comparison fields: 5 of 126
  • Infectious Diseases 532
  • Molecular Medicine 139
  • Endocrinology 94
  • Epidemiology 531
  • Applied Microbiology and Biotechnology 27
Replace Chun‐Yu Lin with:
Chun‐Yu Lin Taiwan
Yeon Joo Lee United States
Hossein Bannazadeh Baghi Iran
Mao Hagihara Japan
B. Keith English United States
Bert K. Lopansri United States
Giovanni Matera Italy
Akiko Nakamura Japan
Harsimran Kaur India
Ni Tien Taiwan
Sung‐Yeon Cho relative to Chun‐Yu Lin Taiwan Chun‐Yu Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sung‐Yeon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Yeon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Yeon Cho. 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 Sung‐Yeon Cho. The network helps show where Sung‐Yeon Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003286
2 2014104
3 201998
4 202360
5 201559
6 201449
7 201943
8 201843
9 201343
10 201940
11 201335
12 201733
13 201633
14 200531
15 201531
16 201330
17 201629
18 202128
19 201628
20 201827

About Sung‐Yeon Cho

Sung‐Yeon Cho is a scholar working on Infectious Diseases, Epidemiology, Oncology, Clinical Biochemistry and Molecular Biology, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (31 papers), Fungal Infections and Studies (21 papers), Neutropenia and Cancer Infections (13 papers), Bacterial Identification and Susceptibility Testing (9 papers), Antibiotic Resistance in Bacteria (7 papers), Cytomegalovirus and herpesvirus research (7 papers), Herpesvirus Infections and Treatments (6 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). The work is most often cited by research in Infectious Diseases (532 citations), Molecular Medicine (139 citations), Endocrinology (94 citations), Epidemiology (531 citations) and Applied Microbiology and Biotechnology (27 citations). Sung‐Yeon Cho has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Dong‐Gun Lee, Jung‐Hyun Choi, Su‐Mi Choi, Sun Hee Park, Chulmin Park, Jin‐Hong Yoo, Jae-Ki Choi, Hee‐Je Kim, Si‐Hyun Kim and Hyo-Jin Lee. Their work appears in journals such as Mycoses, Journal of Fungi, Annals of Laboratory Medicine, Viruses and Medical Mycology.

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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