Philip W. Lee

4.0k total citations · 1 hit paper
36 papers, 3.1k citations indexed

About

Philip W. Lee is a scholar working on Computational Theory and Mathematics, Molecular Biology and Food Science. According to data from OpenAlex, Philip W. Lee has authored 36 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 11 papers in Molecular Biology and 7 papers in Food Science. Recurrent topics in Philip W. Lee's work include Computational Drug Discovery Methods (18 papers), Pesticide Residue Analysis and Safety (6 papers) and Pesticide and Herbicide Environmental Studies (5 papers). Philip W. Lee is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Pesticide Residue Analysis and Safety (6 papers) and Pesticide and Herbicide Environmental Studies (5 papers). Philip W. Lee collaborates with scholars based in China, United States and Japan. Philip W. Lee's co-authors include Yun Tang, Weihua Li, Guixia Liu, Feixiong Cheng, Jie Shen, Yadi Zhou, Zengrui Wu, Xuhong Qian, Song Cao and Zheng Du and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Chemosphere and Food Control.

In The Last Decade

Philip W. Lee

36 papers receiving 3.0k 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.

admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties

2012 1.7k citations Feixiong Cheng, Weihua Li et al. Journal of Chemical Information and Modeling profile →

Peers

Philip W. Lee

CTM

MB

OC

PHARM

Hongbin Yang China

Jérôme Eberhardt United States

Priyanka Banerjee Germany

Mathias Dunkel Germany

Steven J. Enoch United Kingdom

Zengrui Wu China

Achintya Saha India

Feroz Khan India

Luciana Scotti Brazil

Hongbin Yang China

Philip W. Lee

1.5k ×1.1

CTM

1.3k ×1.2

MB

512 ×0.7

OC

419 ×1.1

PHARM

284 ×0.8

PHARM

Citations per year, relative to Philip W. Lee Philip W. Lee (= 1×) peers Hongbin Yang

Countries citing papers authored by Philip W. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Philip W. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip W. Lee

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

All Works

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20 of 20 papers shown

1.

Lou, Chaofeng, Hongbin Yang, Weihua Li, et al.. (2023). Chemical rules for optimization of chemical mutagenicity via matched molecular pairs analysis and machine learning methods. Journal of Cheminformatics. 15(1). 35–35. 8 indexed citations

2.

Lou, Chaofeng, Hongbin Yang, Weihua Li, et al.. (2022). IDL-PPBopt: A Strategy for Prediction and Optimization of Human Plasma Protein Binding of Compounds via an Interpretable Deep Learning Method. Journal of Chemical Information and Modeling. 62(11). 2788–2799. 13 indexed citations

3.

Lou, Chaofeng, Zengrui Wu, Weihua Li, et al.. (2022). In silico prediction of UGT-mediated metabolism in drug-like molecules via graph neural network. Journal of Cheminformatics. 14(1). 46–46. 11 indexed citations

4.

Cai, Yingchun, Hongbin Yang, Weihua Li, et al.. (2018). Computational Prediction of Site of Metabolism for UGT-Catalyzed Reactions. Journal of Chemical Information and Modeling. 59(3). 1085–1095. 22 indexed citations

5.

Zhang, Chen, Feixiong Cheng, Weihua Li, et al.. (2016). In silico Prediction of Drug Induced Liver Toxicity Using Substructure Pattern Recognition Method. Molecular Informatics. 35(3-4). 136–144. 70 indexed citations

6.

Zhang, Chen, Yuan Zhou, Zengrui Wu, et al.. (2016). In silico prediction of hERG potassium channel blockage by chemical category approaches. Toxicology Research. 5(2). 570–582. 58 indexed citations

7.

Cheng, Feixiong, Shulin Zhuang, Weihua Li, et al.. (2014). In silico prediction of chemical toxicity on avian species using chemical category approaches. Chemosphere. 122. 280–287. 41 indexed citations

8.

Cheng, Feixiong, Weihua Li, Yadi Zhou, et al.. (2013). Prediction of human genes and diseases targeted by xenobiotics using predictive toxicogenomic-derived models (PTDMs). Molecular BioSystems. 9(6). 1316–1325. 25 indexed citations

9.

Xu, Congying, Feixiong Cheng, Lei Chen, et al.. (2012). In silico Prediction of Chemical Ames Mutagenicity. Journal of Chemical Information and Modeling. 52(11). 2840–2847. 194 indexed citations

10.

Ge, Jing, et al.. (2011). Rapid determination of melamine in soil and strawberry by liquid chromatography–tandem mass spectrometry. Food Control. 22(10). 1629–1633. 32 indexed citations

11.

Cheng, Feixiong, Yue Yu, Jie Shen, et al.. (2011). Classification of Cytochrome P450 Inhibitors and Noninhibitors Using Combined Classifiers. Journal of Chemical Information and Modeling. 51(5). 996–1011. 169 indexed citations

12.

Cheng, Feixiong, Jie Shen, Yue Yu, et al.. (2010). In silico prediction of Tetrahymena pyriformis toxicity for diverse industrial chemicals with substructure pattern recognition and machine learning methods. Chemosphere. 82(11). 1636–1643. 79 indexed citations

13.

Qian, Xuhong, Philip W. Lee, & Song Cao. (2010). China: Forward to the Green Pesticides via a Basic Research Program. Journal of Agricultural and Food Chemistry. 58(5). 2613–2623. 130 indexed citations

14.

Lee, Philip W., et al.. (1999). Comparative metabolism of famoxadone in fish, plants and animals. Pesticide Science. 55(5). 589–594. 3 indexed citations

15.

Lee, Philip W., et al.. (1992). Application of thermospray LC/MS for residue analysis of sulfonylurea herbicides and their degradation products. Journal of Agricultural and Food Chemistry. 40(3). 513–517. 48 indexed citations

16.

Lee, Philip W., et al.. (1990). Fate of monocrotophos in the environment. Journal of Agricultural and Food Chemistry. 38(2). 567–573. 36 indexed citations

17.

Lee, Philip W., et al.. (1988). O-Acylation as a novel conjugation pathway for cinmethylin in rats. Journal of Agricultural and Food Chemistry. 36(1). 95–97. 2 indexed citations

18.

Lee, Philip W., et al.. (1987). Comparative aerobic soil metabolism of fenvalerate isomers. Journal of Agricultural and Food Chemistry. 35(3). 384–387. 11 indexed citations

19.

Lee, Philip W., et al.. (1986). Metabolic fate of cinmethylin in rats. Journal of Agricultural and Food Chemistry. 34(2). 162–170. 4 indexed citations

20.

Lee, Philip W.. (1985). Fate of fenvalerate (Pydrin insecticide) in the soil environment. Journal of Agricultural and Food Chemistry. 33(5). 993–998. 7 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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