Hye Hee

403 citations
19 papers · 270 · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Tuberculosis Research and Epidemiology
    • Viral Infections and Vectors

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • COVID-19 Clinical Research Studies 8
    • SARS-CoV-2 detection and testing 3
    • Viral Infections and Vectors 3
    • Influenza Virus Research Studies 2

Hye Hee

18 papers receiving 266 citations

Peers

Hye Hee
Comparison fields: 5 of 55
  • Infectious Diseases 226
  • Modeling and Simulation 13
  • Neurology 40
  • Health 15
  • Epidemiology 56
Replace Л. В. Колобухина with:
Л. В. Колобухина Russia
Anu Haveri Finland
Carl A. Pierce United States
Barnaby Flower United Kingdom
Mihaela Lazăr Romania
Cynthia Yen United States
Thomas Langerak Netherlands
Saman Saadat United States
Sarah Siegel United States
Stéphane Marot France
Hye Hee relative to Л. В. Колобухина Russia Л. В. Колобухина's profile →
Citations per field
00.5×2.8×
Л. В. Колобухина · 1×
Citations per year

Countries citing papers authored by Hye Hee

Since Specialization
Citations

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

Fields of papers citing papers by Hye Hee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202057
2 202129
3 202121
4 202120
5 201917
6 202015
7 202115
8 201814
9 202114
10 201913
11 202112
12 201912
13 20199
14 20218
15 20245
16 20224
17 20233
18 20222
19 20230

About Hye Hee

Hye Hee is a scholar working on Infectious Diseases, Epidemiology, Surgery, Neurology and Health, having authored 19 papers that have together received 270 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (8 papers), Long-Term Effects of COVID-19 (3 papers), SARS-CoV-2 detection and testing (3 papers), Viral Infections and Vectors (3 papers), Infectious Diseases and Tuberculosis (3 papers), Mosquito-borne diseases and control (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (226 citations), Modeling and Simulation (13 citations), Neurology (40 citations), Health (15 citations) and Epidemiology (56 citations). Hye Hee has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Ji Yeun Kim, Sung‐Han Kim, Ji‐Soo Kwon, Jiwon Jung, Seongman Bae, Min Jae Kim, Min‐Chul Kim, Se Yoon Park, Sang‐Ho Choi and Yong Pil Chong. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Immune Network, Viruses, Clinical Microbiology and Infection and The Journal of 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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