Ha Youn Lee

1.2k total citations
38 papers, 880 citations indexed

About

Ha Youn Lee is a scholar working on Virology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Ha Youn Lee has authored 38 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Virology, 19 papers in Infectious Diseases and 11 papers in Molecular Biology. Recurrent topics in Ha Youn Lee's work include HIV Research and Treatment (20 papers), HIV/AIDS Research and Interventions (11 papers) and HIV/AIDS drug development and treatment (11 papers). Ha Youn Lee is often cited by papers focused on HIV Research and Treatment (20 papers), HIV/AIDS Research and Interventions (11 papers) and HIV/AIDS drug development and treatment (11 papers). Ha Youn Lee collaborates with scholars based in United States, South Korea and Australia. Ha Youn Lee's co-authors include Alan S. Perelson, Sung Yong Park, Michael W. Deem, Thomas Leitner, Tanzy Love, Su‐Chan Park, Gayathri S. Athreya, Mehran Kardar, Hulin Wu and Tim R. Mosmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Bioinformatics.

In The Last Decade

Ha Youn Lee

35 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ha Youn Lee United States 17 390 332 229 223 204 38 880
Carsten Magnus Switzerland 17 452 1.2× 259 0.8× 207 0.9× 307 1.4× 150 0.7× 27 831
Viktor Müller Hungary 20 512 1.3× 457 1.4× 181 0.8× 175 0.8× 148 0.7× 44 983
William E. Diehl United States 14 346 0.9× 307 0.9× 289 1.3× 237 1.1× 205 1.0× 24 814
Giada Mattiuzzo United Kingdom 18 230 0.6× 399 1.2× 208 0.9× 133 0.6× 232 1.1× 48 841
Scott P. Layne United States 11 477 1.2× 322 1.0× 183 0.8× 210 0.9× 163 0.8× 18 854
Kshitij Wagh United States 16 489 1.3× 568 1.7× 294 1.3× 281 1.3× 121 0.6× 28 1.1k
Blandine Monel France 12 202 0.5× 603 1.8× 408 1.8× 254 1.1× 137 0.7× 14 1.1k
Rui Pedro Galão United Kingdom 17 330 0.8× 362 1.1× 383 1.7× 395 1.8× 249 1.2× 22 1.1k
Yi-Min Zheng United States 21 164 0.4× 1.0k 3.1× 468 2.0× 486 2.2× 262 1.3× 35 1.6k
Kristof Theys Belgium 17 465 1.2× 515 1.6× 212 0.9× 53 0.2× 180 0.9× 55 829

