Jun-Won Seo

792 citations
39 papers · 404 · h-index 10

Impact in

    • Viral Infections and Vectors
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research
    • SARS-CoV-2 and COVID-19 Research
  • Parasitology top 10%
    • Vector-borne infectious diseases

Papers in

    • COVID-19 Clinical Research Studies 8
    • Viral Infections and Vectors 6
    • SARS-CoV-2 and COVID-19 Research 6
    • SARS-CoV-2 detection and testing 4
    • Viral Infections and Outbreaks Research 4
    • Long-Term Effects of COVID-19 6

Jun-Won Seo

36 papers receiving 393 citations

Peers

Jun-Won Seo
Comparison fields: 5 of 77
  • Infectious Diseases 231
  • Parasitology 55
  • Neurology 84
  • Critical Care and Intensive Care Medicine 18
  • Ecology, Evolution, Behavior and Systematics 40
Replace Jacqueline Buijs with:
Jacqueline Buijs Netherlands
Robert Sykes United Kingdom
Firdevs Aksoy Türkiye
Owen Tak Yin Tsang Hong Kong
Amparo López‐Bernús Spain
Ahmed Daoud United States
David Spencer South Africa
Zachary R. Hanna United States
Thomas Tipih United States
Jun-Won Seo relative to Jacqueline Buijs Netherlands Jacqueline Buijs's profile →
Citations per field
00.5×6.5×
Jacqueline Buijs · 1×
Citations per year

Countries citing papers authored by Jun-Won Seo

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Won Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Won Seo. 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 Jun-Won Seo. The network helps show where Jun-Won Seo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021123
2 202241
3 202432
4 201724
5 202323
6 202216
7 202215
8 201611
9 20209
10 20219
11 20218
12 20197
13 20217
14 20217
15 20237
16 20206
17 20226
18 20216
19 20216
20 20125

About Jun-Won Seo

Jun-Won Seo is a scholar working on Infectious Diseases, Neurology, Parasitology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 39 papers that have together received 404 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Viral Infections and Vectors (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Long-Term Effects of COVID-19 (6 papers), SARS-CoV-2 detection and testing (4 papers), Viral Infections and Outbreaks Research (4 papers), Vector-borne infectious diseases (3 papers) and Respiratory Support and Mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (231 citations), Parasitology (55 citations), Neurology (84 citations), Critical Care and Intensive Care Medicine (18 citations) and Ecology, Evolution, Behavior and Systematics (40 citations). Jun-Won Seo has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Na Ra Yun, Dayoung Kim, Dong‐Min Kim, Choon‐Mee Kim, Eun Jung Lee, Young Hee Jung, Seong Eun Kim, Yoonjung Kim, Tark Kim and So Hee Lee. Their work appears in journals such as Viruses, Scientific Reports, Microbiology Spectrum, Journal of Korean Medical Science and BMC Infectious Diseases.

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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