Man‐Ling Lee
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Chemical Synthesis and Analysis 3
- Bioinformatics and Genomic Networks 2
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- Computational Drug Discovery Methods 9
- Co-authors
- Gisbert Schneider (2 shared papers)Alberto Gobbi (12 shared papers)Martin Ståhl (1 shared paper)Petra Schneider (1 shared paper)Ignacio Aliagas (6 shared papers)Emile G. Plise (1 shared paper)Benjamin D. Sellers (2 shared papers)Jonathan Cheong (1 shared paper)
- Journals
- Journal of Computer-Aided Molecular Design (4 papers)Journal of Chemical Information and Modeling (3 papers)Journal of Cheminformatics (2 papers)ACS Chemical Biology (1 paper)Journal of Phycology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Man‐Ling Lee
18 papers receiving 642 citations
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 404
- Pharmacology 154
- Pharmacology 55
- Molecular Biology 414
- Organic Chemistry 171
Countries citing papers authored by Man‐Ling Lee
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
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-authors
The 25 scholars most cited alongside Man‐Ling Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 251 | |
| 2 | 2000 | 207 | |
| 3 | 2002 | 44 | |
| 4 | 2016 | 39 | |
| 5 | 2015 | 24 | |
| 6 | 2022 | 18 | |
| 7 | 2011 | 16 | |
| 8 | 2015 | 14 | |
| 9 | 2011 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2004 | 11 | |
| 13 | 1996 | 11 | |
| 14 | 1988 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 1992 | 5 | |
| 17 | 2005 | 4 | |
| 18 | 1996 | 3 |
About Man‐Ling Lee
Man‐Ling Lee is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Cell Biology and Organic Chemistry, having authored 18 papers that have together received 697 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Analytical Chemistry and Chromatography (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Chemical Synthesis and Analysis (3 papers), Click Chemistry and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Biotin and Related Studies (2 papers) and Hemoglobin structure and function (2 papers). The work is most often cited by research in Computational Theory and Mathematics (404 citations), Pharmacology (154 citations), Pharmacology (55 citations), Molecular Biology (414 citations) and Organic Chemistry (171 citations). Man‐Ling Lee has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Gisbert Schneider, Alberto Gobbi, Martin Ståhl, Petra Schneider, Ignacio Aliagas, Emile G. Plise, Benjamin D. Sellers, Jonathan Cheong, Laurent Salphati and Timothy P. Heffron. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Journal of Chemical Information and Modeling, Journal of Cheminformatics, ACS Chemical Biology and Journal of Phycology.
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.