Countries citing papers authored by Ha Youn Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ha Youn Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ha Youn Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ha Youn Lee. A scholar is included among the top collaborators of Ha Youn 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 Ha Youn Lee. Ha Youn 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.
2.
Park, Sung Yong, et al.. (2024). Portable Nanopore sequencing solution for next-generation HIV drug resistance testing. Journal of Clinical Virology. 171. 105639–105639. 9 indexed citations
3.
Park, Sung Yong, et al.. (2023). Full-spectrum HIV drug resistance mutation detection by high-resolution complete pol gene sequencing. Journal of Clinical Virology. 164. 105491–105491. 6 indexed citations
4.
Park, Sung Yong, et al.. (2023). Immune cell identifier and classifier (ImmunIC) for single cell transcriptomic readouts. Scientific Reports. 13(1). 12093–12093. 6 indexed citations
5.
Kim, Jeong‐Min, Sung Yong Park, Dae-Sang Lee, et al.. (2021). Genomic investigation of the coronavirus disease-2019 outbreak in the Republic of Korea. Scientific Reports. 11(1). 6009–6009. 10 indexed citations
6.
Park, Sung Yong, et al.. (2021). Gut microbiome in people living with HIV is associated with impaired thiamine and folate syntheses. Microbial Pathogenesis. 160. 105209–105209. 6 indexed citations
7.
Park, Sung Yong, et al.. (2021). High-precision and cost-efficient sequencing for real-time COVID-19 surveillance. Scientific Reports. 11(1). 13669–13669. 14 indexed citations
8.
Park, Sung Yong, et al.. (2019). CCMP: Software-as-a-service approach for fully-automated microbiome profiling. Journal of Biomedical Informatics. 100. 100040–100040. 4 indexed citations
9.
Dubé, Michael P., Sung Yong Park, Heather Ross, et al.. (2018). Daily HIV pre-exposure prophylaxis (PrEP) with tenofovir disoproxil fumarate-emtricitabine reduced Streptococcus and increased Erysipelotrichaceae in rectal microbiota. Scientific Reports. 8(1). 15212–15212. 22 indexed citations
10.
Park, Sung Yong, Tanzy Love, Kathryn Anastos, et al.. (2017). The HIV Genomic Incidence Assay Meets False Recency Rate and Mean Duration of Recency Infection Performance Standards. Scientific Reports. 7(1). 7480–7480. 5 indexed citations
11.
Park, Sung Yong, et al.. (2013). Accurate structure prediction of peptide–MHC complexes for identifying highly immunogenic antigens. Molecular Immunology. 56(1-2). 81–90. 16 indexed citations
12.
Love, Tanzy, Sally W. Thurston, Michael C. Keefer, Stephen Dewhurst, & Ha Youn Lee. (2010). Mathematical Modeling of Ultradeep Sequencing Data Reveals that Acute CD8 + T-Lymphocyte Responses Exert Strong Selective Pressure in Simian Immunodeficiency Virus-Infected Macaques but Still Fail To Clear Founder Epitope Sequences. Journal of Virology. 84(11). 5802–5814. 18 indexed citations
13.
Bimber, Benjamin N., Pauline Chugh, Elena Giorgi, et al.. (2009). Nef gene evolution from a single transmitted strain in acute SIV infection. Retrovirology. 6(1). 57–57. 4 indexed citations
14.
Lee, Ha Youn, Edwin D. Hawkins, Martin S. Zand, et al.. (2009). Interpreting CFSE Obtained Division Histories of B Cells in Vitro with Smith–Martin and Cyton Type Models. Bulletin of Mathematical Biology. 71(7). 1649–1670. 20 indexed citations
15.
Lee, Ha Youn, Elena Giorgi, Brandon F. Keele, et al.. (2009). Modeling sequence evolution in acute HIV-1 infection. Journal of Theoretical Biology. 261(2). 341–360. 120 indexed citations
16.
Lee, Ha Youn, Alan S. Perelson, Su‐Chan Park, & Thomas Leitner. (2008). Dynamic Correlation between Intrahost HIV-1 Quasispecies Evolution and Disease Progression. PLoS Computational Biology. 4(12). e1000240–e1000240. 62 indexed citations
17.
Gordon, Shari N., Richard M. Dunham, Jessica C. Engram, et al.. (2008). Short-Lived Infected Cells Support Virus Replication in Sooty Mangabeys Naturally Infected with Simian Immunodeficiency Virus: Implications for AIDS Pathogenesis. Journal of Virology. 82(7). 3725–3735. 63 indexed citations
18.
Lee, Ha Youn & Alan S. Perelson. (2007). Modeling T Cell Proliferation and Death in Vitro Based on Labeling Data: Generalizations of the Smith–Martin Cell Cycle Model. Bulletin of Mathematical Biology. 70(1). 21–44. 27 indexed citations
19.
Park, YoungAh, et al.. (2003). Self-organized patterns in mixtures of microtubules and motor proteins. Journal of the Korean Physical Society. 42(1). 162–166. 19 indexed citations
20.
Deem, Michael W. & Ha Youn Lee. (2003). Sequence Space Localization in the Immune System Response to Vaccination and Disease. Physical Review Letters. 91(6). 68101–68101. 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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