Doo Young Lee

1.6k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Doo Young Lee is a scholar working on Global and Planetary Change, Atmospheric Science and Molecular Biology. According to data from OpenAlex, Doo Young Lee has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 8 papers in Molecular Biology. Recurrent topics in Doo Young Lee's work include Climate variability and models (15 papers), Meteorological Phenomena and Simulations (12 papers) and Oceanographic and Atmospheric Processes (5 papers). Doo Young Lee is often cited by papers focused on Climate variability and models (15 papers), Meteorological Phenomena and Simulations (12 papers) and Oceanographic and Atmospheric Processes (5 papers). Doo Young Lee collaborates with scholars based in South Korea, United States and China. Doo Young Lee's co-authors include Mark R. Lehto, Joong‐Bae Ahn, Karumuri Ashok, Donghee Shin, Hokyoung Ryu, June‐Yi Lee, Xianglan Zhang, Soon‐Tae Lee, Daejong Jeon and Jun‐Sang Sunwoo and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Geophysical Research Letters.

In The Last Decade

Doo Young Lee

40 papers receiving 1.1k citations

Hit Papers

User acceptance of YouTube for procedural learning: An ex... 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
Doo Young Lee South Korea 17 269 233 208 198 189 43 1.2k
David Robins United States 22 84 0.3× 235 1.0× 233 1.1× 39 0.2× 80 0.4× 63 1.6k
Ho Hong Kong 16 214 0.8× 292 1.3× 47 0.2× 107 0.5× 114 0.6× 131 1.3k
Chris Park United States 22 154 0.6× 161 0.7× 71 0.3× 15 0.1× 195 1.0× 87 2.5k
Liz Allen United Kingdom 12 226 0.8× 108 0.5× 27 0.1× 17 0.1× 117 0.6× 25 1.6k
Yue Chen China 16 44 0.2× 151 0.6× 42 0.2× 12 0.1× 173 0.9× 106 1.1k
Wenlan Wang China 20 16 0.1× 65 0.3× 27 0.1× 35 0.2× 388 2.1× 53 1.3k
Daniel Richter Germany 17 90 0.3× 186 0.8× 63 0.3× 34 0.2× 108 0.6× 61 909
Barbara R. Jasny United States 14 47 0.2× 52 0.2× 46 0.2× 12 0.1× 161 0.9× 78 708
Hub Zwart Netherlands 16 82 0.3× 202 0.9× 80 0.4× 11 0.1× 168 0.9× 149 1.1k

Countries citing papers authored by Doo Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Doo Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doo Young Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Doo Young Lee. A scholar is included among the top collaborators of Doo Young 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 Doo Young Lee. Doo Young 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.
Lee, Doo Young, et al.. (2025). The emergence of a dipole-like mode in Arctic atmospheric circulation conducive to European heat waves. Communications Earth & Environment. 6(1).
2.
Lee, Doo Young, Sang‐Wook Yeh, Hyein Jeong, & Hyo‐Seok Park. (2025). Changes in the role of Pacific decadal oscillation on East Asian winter surface temperature. Environmental Research Letters. 20(2). 24062–24062. 2 indexed citations
4.
Lee, Doo Young, Jaeseung Shin, Sung‐Won Kim, et al.. (2023). Radiomics model versus 2017 revised international consensus guidelines for predicting malignant intraductal papillary mucinous neoplasms. European Radiology. 34(2). 1222–1231. 6 indexed citations
5.
Lee, Doo Young, Francisco J. Doblas‐Reyes, Verónica Torralba, & Nube González-Reviriego. (2019). Multi-model seasonal forecasts for the wind energy sector. Climate Dynamics. 53(5-6). 2715–2729. 8 indexed citations
6.
Lee, Doo Young, et al.. (2019). PKM2 enhances cancer invasion via ETS-1-dependent induction of matrix metalloproteinase in oral squamous cell carcinoma cells. PLoS ONE. 14(5). e0216661–e0216661. 11 indexed citations
7.
Park, Iha, Jung Yoon Bae, Doo Young Lee, et al.. (2015). A Distinct Role for Interleukin‐6 as a Major Mediator of Cellular Adjustment to an Altered Culture Condition. Journal of Cellular Biochemistry. 116(11). 2552–2562. 3 indexed citations
8.
Lee, Doo Young, Jangsup Moon, Soon‐Tae Lee, et al.. (2015). Dysregulation of long non-coding RNAs in mouse models of localization-related epilepsy. Biochemical and Biophysical Research Communications. 462(4). 433–440. 54 indexed citations
9.
Park, Yong‐Jin, Jinmi Kim, Doo Young Lee, et al.. (2015). Areca nut exposure increases secretion of tumor‐promoting cytokines in gingival fibroblasts that trigger DNA damage in oral keratinocytes. International Journal of Cancer. 137(11). 2545–2557. 36 indexed citations
10.
Lee, Doo Young, Jangsup Moon, Soon‐Tae Lee, et al.. (2015). Distinct Expression of Long Non-Coding RNAs in an Alzheimer's Disease Model. Journal of Alzheimer s Disease. 45(3). 837–849. 53 indexed citations
11.
Sunwoo, Jun‐Sang, Soon‐Tae Lee, Jung‐Ick Byun, et al.. (2015). Clinical manifestations of patients with CASPR2 antibodies. Journal of Neuroimmunology. 281. 17–22. 45 indexed citations
12.
Chowdary, Jasti S., Raju Attada, June‐Yi Lee, et al.. (2014). Seasonal Prediction of Distinct Climate Anomalies in Summer 2010 over the Tropical Indian Ocean and South Asia. Journal of the Meteorological Society of Japan Ser II. 92(1). 1–16. 15 indexed citations
13.
Zhang, Xianglan, Zhenlong Zheng, Hye‐Yeon Kim, et al.. (2014). Downregulation of glutathione peroxidase 3 is associated with lymph node metastasis and prognosis in cervical cancer. Oncology Reports. 31(6). 2587–2592. 42 indexed citations
15.
Lee, Doo Young, Joong‐Bae Ahn, Karumuri Ashok, & Andrea Alessandri. (2013). Improvement of grand multi‐model ensemble prediction skills for the coupled models of APCC/ENSEMBLES using a climate filter. Atmospheric Science Letters. 14(3). 139–145. 9 indexed citations
16.
Bae, Jung Yoon, Doo Young Lee, Hyun Ju You, et al.. (2013). RUNX3 confers sensitivity to pheophorbide a-photodynamic therapy in human oral squamous cell carcinoma cell lines. Lasers in Medical Science. 30(2). 499–507. 10 indexed citations
17.
Lee, Doo Young, et al.. (2008). Infective Endocarditis Not Easily Diagnosed in Primary Care.. Gajeong yihag hoeji. 29(6). 431–437.
18.
Choi, Eun Jin, et al.. (2007). Relationship of Left Ventricular Mass to Obesity in Normotensive Adults.. Gajeong yihag hoeji. 28(4). 249–255. 2 indexed citations
19.
Choi, Yeon Sook, Doo Young Lee, Ick Young Kim, et al.. (2007). Enhancement of erythropoietin production in recombinant Chinese hamster ovary cells by sodium lactate addition. Biotechnology and Bioprocess Engineering. 12(1). 60–72. 20 indexed citations
20.
Kim, Seong Ho, et al.. (2005). Clinicopathologic Features and Clinical Significance of Small and Diminutive Colorectal Polyps. 21(1). 6–12. 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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