Man‐Ling Lee

853 total citations
17 papers, 629 citations indexed

About

Man‐Ling Lee is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Man‐Ling Lee has authored 17 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 6 papers in Spectroscopy. Recurrent topics in Man‐Ling Lee's work include Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (4 papers) and Chemical Synthesis and Analysis (3 papers). Man‐Ling Lee is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (4 papers) and Chemical Synthesis and Analysis (3 papers). Man‐Ling Lee collaborates with scholars based in Germany, United States and Switzerland. Man‐Ling Lee's co-authors include Gisbert Schneider, Alberto Gobbi, Martin Ståhl, Petra Schneider, Ignacio Aliagas, Benjamin D. Sellers, Jonathan Cheong, Laurent Salphati, Jianwen A. Feng and Daniel F. Ortwine and has published in prestigious journals such as Journal of Chemical Information and Modeling, Molecular Pharmaceutics and ACS Chemical Biology.

In The Last Decade

Man‐Ling Lee

17 papers receiving 578 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Man‐Ling Lee Germany 12 399 384 155 143 84 17 629
Mike Hann United Kingdom 4 374 0.9× 393 1.0× 146 0.9× 81 0.6× 68 0.8× 6 628
Peter Monecke Germany 12 433 1.1× 345 0.9× 104 0.7× 75 0.5× 139 1.7× 19 726
Florence L. Stahura United States 16 526 1.3× 605 1.6× 138 0.9× 129 0.9× 122 1.5× 30 832
Michael Reutlinger Switzerland 17 604 1.5× 598 1.6× 207 1.3× 190 1.3× 178 2.1× 40 990
Linda Traphagen United States 6 389 1.0× 413 1.1× 88 0.6× 117 0.8× 67 0.8× 10 645
Nicolas Triballeau France 11 567 1.4× 378 1.0× 192 1.2× 94 0.7× 88 1.0× 13 895
Jeffrey W. Godden United States 19 539 1.4× 663 1.7× 105 0.7× 127 0.9× 139 1.7× 32 874
Mehran Jalaie United States 16 454 1.1× 312 0.8× 218 1.4× 56 0.4× 95 1.1× 25 794
Edward P. Jaeger United States 13 532 1.3× 442 1.2× 166 1.1× 65 0.5× 117 1.4× 22 820
Ed Griffen United Kingdom 11 434 1.1× 482 1.3× 215 1.4× 97 0.7× 124 1.5× 15 775

Countries citing papers authored by Man‐Ling Lee

Since Specialization
Citations

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

Fields of papers citing papers by Man‐Ling Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Man‐Ling Lee

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

All Works

17 of 17 papers shown
1.
Lee, Man‐Ling, Sherif S. Farag, Charlene Bashore, et al.. (2023). Identification of Macrocyclic Peptide Families from Combinatorial Libraries Containing Noncanonical Amino Acids Using Cheminformatics and Bioinformatics Inspired Clustering. ACS Chemical Biology. 18(6). 1425–1434. 7 indexed citations
2.
Aliagas, Ignacio, Alberto Gobbi, Man‐Ling Lee, & Benjamin D. Sellers. (2022). Comparison of logP and logD correction models trained with public and proprietary data sets. Journal of Computer-Aided Molecular Design. 36(3). 253–262. 18 indexed citations
3.
Lee, Man‐Ling, Ignacio Aliagas, Jianwen A. Feng, et al.. (2017). chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery. Journal of Cheminformatics. 9(1). 38–38. 12 indexed citations
4.
Broccatelli, Fabio, Laurent Salphati, Emile G. Plise, et al.. (2016). Predicting Passive Permeability of Drug-like Molecules from Chemical Structure: Where Are We?. Molecular Pharmaceutics. 13(12). 4199–4208. 34 indexed citations
5.
Gobbi, Alberto, Anthony M. Giannetti, Huifen Chen, & Man‐Ling Lee. (2015). Atom-Atom-Path similarity and Sphere Exclusion clustering: tools for prioritizing fragment hits. Journal of Cheminformatics. 7(1). 11–11. 11 indexed citations
6.
Feng, Jianwen A., Ignacio Aliagas, Philippe Bergeron, et al.. (2015). An integrated suite of modeling tools that empower scientists in structure- and property-based drug design. Journal of Computer-Aided Molecular Design. 29(6). 511–523. 14 indexed citations
7.
Aliagas, Ignacio, Alberto Gobbi, Timothy P. Heffron, et al.. (2015). A probabilistic method to report predictions from a human liver microsomes stability QSAR model: a practical tool for drug discovery. Journal of Computer-Aided Molecular Design. 29(4). 327–338. 23 indexed citations
8.
Gobbi, Alberto & Man‐Ling Lee. (2011). Handling of Tautomerism and Stereochemistry in Compound Registration. Journal of Chemical Information and Modeling. 52(2). 285–292. 11 indexed citations
9.
Lee, Man‐Ling, Ignacio Aliagas, Jennafer Dotson, et al.. (2011). DEGAS: Sharing and Tracking Target Compound Ideas with External Collaborators. Journal of Chemical Information and Modeling. 52(2). 278–284. 12 indexed citations
10.
Gobbi, Alberto, et al.. (2005). A Searching and Reporting System for Relational Databases Using a Graph-Based Metadata Representation. Journal of Chemical Information and Modeling. 45(4). 863–869. 5 indexed citations
11.
Gobbi, Alberto, et al.. (2004). Process-Driven Information Management System at a Biotech Company:  Concept and Implementation. Journal of Chemical Information and Computer Sciences. 44(3). 964–975. 11 indexed citations
12.
Gobbi, Alberto & Man‐Ling Lee. (2002). DISE:  Directed Sphere Exclusion. PubMed. 43(1). 317–323. 42 indexed citations
13.
Lee, Man‐Ling & Gisbert Schneider. (2001). Scaffold Architecture and Pharmacophoric Properties of Natural Products and Trade Drugs:  Application in the Design of Natural Product-Based Combinatorial Libraries. Journal of Combinatorial Chemistry. 3(3). 284–289. 221 indexed citations
14.
Schneider, Gisbert, Man‐Ling Lee, Martin Ståhl, & Petra Schneider. (2000). De novo design of molecular architectures by evolutionary assembly of drug-derived building blocks. Journal of Computer-Aided Molecular Design. 14(5). 487–494. 189 indexed citations
15.
Berger, Stefan, et al.. (1996). Nachweis der enzymkatalysierten Bildung von Carboxybiotin durch Messung von 15N,13C‐ und 13C,13C‐Spin‐Spin‐Kopplungen. Angewandte Chemie. 108(18). 2259–2261. 3 indexed citations
16.
Berger, Stefan, et al.. (1996). Enzyme‐Catalyzed Formation of Carboxybiotin as Proved by the Measurement of 15N,13C and 13C,13C Spin‐Spin Coupling. Angewandte Chemie International Edition in English. 35(18). 2132–2133. 11 indexed citations
17.
Lee, Man‐Ling & Stefan Berger. (1992). Synthesis of [1′‐15N]‐biotin. Journal of Labelled Compounds and Radiopharmaceuticals. 31(12). 1065–1070. 5 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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