Sehee Park

1.5k citations
40 papers · 917 · h-index 15

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Influenza Virus Research Studies 21
    • Respiratory viral infections research 17
    • Immune Response and Inflammation 6

Sehee Park

37 papers receiving 901 citations

Peers

Sehee Park
Comparison fields: 5 of 103
  • Infectious Diseases 319
  • Epidemiology 296
  • Microbiology 52
  • General Dentistry 10
  • Modeling and Simulation 30
Replace Joon‐Yong Bae with:
Joon‐Yong Bae South Korea
Famara Sané France
Anurodh Shankar Agrawal United States
Mihayl Varbanov France
Fumihiro Kato Japan
Nayebali Ahmadi Iran
Ilseob Lee South Korea
Zhanqiu Yang China
Madhu Khanna India
Qi Lv China
Sehee Park relative to Joon‐Yong Bae South Korea Joon‐Yong Bae's profile →
Citations per field
00.5×1.5×2.5×
Joon‐Yong Bae · 1×
Citations per year

Countries citing papers authored by Sehee Park

Since Specialization
Citations

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

Fields of papers citing papers by Sehee Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sehee Park. 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 Sehee Park. The network helps show where Sehee Park may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020330
2 201870
3 201368
4 201859
5 201345
6 201730
7 201330
8 201626
9 201920
10 201620
11 201819
12 201919
13 201418
14 201315
15 201615
16 201214
17 201611
18 201410
19 20149
20 20129

About Sehee Park

Sehee Park is a scholar working on Epidemiology, Immunology, Infectious Diseases, Molecular Biology and Agronomy and Crop Science, having authored 40 papers that have together received 917 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (21 papers), Respiratory viral infections research (17 papers), Immune Response and Inflammation (6 papers), Animal Disease Management and Epidemiology (5 papers), Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (3 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Infectious Diseases (319 citations), Epidemiology (296 citations), Microbiology (52 citations), General Dentistry (10 citations) and Modeling and Simulation (30 citations). Sehee Park has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Man‐Seong Park, Jin Il Kim, Ilseob Lee, Joon‐Yong Bae, Yoon‐Seok Chung, Jeong‐Min Kim, Mi Seon Kim, Heui Man Kim, Myung Guk Han and Nam‐Joo Lee. Their work appears in journals such as Journal of Virology, The Journal of Microbiology, Biochemical and Biophysical Research Communications, PLoS ONE and Scientific Reports.

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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