Yuna Lee

4.8k total citations · 1 hit paper
146 papers, 3.4k citations indexed

About

Yuna Lee is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Yuna Lee has authored 146 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Epidemiology, 37 papers in Agronomy and Crop Science and 34 papers in Infectious Diseases. Recurrent topics in Yuna Lee's work include Influenza Virus Research Studies (63 papers), Animal Disease Management and Epidemiology (37 papers) and Viral gastroenteritis research and epidemiology (24 papers). Yuna Lee is often cited by papers focused on Influenza Virus Research Studies (63 papers), Animal Disease Management and Epidemiology (37 papers) and Viral gastroenteritis research and epidemiology (24 papers). Yuna Lee collaborates with scholars based in South Korea, United States and Canada. Yuna Lee's co-authors include Robert K. Nam, Steven A. Narod, Sang‐Moo Kang, Laurence Klotz, Refik Saskin, Dong‐Hun Lee, David R. Urbach, Aleksandra Stanimirovic, D. Andrew Loblaw and John Trachtenberg and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Yuna Lee

134 papers receiving 3.3k citations

Hit Papers

Increasing Hospital Admission Rates for Urological Compli... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuna Lee South Korea 31 1.5k 947 735 560 433 146 3.4k
Chun‐Yi Lu Taiwan 38 2.7k 1.8× 538 0.6× 1.7k 2.3× 300 0.5× 435 1.0× 260 5.7k
Brunhilde Schweiger Germany 32 2.7k 1.8× 338 0.4× 1.5k 2.0× 307 0.5× 367 0.8× 114 4.0k
Amalia Magaret United States 43 4.4k 2.8× 433 0.5× 1.6k 2.1× 112 0.2× 899 2.1× 145 6.2k
Thedi Ziegler Finland 37 3.3k 2.2× 592 0.6× 1.0k 1.4× 230 0.4× 460 1.1× 84 4.2k
Emily T. Martin United States 39 3.3k 2.2× 646 0.7× 2.3k 3.1× 152 0.3× 373 0.9× 208 5.7k
Stan L. Block United States 35 4.0k 2.6× 625 0.7× 793 1.1× 101 0.2× 569 1.3× 128 5.1k
William D. Hardy United States 38 1.8k 1.2× 522 0.6× 2.2k 3.0× 376 0.7× 1.5k 3.5× 123 6.2k
Tony Mazzulli Canada 46 3.4k 2.2× 339 0.4× 1.8k 2.5× 81 0.1× 337 0.8× 232 6.9k
Joanna Ellis United Kingdom 38 3.3k 2.1× 340 0.4× 1.7k 2.3× 401 0.7× 400 0.9× 115 4.8k
Louis Fries United States 37 1.8k 1.2× 253 0.3× 1.1k 1.5× 146 0.3× 1.1k 2.4× 77 3.5k

Countries citing papers authored by Yuna Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yuna Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuna Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yuna Lee. A scholar is included among the top collaborators of Yuna Lee 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 Yuna Lee. Yuna Lee 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
1.
Reddy, M. Siva Pratap, Jaesool Shim, Yuna Lee, et al.. (2025). Mechanically induced flexible two-dimensional PdSe2 sensors based on piezotronic effect. Journal of Alloys and Compounds. 1017. 179014–179014. 1 indexed citations
2.
Verma, Amol A., Thérèse A. Stukel, Michael Colacci, et al.. (2024). Clinical evaluation of a machine learning–based early warning system for patient deterioration. Canadian Medical Association Journal. 196(30). E1027–E1037. 6 indexed citations
4.
Mi, Ra, Yuna Lee, Minji Park, et al.. (2023). Genetic Characterization and Pathogenesis of H5N1 High Pathogenicity Avian Influenza Virus Isolated in South Korea during 2021–2022. Viruses. 15(6). 1403–1403. 7 indexed citations
5.
Sagong, Mingeun, Yuna Lee, Ra Mi, et al.. (2022). Emergence of clade 2.3.4.4b novel reassortant H5N1 high pathogenicity avian influenza virus in South Korea during late 2021. Transboundary and Emerging Diseases. 69(5). e3255–e3260. 45 indexed citations
6.
Heo, Gyeong-Beom, Soo‐Jeong Kye, Mingeun Sagong, et al.. (2021). Genetic characterization of H9N2 avian influenza virus previously unrecognized in Korea. Journal of Veterinary Science. 22(2). e21–e21. 17 indexed citations
7.
Lee, Sang Soo, et al.. (2021). Exploring the meaning of education for social responsibility. 31(1). 85–112. 2 indexed citations
8.
Si, Young‐Jae, Yu‐Ri Park, Eun‐Kyoung Lee, et al.. (2021). Pathogenesis and genetic characteristics of low pathogenic avian influenza H10 viruses isolated from migratory birds in South Korea during 2010–2019. Transboundary and Emerging Diseases. 69(5). 2588–2599. 5 indexed citations
10.
Lee, Yuna, Dong‐Hun Lee, Jung‐Hoon Kwon, et al.. (2021). Genetic Characterization of Novel H7Nx Low Pathogenic Avian Influenza Viruses from Wild Birds in South Korea during the Winter of 2020–2021. Viruses. 13(11). 2274–2274. 3 indexed citations
11.
Park, Yu‐Ri, Yuna Lee, Dong‐Hun Lee, et al.. (2019). Genetic and pathogenic characteristics of clade 2.3.2.1c H5N1 highly pathogenic avian influenza viruses isolated from poultry outbreaks in Laos during 2015–2018. Transboundary and Emerging Diseases. 67(2). 947–955. 6 indexed citations
12.
Lee, Yuna, Hyunah Kwon, Jun-Sik Yoon, & Jong Kyu Kim. (2018). Overcoming ineffective resistance modulation in p-type NiO gas sensor by nanoscale Schottky contacts. Nanotechnology. 30(11). 115501–115501. 9 indexed citations
13.
Lee, Young‐Tae, Eun‐Ju Ko, Youri Lee, et al.. (2018). Intranasal vaccination with M2e5x virus-like particles induces humoral and cellular immune responses conferring cross-protection against heterosubtypic influenza viruses. PLoS ONE. 13(1). e0190868–e0190868. 61 indexed citations
14.
Kim, Yu-Jin, Eun‐Ju Ko, Min‐Chul Kim, et al.. (2017). Roles of antibodies to influenza A virus hemagglutinin, neuraminidase, and M2e in conferring cross protection. Biochemical and Biophysical Research Communications. 493(1). 393–398. 17 indexed citations
15.
Lee, Yuna, et al.. (2014). Development of a Tailored Mobile Application to Improve Elementary School Students’ Competencies of Emotional Awareness and Empathy. The Journal of Korean Association of Computer Education. 17(3). 85–99. 1 indexed citations
16.
Lee, Sang Soo, et al.. (2013). The Development of a Social and Emotional Learning Model for Resolving Conflict Problem. 52(4). 121–134. 1 indexed citations
17.
18.
Baek, Sun‐Yong, Sun Ju Im, Sun Hee Lee, et al.. (2011). Instructional Analysis of Lecture Video Recordings and Its Application for Quality Improvement of Medical Lectures. Korean journal of medical education. 23(4). 263–274. 4 indexed citations
19.
Park, Mijung, et al.. (2008). Changes of Lens Morphology and TBUT by Dehydration of Soft Contact Lens. Journal of Korean Ophthalmic Optics Society. 13(2). 1–7. 3 indexed citations
20.
Lee, Yuna & Sang‐Soo Lee. (2008). Situated Mobile Learning in Higher Education. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2008(1). 1745–1750. 2 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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