Young‐Man Kwon

1.5k total citations
40 papers, 1.2k citations indexed

About

Young‐Man Kwon is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Young‐Man Kwon has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 18 papers in Immunology and 14 papers in Infectious Diseases. Recurrent topics in Young‐Man Kwon's work include Respiratory viral infections research (29 papers), Influenza Virus Research Studies (16 papers) and Immune Cell Function and Interaction (14 papers). Young‐Man Kwon is often cited by papers focused on Respiratory viral infections research (29 papers), Influenza Virus Research Studies (16 papers) and Immune Cell Function and Interaction (14 papers). Young‐Man Kwon collaborates with scholars based in United States, South Korea and Canada. Young‐Man Kwon's 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 and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Virology.

In The Last Decade

Young‐Man Kwon

39 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Young‐Man Kwon United States 21 798 429 358 317 142 40 1.2k
Young‐Tae Lee United States 22 823 1.0× 605 1.4× 378 1.1× 283 0.9× 123 0.9× 54 1.4k
Ki‐Hye Kim United States 23 804 1.0× 526 1.2× 381 1.1× 350 1.1× 125 0.9× 76 1.3k
Dae‐Goon Yoo United States 20 356 0.4× 667 1.6× 157 0.4× 348 1.1× 103 0.7× 26 1.4k
Manki Song South Korea 18 248 0.3× 264 0.6× 291 0.8× 161 0.5× 15 0.1× 42 838
David L. MacLeod Canada 14 418 0.5× 132 0.3× 275 0.8× 193 0.6× 165 1.2× 16 1.1k
Sae‐Hae Kim South Korea 17 111 0.1× 411 1.0× 290 0.8× 315 1.0× 36 0.3× 37 926
Kevin Chiem United States 18 246 0.3× 152 0.4× 514 1.4× 321 1.0× 34 0.2× 51 961
Mohammad Reza Asadi Karam Iran 18 435 0.5× 98 0.2× 101 0.3× 287 0.9× 33 0.2× 60 960
Jarrod J. Mousa United States 19 574 0.7× 85 0.2× 386 1.1× 214 0.7× 63 0.4× 46 911
Alain Rajoharison France 10 302 0.4× 58 0.1× 148 0.4× 123 0.4× 82 0.6× 13 683

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-authorship network of co-authors of Young‐Man Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Man Kwon. A scholar is included among the top collaborators of Young‐Man Kwon 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 Young‐Man Kwon. Young‐Man Kwon 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
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Park, Bo Ryoung, Subbiah Jeeva, Ki‐Hye Kim, et al.. (2021). Enhanced cross protection by hetero prime-boost vaccination with recombinant influenza viruses containing chimeric hemagglutinin-M2e epitopes. Virology. 566. 143–152. 3 indexed citations
3.
Park, Bo Ryoung, Ki‐Hye Kim, Min‐Chul Kim, et al.. (2021). Broad cross protection by recombinant live attenuated influenza H3N2 seasonal virus expressing conserved M2 extracellular domain in a chimeric hemagglutinin. Scientific Reports. 11(1). 4151–4151. 17 indexed citations
4.
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Kwon, Young‐Man, Youri Lee, Yu Jin Jung, et al.. (2019). Antigenicity and immunogenicity of unique prefusion-mimic F proteins presented on enveloped virus-like particles. Vaccine. 37(44). 6656–6664. 7 indexed citations
6.
Kwon, Young‐Man, Hye Suk Hwang, Young‐Tae Lee, et al.. (2019). Respiratory Syncytial Virus Fusion Protein-encoding DNA Vaccine Is Less Effective in Conferring Protection against Inflammatory Disease than a Virus-like Particle Platform. Immune Network. 19(3). e18–e18. 8 indexed citations
7.
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Deng, Lei, Teena Mohan, Timothy Z. Chang, et al.. (2018). Double-layered protein nanoparticles induce broad protection against divergent influenza A viruses. Nature Communications. 9(1). 359–359. 149 indexed citations
9.
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Hwang, Hye Suk, Young‐Tae Lee, Ki‐Hye Kim, et al.. (2017). Virus-like particle vaccine primes immune responses preventing inactivated-virus vaccine-enhanced disease against respiratory syncytial virus. Virology. 511. 142–151. 9 indexed citations
11.
Lee, Young‐Tae, Eun‐Ju Ko, Ki‐Hye Kim, et al.. (2017). Cellular Immune Correlates Preventing Disease Against Respiratory Syncytial Virus by Vaccination with Virus-Like Nanoparticles Carrying Fusion Proteins. Journal of Biomedical Nanotechnology. 13(1). 84–98. 20 indexed citations
12.
Lee, Young‐Tae, Ki‐Hye Kim, Hye Suk Hwang, et al.. (2015). Innate and adaptive cellular phenotypes contributing to pulmonary disease in mice after respiratory syncytial virus immunization and infection. Virology. 485. 36–46. 20 indexed citations
13.
Kim, Ki‐Hye, Young‐Tae Lee, Hye Suk Hwang, et al.. (2015). Alum Adjuvant Enhances Protection against Respiratory Syncytial Virus but Exacerbates Pulmonary Inflammation by Modulating Multiple Innate and Adaptive Immune Cells. PLoS ONE. 10(10). e0139916–e0139916. 24 indexed citations
14.
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Lee, Jong Seok, Min Kyoung Cho, Hye Suk Hwang, et al.. (2014). Ginseng Diminishes Lung Disease in Mice Immunized with Formalin-Inactivated Respiratory Syncytial Virus After Challenge by Modulating Host Immune Responses. Journal of Interferon & Cytokine Research. 34(11). 902–914. 16 indexed citations
16.
Lee, Jong Seok, Young‐Man Kwon, Hye Suk Hwang, et al.. (2014). Baculovirus-expressed virus-like particle vaccine in combination with DNA encoding the fusion protein confers protection against respiratory syncytial virus. Vaccine. 32(44). 5866–5874. 14 indexed citations
17.
Kim, Min Chul, Yuna Lee, Eun‐Ju Ko, et al.. (2014). Supplementation of Influenza Split Vaccines with Conserved M2 Ectodomains Overcomes Strain Specificity and Provides Long-term Cross Protection. Molecular Therapy. 22(7). 1364–1374. 48 indexed citations
18.
Ko, Eun‐Ju, Young‐Man Kwon, Jong Seok Lee, et al.. (2014). Virus-like nanoparticle and DNA vaccination confers protection against respiratory syncytial virus by modulating innate and adaptive immune cells. Nanomedicine Nanotechnology Biology and Medicine. 11(1). 99–108. 26 indexed citations
19.
Quan, Fu‐Shi, et al.. (2013). Mucosal Adjuvants for Influenza Virus-Like Particle Vaccine. Viral Immunology. 26(6). 385–395. 17 indexed citations
20.
Kim, Min‐Chul, Jongseok Lee, Young‐Man Kwon, et al.. (2013). Multiple heterologous M2 extracellular domains presented on virus-like particles confer broader and stronger M2 immunity than live influenza A virus infection. Antiviral Research. 99(3). 328–335. 63 indexed citations

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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