Young‐Man Kwon

1.5k citations
40 papers · 1.2k · h-index 21

Impact in

    • Respiratory viral infections research
    • Influenza Virus Research Studies
    • Pneumonia and Respiratory Infections
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • Respiratory viral infections research 29
    • Influenza Virus Research Studies 16
    • Pneumonia and Respiratory Infections 4
    • Immune Cell Function and Interaction 14
    • Immunotherapy and Immune Responses 3

Young‐Man Kwon

39 papers receiving 1.2k citations

Peers

Young‐Man Kwon
Comparison fields: 5 of 83
  • Epidemiology 790
  • Immunology 405
  • Infectious Diseases 333
  • Animal Science and Zoology 66
  • Emergency Medical Services 38
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Young‐Man Kwon relative to Young‐Tae Lee United States Young‐Tae Lee's profile →
Citations per field
00.5×1.5×
Young‐Tae Lee · 1×
Citations per year

Countries citing papers authored by Young‐Man Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Man Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Man Kwon. 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 Young‐Man Kwon. The network helps show where Young‐Man Kwon may publish in the future.

Co-authors

The 25 scholars most cited alongside Young‐Man Kwon, 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 Young‐Man Kwon Line = papers co-authored together Young‐Man Kwon 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 2018151
2 2012143
3 2013140
4 201365
5 201455
6 201448
7 201543
8 201442
9 201841
10 201430
11 201429
12 201628
13 201426
14 201525
15 201524
16 201823
17 201423
18 201421
19 201821
20 201721

About Young‐Man Kwon

Young‐Man Kwon is a scholar working on Epidemiology, Immunology, Infectious Diseases, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Respiratory viral infections research (29 papers), Influenza Virus Research Studies (16 papers), Immune Cell Function and Interaction (14 papers), Viral gastroenteritis research and epidemiology (11 papers), Neonatal Respiratory Health Research (8 papers), Pneumonia and Respiratory Infections (4 papers), Immunotherapy and Immune Responses (3 papers) and Ginseng Biological Effects and Applications (3 papers). The work is most often cited by research in Epidemiology (790 citations), Immunology (405 citations), Infectious Diseases (333 citations), Animal Science and Zoology (66 citations) and Emergency Medical Services (38 citations). Young‐Man Kwon has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Sang‐Moo Kang, Eun‐Ju Ko, Young‐Tae Lee, Richard W. Compans, Hye Suk Hwang, Ki‐Hye Kim, Yuna Lee, Min Chul Kim, Jae-Min Song and Youn‐Jeong Lee. Their work appears in journals such as Virology, Antiviral Research, PLoS ONE, Journal of Virology and Vaccine.

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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