Pedro Lee

4.7k total citations · 1 hit paper
89 papers, 3.8k citations indexed

About

Pedro Lee is a scholar working on Civil and Structural Engineering, Materials Chemistry and Ocean Engineering. According to data from OpenAlex, Pedro Lee has authored 89 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Civil and Structural Engineering, 30 papers in Materials Chemistry and 21 papers in Ocean Engineering. Recurrent topics in Pedro Lee's work include Water Systems and Optimization (64 papers), Geotechnical Engineering and Underground Structures (38 papers) and High voltage insulation and dielectric phenomena (30 papers). Pedro Lee is often cited by papers focused on Water Systems and Optimization (64 papers), Geotechnical Engineering and Underground Structures (38 papers) and High voltage insulation and dielectric phenomena (30 papers). Pedro Lee collaborates with scholars based in New Zealand, Hong Kong and United States. Pedro Lee's co-authors include Huan‐Feng Duan, Mohamed S. Ghidaoui, Bryan Karney, John P. Vítkovský, Andrew F. Colombo, Angus R. Simpson, Martin F. Lambert, James A. Liggett, Yeou‐Koung Tung and Tong‐Chuan Che and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Pedro Lee

89 papers receiving 3.8k citations

Hit Papers

A selective literature re... 2009 2026 2014 2020 2009 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pedro Lee 2.8k 981 950 668 466 89 3.8k
Xihong Zhang 2.0k 0.7× 472 0.5× 102 0.1× 929 1.4× 621 1.3× 189 4.0k
Jong‐Sub Lee 2.5k 0.9× 316 0.3× 921 1.0× 757 1.1× 154 0.3× 319 4.8k
Zhi Wang 769 0.3× 335 0.3× 176 0.2× 480 0.7× 162 0.3× 189 2.2k
Gao‐Feng Zhao 1.6k 0.6× 581 0.6× 1.0k 1.1× 439 0.7× 27 0.1× 173 3.7k
Cunbao Li 853 0.3× 196 0.2× 1.3k 1.4× 836 1.3× 65 0.1× 147 3.6k
Chao Liu 1.5k 0.5× 239 0.2× 634 0.7× 689 1.0× 43 0.1× 215 3.0k
Liang Tang 1.2k 0.4× 351 0.4× 95 0.1× 220 0.3× 222 0.5× 187 2.8k
James M. Kelly 7.8k 2.8× 501 0.5× 233 0.2× 955 1.4× 122 0.3× 227 10.0k
Xiongfei Liu 384 0.1× 215 0.2× 347 0.4× 357 0.5× 238 0.5× 101 1.7k
Qiang Cheng 1.0k 0.4× 283 0.3× 97 0.1× 249 0.4× 92 0.2× 179 3.0k

