Dongwon Lee

5.3k total citations · 1 hit paper
37 papers, 1.9k citations indexed

About

Dongwon Lee is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Dongwon Lee has authored 37 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Pharmacology. Recurrent topics in Dongwon Lee's work include Genomics and Chromatin Dynamics (12 papers), RNA and protein synthesis mechanisms (9 papers) and Genetic Associations and Epidemiology (9 papers). Dongwon Lee is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), RNA and protein synthesis mechanisms (9 papers) and Genetic Associations and Epidemiology (9 papers). Dongwon Lee collaborates with scholars based in United States, South Korea and Iran. Dongwon Lee's co-authors include M Beer, Mahmoud Ghandi, Morteza Mohammad-Noori, Rachel Karchin, Andrew S. McCallion, David U. Gorkin, Maggie Baker, Benjamin J. Strober, Kun Yang and Joel S. Bader and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Dongwon Lee

33 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Design of a synthetic yeast genome

2017 386 citations Dongwon Lee et al. profile →

Peers

Dongwon Lee

MB

GENET

PS

CR

SURGE

G. Thomas Hayman United States

Christopher Plaisier United States

Weimin Zhang China

Linda Hsie United States

Guolin Zhou United States

Marta Grzelak United Kingdom

Matthew H. Wilson United States

Frans Gerbens Netherlands

Valerio Costa Italy

G. Thomas Hayman United States

Dongwon Lee

984 ×0.6

MB

293 ×0.7

GENET

209 ×1.4

PS

87 ×0.7

CR

55 ×0.7

SURGE

Citations per year, relative to Dongwon Lee Dongwon Lee (= 1×) peers G. Thomas Hayman

Countries citing papers authored by Dongwon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Dongwon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongwon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dongwon Lee. A scholar is included among the top collaborators of Dongwon 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 Dongwon Lee. Dongwon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lee, Dongwon, et al.. (2025). Identification and Functional Assessment of Candidate Causal Cis -Regulatory Variants Underlying Electrocardiographic QT Interval GWAS Loci. Circulation Genomic and Precision Medicine. 18(3). e005032–e005032.

2.

Mathiyalagan, Prabhu, Santhi K. Ganesh, Luke Zhu, et al.. (2024). Identification of the Molecular Components of Enhancer-Mediated Gene Expression Variation in Multiple Tissues Regulating Blood Pressure. Hypertension. 81(7). 1500–1510. 2 indexed citations

3.

Han, Seong Kyu, Michelle T. McNulty, Christopher J. Benway, et al.. (2023). Mapping genomic regulation of kidney disease and traits through high-resolution and interpretable eQTLs. Nature Communications. 14(1). 2229–2229. 11 indexed citations

4.

Shin, Seung‐Heon, et al.. (2023). Immunopathologic Role of Fungi in Chronic Rhinosinusitis. International Journal of Molecular Sciences. 24(3). 2366–2366. 10 indexed citations

5.

Lee, Dongwon, et al.. (2023). Tissue-specific and tissue-agnostic effects of genome sequence variation modulating blood pressure. Cell Reports. 42(11). 113351–113351. 5 indexed citations

6.

Lee, Dongwon, Wu Chen, Armand Soriano, et al.. (2023). Antisense oligonucleotide therapy rescues disturbed brain rhythms and sleep in juvenile and adult mouse models of Angelman syndrome. eLife. 12. 12 indexed citations

7.

Kim, Yoo-Bhin, Da‐Hye Kim, Dongwon Lee, et al.. (2021). Dietary soluble flaxseed oils as a source of omega-3 polyunsaturated fatty acids for laying hens. Poultry Science. 100(8). 101276–101276. 22 indexed citations

8.

Nandakumar, Priyanka, Dongwon Lee, Thomas J. Hoffmann, et al.. (2020). Analysis of putative cis-regulatory elements regulating blood pressure variation. Human Molecular Genetics. 29(11). 1922–1932. 9 indexed citations

9.

Shin, Seung‐Heon, et al.. (2018). Effect of microencapsulated essential oil form Chamaecyparis obtusa on monocyte-derived dendritic cell activation and CD4+ T cell polarization. PLoS ONE. 13(7). e0201233–e0201233. 5 indexed citations

10.

Nandakumar, Priyanka, Dongwon Lee, Melissa A. Richard, et al.. (2017). Rare coding variants associated with blood pressure variation in 15 914 individuals of African ancestry. Journal of Hypertension. 35(7). 1381–1389. 15 indexed citations

11.

Kapoor, Ashish, Linda Xu, Priyanka Nandakumar, et al.. (2016). Rare coding TTN variants are associated with electrocardiographic QT interval in the general population. Scientific Reports. 6(1). 28356–28356. 7 indexed citations

12.

Ghandi, Mahmoud, Dongwon Lee, Morteza Mohammad-Noori, & M Beer. (2014). Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features. PLoS Computational Biology. 10(7). e1003711–e1003711. 328 indexed citations

13.

Lee, Dongwon, et al.. (2013). kmer-SVM: a web server for identifying predictive regulatory sequence features in genomic data sets. Nucleic Acids Research. 41(W1). W544–W556. 99 indexed citations

14.

Gorkin, David U., Dongwon Lee, Xylena Reed, et al.. (2012). Integration of ChIP-seq and machine learning reveals enhancers and a predictive regulatory sequence vocabulary in melanocytes. Genome Research. 22(11). 2290–2301. 54 indexed citations

15.

Lee, Dongwon, Rachel Karchin, & M Beer. (2011). Discriminative prediction of mammalian enhancers from DNA sequence. Genome Research. 21(12). 2167–2180. 207 indexed citations

16.

Lee, Dongwon, et al.. (2007). Profitability and Publicity of the Regional Public Hospitals in Korea - With focus on administration assessment of regional public hospitals -. 12(2). 43–68. 2 indexed citations

17.

Kim, Kyung Soo, et al.. (2006). A clinical report on psychogenic child enuresis treated by oriental medicine psychological care. Journal of Oriental Neuropsychiatry. 17(2). 209–215. 1 indexed citations

18.

Lee, Dongwon, et al.. (2004). A Psychotherapy of Oriental Medicine - Focus on Psychoanalysis-. 15(1). 143–148. 2 indexed citations

19.

Lee, Dongwon, et al.. (2001). Literatual Study on Pathology of Insomnia. Journal of Oriental Neuropsychiatry. 12(1). 81–95. 2 indexed citations

20.

Lee, Dongwon & Eunjung Kim. (2001). The Clinical Report about two Conversion Disorder Patient resulted from School Work. Journal of Oriental Neuropsychiatry. 12(2). 215–221.

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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