Hye Won Jeong

6.2k citations
107 papers · 2.8k indexed · 1 hit paper · h-index 28
Topics
Influenza Virus Research Studies (35 papers)Respiratory viral infections research (34 papers)SARS-CoV-2 and COVID-19 Research (24 papers)

In The Last Decade

Hye Won Jeong

105 papers receiving 2.7k citations

Hit Papers

Immunophenotyping of COVID-19 and influenza highlights th...20202026202220242020100200300400500

Peers

Hye Won Jeong
Comparison fields: 5 of 128
  • Infectious Diseases 1.7k
  • Epidemiology 948
  • Immunology 363
  • Neurology 312
  • Molecular Biology 311
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 of co-authors of Hye Won Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Hye Won Jeong. A scholar is included among the top collaborators of Hye Won Jeong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hye Won Jeong. Hye Won Jeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Immunogenicity and Safety of Half Dose Intradermal Injection Compared to Full Dose Intramuscular Injection of Influenza Vaccine in Healthy Adults
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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) and SARS-CoV-2 and COVID-19 Research (24 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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