Countries citing papers authored by Pedro Lee

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Lee. A scholar is included among the top collaborators of Pedro 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 Pedro Lee. Pedro 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.
Davidson, M. J., et al.. (2025). Turbulent fluxes, integral model coefficients, and desalination discharge predictions. Desalination. 614. 119137–119137. 1 indexed citations
2.
Zhou, Ling, et al.. (2024). Modeling Interactions between Hydraulic Transients and Inline Air Pockets in Water Pipelines: Dynamic Behavior and Energy Dissipation. Journal of Hydraulic Engineering. 150(6). 2 indexed citations
3.
Lin, Kae‐Long, Wei‐Ting Lin, Lukáš Fiala, et al.. (2024). Performance studies of premixed blended hydraulic cement to revolutionize concrete production. Materials Science-Poland. 42(3). 139–159. 1 indexed citations
4.
Zhang, Ying, Alireza Keramat, Bin Pan, et al.. (2023). Transient wave-leak interaction analysis for improved leak detection in viscoelastic pipelines. Measurement. 208. 112442–112442. 8 indexed citations
5.
Li, Zhao & Pedro Lee. (2023). Whitening method for passive water pipeline assessment using ambient noise. Mechanical Systems and Signal Processing. 205. 110859–110859. 1 indexed citations
6.
Palacino, James, Yong Yi, Anna Skaletskaya, et al.. (2022). Abstract 3933: ORM-5029: A first-in-class targeted protein degradation therapy using antibody neodegrader conjugate (AnDC) for HER2-expressing breast cancer. Cancer Research. 82(12_Supplement). 3933–3933. 19 indexed citations
7.
Li, Zhao, et al.. (2021). Comparison of Numerical Models for the Interaction of a Fluid Transient with an Offline Air Pocket. Journal of Hydraulic Engineering. 147(5). 7 indexed citations
8.
Yan, Xu‐Feng, et al.. (2020). Investigation of Transient Wave Behavior in Water Pipelines with Blockages. Journal of Hydraulic Engineering. 147(2). 13 indexed citations
9.
Li, Zhao, et al.. (2020). Experimental Investigation of the Effects of Air Pocket Configuration on Fluid Transients in a Pipeline. Journal of Hydraulic Engineering. 146(12). 6 indexed citations
10.
Che, Tong‐Chuan, Huan‐Feng Duan, Bin Pan, Pedro Lee, & Mohamed S. Ghidaoui. (2019). Energy Analysis of the Resonant Frequency Shift Pattern Induced by Nonuniform Blockages in Pressurized Water Pipes. Journal of Hydraulic Engineering. 145(7). 25 indexed citations
11.
Lee, Pedro, Mark Davidson, Zhao Li, et al.. (2019). Experimental Investigation of the Interaction of Fluid Transients with an In-Line Air Pocket. Journal of Hydraulic Engineering. 146(3). 14 indexed citations
12.
Hong, Seon-Hui, Nari Seo, Tae‐Shin Kim, et al.. (2019). Structure-based glycoengineering of interferon lambda 4 enhances its productivity and anti-viral potency. Cytokine. 125. 154833–154833. 9 indexed citations
13.
Lee, Pedro, et al.. (2019). Synaptic organizer: Slitrks and type IIa receptor protein tyrosine phosphatases. Current Opinion in Structural Biology. 54. 95–103. 16 indexed citations
14.
Duan, Huan‐Feng, Tong‐Chuan Che, Pedro Lee, & Mohamed S. Ghidaoui. (2018). Influence of nonlinear turbulent friction on the system frequency response in transient pipe flow modelling and analysis. Journal of Hydraulic Research. 56(4). 451–463. 34 indexed citations
15.
Jing, Liwen, Zhao Li, Wenjie Wang, et al.. (2018). An approximate inverse scattering technique for reconstructing blockage profiles in water pipelines using acoustic transients. The Journal of the Acoustical Society of America. 143(5). EL322–EL327. 33 indexed citations
16.
Gao, Zhonghua, et al.. (2014). An AUTS2–Polycomb complex activates gene expression in the CNS. Nature. 516(7531). 349–354. 229 indexed citations
17.
Du, Fei, Yoshikazu Nakamura, Pedro Lee, et al.. (2010). Expression of Snail in Epidermal Keratinocytes Promotes Cutaneous Inflammation and Hyperplasia Conducive to Tumor Formation. Cancer Research. 70(24). 10080–10089. 45 indexed citations
18.
Lee, Pedro, et al.. (2009). Dynamic expression of epidermal caspase 8 simulates a wound healing response. Nature. 458(7237). 519–523. 124 indexed citations
19.
Lee, Pedro & John P. Vítkovský. (2008). Discussion of “Detection of Partial Blockage in Single Pipelines” by P. K. Mohapatra, M. H. Chaudhry, A. A. Kassem, and J. Moloo. Journal of Hydraulic Engineering. 134(6). 874–876. 22 indexed citations
20.
Jamora, Colin, Pedro Lee, Paweł Kocieniewski, et al.. (2004). A Signaling Pathway Involving TGF-β2 and Snail in Hair Follicle Morphogenesis. PLoS Biology. 3(1). e11–e11. 116 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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