Donghoon Lee

41.5k total citations · 1 hit paper
104 papers, 3.0k citations indexed

About

Donghoon Lee is a scholar working on Molecular Biology, Genetics and Computer Networks and Communications. According to data from OpenAlex, Donghoon Lee has authored 104 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 19 papers in Genetics and 17 papers in Computer Networks and Communications. Recurrent topics in Donghoon Lee's work include Advanced Authentication Protocols Security (14 papers), Genomics and Chromatin Dynamics (9 papers) and User Authentication and Security Systems (9 papers). Donghoon Lee is often cited by papers focused on Advanced Authentication Protocols Security (14 papers), Genomics and Chromatin Dynamics (9 papers) and User Authentication and Security Systems (9 papers). Donghoon Lee collaborates with scholars based in United States, South Korea and United Kingdom. Donghoon Lee's co-authors include Danny Reinberg, Alejandro Vaquero, Paul Tempst, Hediye Erdjument‐Bromage, Michael Scher, Wilbert van der Klaauw, Dongho Won, Jaewook Jung, Jiye Kim and Piroska E. Szabó and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Donghoon Lee

97 papers receiving 2.9k citations

Hit Papers

Human SirT1 Interacts with Histone H1 and Promotes Format... 2004 2026 2011 2018 2004 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Human SirT1 Interacts with Histone H1 and Promotes Formation of Facultative Heterochromatin
    2004 730 citations Donghoon Lee et al. profile →

Peers

Donghoon Lee
Alexander Aliper Russia
Yuichi Kaji Japan
Duygu Ucar United States
Wenbin Ma China
Fen Xia United States
Nilamadhab Mishra India
Stephen L. Abrams United States
Christopher A. Lee United States
Robert Carter United States
Jonathan D. Wren United States
Alexander Aliper Russia
Donghoon Lee
Citations per year, relative to Donghoon Lee Donghoon Lee (= 1×) peers Alexander Aliper

Countries citing papers authored by Donghoon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Donghoon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghoon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Donghoon Lee. A scholar is included among the top collaborators of Donghoon 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 Donghoon Lee. Donghoon 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.
Cheng, Lijun, Jason Liu, Gaoyuan Wang, et al.. (2025). A map of enhancer regions in primary human neural progenitor cells using capture STARR-seq. Genome Research. 35(8). 1887–1901. 1 indexed citations
2.
Fullard, John F., Donghoon Lee, Deepika Mathur, et al.. (2025). Population-scale cross-disorder atlas of the human prefrontal cortex at single-cell resolution. Scientific Data. 12(1). 954–954.
3.
Lee, Donghoon, et al.. (2024). Intermediation frictions in debt relief: Evidence from CARES Act forbearance. Journal of Financial Economics. 158. 103873–103873. 1 indexed citations
4.
Dai, Rujia, Ming Zhang, Xuan Wang, et al.. (2024). Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data. Science Advances. 10(21). eadh2588–eadh2588. 6 indexed citations
5.
Mentis, Alexios‐Fotios A., Donghoon Lee, & Panos Roussos. (2023). Applications of artificial intelligence−machine learning for detection of stress: a critical overview. Molecular Psychiatry. 29(6). 1882–1894. 37 indexed citations
6.
Zhang, Jing, Jason Liu, Zixuan Zhang, et al.. (2021). SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments. Bioinformatics. 37(12). 1756–1758. 7 indexed citations
7.
Zhang, Jing, Jason Liu, Yi Dai, et al.. (2021). DECODE: a De ep-learning framework for Co n de nsing enhancers and refining boundaries with large-scale functional assays. Bioinformatics. 37(Supplement_1). i280–i288. 8 indexed citations
8.
Haughwout, Andrew F., et al.. (2021). What’s Next for Forborne Borrowers?. Liberty Street Economics. 2 indexed citations
9.
Lou, Shaoke, Tianxiao Li, Xiangmeng Kong, et al.. (2020). TopicNet: a framework for measuring transcriptional regulatory network change. Bioinformatics. 36(Supplement_1). i474–i481. 18 indexed citations
10.
Haughwout, Andrew F., et al.. (2020). A Monthly Peek into Americans’ Credit During the COVID-19 Pandemic. Liberty Street Economics. 6 indexed citations
11.
He, Yongfeng, D. T. Johnson, Julie Yang, et al.. (2019). Loss of the tumor suppressor, Tp53, enhances the androgen receptor-mediated oncogenic transformation and tumor development in the mouse prostate. Oncogene. 38(38). 6507–6520. 8 indexed citations
12.
Driscoll, Tristan P., Dionna M. Kasper, Nicolas Baeyens, et al.. (2019). MicroRNA-dependent regulation of biomechanical genes establishes tissue stiffness homeostasis. Nature Cell Biology. 21(3). 348–358. 54 indexed citations
13.
Jung, Hyunchul, Donghoon Lee, Jongkeun Lee, et al.. (2015). Intron retention is a widespread mechanism of tumor-suppressor inactivation. Nature Genetics. 47(11). 1242–1248. 251 indexed citations
14.
Yoon, Kyong‐Ah, et al.. (2014). Genetic Variations Associated with Postoperative Recurrence in Stage I Non–Small Cell Lung Cancer. Clinical Cancer Research. 20(12). 3272–3279. 11 indexed citations
15.
Lee, Donghoon, et al.. (2011). Fast Group Rekeying Scheme for Secure Multicast in Wireless Sensor Networks. Information Security and Cryptology. 21(3). 75–88. 1 indexed citations
16.
Kim, Injung, et al.. (2010). Isolation and Expression Patterns of a Zeta-carotene Desaturase Gene from Citrus. Horticulture Environment and Biotechnology. 51(6). 551–555. 6 indexed citations
17.
Hwang, Jungyeon, et al.. (2009). ID-Based Proxy Re-encryption Scheme with Chosen-Ciphertext Security. Journal of the Institute of Electronics Engineers of Korea. 46(1). 64–77. 1 indexed citations
18.
Hatton, Beryl A., Elisabeth H. Villavicencio, Karen D. Tsuchiya, et al.. (2008). The Smo/Smo Model: Hedgehog-Induced Medulloblastoma with 90% Incidence and Leptomeningeal Spread. Cancer Research. 68(6). 1768–1776. 137 indexed citations
19.
Yun, Su Hyun, et al.. (2008). Development a SCAR Marker Linked to Polyembryonic Trait in Citrus. Horticultural Science and Technology. 26(1). 51–55. 4 indexed citations
20.
Lee, Donghoon, et al.. (2006). One-round Protocols for Two-Party Authenticated Key Exchange. 33. 110–118. 1 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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