Jonathan A. Lee
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
-
- Computational Drug Discovery Methods
Papers in
-
- Amino Acid Enzymes and Metabolism 3
- Co-authors
- John G. MoffatFabien VincentJörg EderMarco PrunottoEllen L. BergMark UhlikChristopher M. MoxhamDaniel J. Sall
- Journals
- Biochemistry (6 papers)SLAS DISCOVERY (4 papers)Cancer Research (1 paper)Journal of Medicinal Chemistry (1 paper)Cell chemical biology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Jonathan A. Lee
22 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Biophysics 112
- Computational Theory and Mathematics 280
- Molecular Biology 754
- Biochemistry 52
- Cell Biology 94
Countries citing papers authored by Jonathan A. Lee
This map shows the geographic impact of Jonathan A. 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 Jonathan A. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan A. Lee more than expected).
Fields of papers citing papers by Jonathan A. Lee
This network shows the impact of papers produced by Jonathan A. 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 Jonathan A. Lee. The network helps show where Jonathan A. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan A. 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 | 2021 | 33 | |
| 2 | Chapter 2: Aerospace Materials Characteristics | 2018 | 0 |
| 3 | Opportunities and challenges in phenotypic drug discovery: an industry perspective Hit paper breakdown → | 2017 | 571 |
| 4 | 2014 | 8 | |
| 5 | 2014 | 43 | |
| 6 | 2013 | 88 | |
| 7 | 2012 | 134 | |
| 8 | 2011 | 46 | |
| 9 | 2011 | 64 | |
| 10 | Commercialization of NASA's High Strength Cast Aluminum Alloy for High Temperature Applications | 2003 | 0 |
| 11 | High Strength and Wear Resistant Aluminum Alloy for High Temperature Applications | 2002 | 6 |
| 12 | 2000 | 9 | |
| 13 | 1999 | 4 | |
| 14 | 1994 | 22 | |
| 15 | 1992 | 23 | |
| 16 | 1989 | 26 | |
| 17 | 1989 | 81 | |
| 18 | 1987 | 48 | |
| 19 | 1986 | 16 | |
| 20 | 1985 | 27 |
About Jonathan A. Lee
Jonathan A. Lee is a scholar working on General Materials Science, Biochemistry, Computational Theory and Mathematics, Automotive Engineering and Molecular Biology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Receptor Mechanisms and Signaling (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Bioinformatics and Genomic Networks (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Molecular Sensors and Ion Detection (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Biophysics (112 citations), Computational Theory and Mathematics (280 citations), Molecular Biology (754 citations), Biochemistry (52 citations) and Cell Biology (94 citations). Jonathan A. Lee has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include John G. Moffat, Fabien Vincent, Jörg Eder, Marco Prunotto, Ellen L. Berg, Mark Uhlik, Christopher M. Moxham, Daniel J. Sall, Dirk Tomandl and P. A. George Fortes. Their work appears in journals such as Biochemistry, SLAS DISCOVERY, Cancer Research, Journal of Medicinal Chemistry and Cell 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.