Hye Won Jeong

6.2k citations
107 papers · 2.8k indexed · 1 hit paper · h-index 28

Hye Won Jeong

105 papers receiving 2.7k citations

Hit Papers

Immunophenotyping of COVID-19 and influenza highlights th...5302020202620222024100200300400500

Peers

Hye Won Jeong
Comparison fields: 5 of 128
  • Infectious Diseases 1.7k
  • Modeling and Simulation 184
  • Molecular Medicine 142
  • Epidemiology 948
  • Applied Microbiology and Biotechnology 54
Replace Yae‐Jean Kim with:
Yae‐Jean Kim South Korea
Ji Yun Noh South Korea
Matthew J. Binnicker United States
Priya Sampathkumar United States
Shirin Kalimuddin Singapore
Şükran Köse Türkiye
Kazunori Oishi Japan
Hee‐Chang Jang South Korea
Chia Yin Chong Singapore
Robert Krause Austria
Hye Won Jeong relative to Yae‐Jean Kim South Korea Yae‐Jean Kim's profile →
Citations per field
00.5×
Yae‐Jean Kim · 1×
Citations per year

Countries citing papers authored by Hye Won Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Hye Won Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20246
5 20243
6 20235
7 20231
8 20235
9 20225
10 20217
11 20203
12 202012
13 20203
14 202010
15 201812
16 20181
17 20172
18 201616
19 201638
20
Immunogenicity and Safety of Half Dose Intradermal Injection Compared to Full Dose Intramuscular Injection of Influenza Vaccine in Healthy Adults
20062

About Hye Won Jeong

Hye Won Jeong is a scholar working on Infectious Diseases, Parasitology and Epidemiology, having authored 107 papers that have together received 2.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (35 papers), Respiratory viral infections research (34 papers), SARS-CoV-2 and COVID-19 Research (24 papers), Viral Infections and Vectors (20 papers), COVID-19 Clinical Research Studies (13 papers), Pneumonia and Respiratory Infections (11 papers), Vector-borne infectious diseases (9 papers) and Mosquito-borne diseases and control (8 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Modeling and Simulation (184 citations) and Molecular Medicine (142 citations). Hye Won Jeong has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Woo Joo Kim, Joon Young Song, Hee Jin Cheong, Eui‐Cheol Shin, Won Suk Choi, Su‐Hyung Park, Ji Yun Noh, Young Ki Choi, Jacob Lee and Jung Yeon Heo. Their work appears in journals such as Nature Communications, Nature reviews. Immunology and The Journal of Immunology.

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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