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 11
- 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)Benjamin D. Sellers (2 shared papers)Daniel F. Ortwine (2 shared papers)Fabio Broccatelli (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)Molecular Pharmaceutics (1 paper)ACS Chemical Biology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Man‐Ling Lee
17 papers receiving 578 citations
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 384
- Pharmacology 143
- Molecular Biology 399
- Pharmacology 48
- Organic Chemistry 155
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 | 221 | |
| 2 | 2000 | 189 | |
| 3 | 2002 | 42 | |
| 4 | 2016 | 34 | |
| 5 | 2015 | 23 | |
| 6 | 2022 | 18 | |
| 7 | 2015 | 14 | |
| 8 | 2017 | 12 | |
| 9 | 2011 | 12 | |
| 10 | 2015 | 11 | |
| 11 | 2004 | 11 | |
| 12 | 2011 | 11 | |
| 13 | 1996 | 11 | |
| 14 | 2023 | 7 | |
| 15 | 2005 | 5 | |
| 16 | 1992 | 5 | |
| 17 | 1996 | 3 |
About Man‐Ling Lee
Man‐Ling Lee is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Organic Chemistry and Cell Biology, having authored 17 papers that have together received 629 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 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), Machine Learning in Materials Science (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Computational Theory and Mathematics (384 citations), Pharmacology (143 citations), Molecular Biology (399 citations), Pharmacology (48 citations) and Organic Chemistry (155 citations). Man‐Ling Lee has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Gisbert Schneider, Alberto Gobbi, Martin Ståhl, Petra Schneider, Ignacio Aliagas, Benjamin D. Sellers, Daniel F. Ortwine, Fabio Broccatelli, Stefan Berger and Laurent Salphati. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Journal of Chemical Information and Modeling, Journal of Cheminformatics, Molecular Pharmaceutics and ACS Chemical Biology.
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.