Jonathan A. Lee

2.0k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

Jonathan A. Lee is a scholar working on Molecular Biology, Computational Theory and Mathematics and Aerospace Engineering. According to data from OpenAlex, Jonathan A. Lee has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Aerospace Engineering. Recurrent topics in Jonathan A. Lee's work include Computational Drug Discovery Methods (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Bioinformatics and Genomic Networks (3 papers). Jonathan A. Lee is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Bioinformatics and Genomic Networks (3 papers). Jonathan A. Lee collaborates with scholars based in United States, Switzerland and United Kingdom. Jonathan A. Lee's co-authors include Fabien Vincent, Jörg Eder, John G. Moffat, Marco Prunotto, Ellen L. Berg, Mark Uhlik, Christopher M. Moxham, Dirk Tomandl, Daniel J. Sall and P. A. George Fortes and has published in prestigious journals such as PLoS ONE, Nature Reviews Drug Discovery and Biochemistry.

In The Last Decade

Jonathan A. Lee

22 papers receiving 1.2k citations

Hit Papers

Opportunities and challenges in phenotypic drug discovery... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan A. Lee United States 15 754 280 133 132 130 24 1.3k
Christian N. Parker Switzerland 21 955 1.3× 292 1.0× 111 0.8× 77 0.6× 76 0.6× 47 1.4k
Adrian Heilbut United States 8 822 1.1× 226 0.8× 75 0.6× 158 1.2× 135 1.0× 8 1.6k
Rachel L. Grimley United Kingdom 15 1.2k 1.5× 79 0.3× 81 0.6× 56 0.4× 219 1.7× 24 1.8k
Tong Ying Shun United States 21 686 0.9× 139 0.5× 99 0.7× 365 2.8× 223 1.7× 35 1.4k
Ganesha Rai United States 26 1.3k 1.7× 163 0.6× 311 2.3× 51 0.4× 175 1.3× 90 2.2k
Mark E. Schurdak United States 25 1.0k 1.4× 97 0.3× 109 0.8× 151 1.1× 182 1.4× 48 1.7k
J. Fraser Glickman United States 22 1.5k 2.0× 121 0.4× 99 0.7× 60 0.5× 303 2.3× 47 2.2k
Usha Warrior United States 21 672 0.9× 84 0.3× 96 0.7× 88 0.7× 110 0.8× 44 1.2k
Edward Price United States 9 1.2k 1.6× 345 1.2× 119 0.9× 180 1.4× 199 1.5× 13 1.9k
Emma Shanks United Kingdom 17 778 1.0× 124 0.4× 193 1.5× 37 0.3× 125 1.0× 23 1.3k

Countries citing papers authored by Jonathan A. Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan A. Lee

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

All Works

20 of 20 papers shown
1.
Dahlin, Jayme L., Douglas S. Auld, Ina Rothenaigner, et al.. (2021). Nuisance compounds in cellular assays. Cell chemical biology. 28(3). 356–370. 33 indexed citations
2.
Pandey, Awadh Bihari, Sesh Tamirisakandala, David L. Ellis, et al.. (2018). Chapter 2: Aerospace Materials Characteristics. NASA Technical Reports Server (NASA).
3.
Moffat, John G., Fabien Vincent, Jonathan A. Lee, Jörg Eder, & Marco Prunotto. (2017). Opportunities and challenges in phenotypic drug discovery: an industry perspective. Nature Reviews Drug Discovery. 16(8). 531–543. 571 indexed citations breakdown →
4.
Falcón, Beverly L., Michelle L. Swearingen, Wendy H. Gough, et al.. (2014). An In Vitro Cord Formation Assay Identifies Unique Vascular Phenotypes Associated with Angiogenic Growth Factors. PLoS ONE. 9(9). e106901–e106901. 8 indexed citations
5.
Berg, Ellen L., et al.. (2014). Consideration of the cellular microenvironment: Physiologically relevant co-culture systems in drug discovery. Advanced Drug Delivery Reviews. 69-70. 190–204. 43 indexed citations
6.
Lee, Jonathan A. & Ellen L. Berg. (2013). Neoclassic Drug Discovery: The Case for Lead Generation Using Phenotypic and Functional Approaches. SLAS DISCOVERY. 18(10). 1143–1155. 88 indexed citations
7.
Lee, Jonathan A., Mark Uhlik, Christopher M. Moxham, Dirk Tomandl, & Daniel J. Sall. (2012). Modern Phenotypic Drug Discovery Is a Viable, Neoclassic Pharma Strategy. Journal of Medicinal Chemistry. 55(10). 4527–4538. 134 indexed citations
8.
Lee, Jonathan A., Shaoyou Chu, Francis S. Willard, et al.. (2011). Open Innovation for Phenotypic Drug Discovery: The PD2 Assay Panel. SLAS DISCOVERY. 16(6). 588–602. 46 indexed citations
9.
Gough, Wendy H., et al.. (2011). A Quantitative, Facile, and High-Throughput Image-Based Cell Migration Method Is a Robust Alternative to the Scratch Assay. SLAS DISCOVERY. 16(2). 155–163. 64 indexed citations
10.
Lee, Jonathan A.. (2008). Risk Assessment for Titanium Pressure Vessels Operating Inside the ARES I's Liquid Hydrogen Tank Environment. NASA Technical Reports Server (NASA). 1 indexed citations
11.
Lee, Jonathan A.. (2003). CAST ALUMINUM ALLOY FOR HIGH TEMPERATURE APPLICATIONS. NASA Technical Reports Server (NASA). 15 indexed citations
12.
Lee, Jonathan A., et al.. (2002). High Strength and Wear Resistant Aluminum Alloy for High Temperature Applications. NASA Technical Reports Server (NASA). 6 indexed citations
13.
Sarau, Henry M., Jeffrey L. Mooney, Dulcie B. Schmidt, et al.. (2000). Evidence That the Proposed Novel Human “Neurokinin-4” Receptor Is Pharmacologically Similar to the Human Neurokinin-3 Receptor but Is Not of Human Origin. Molecular Pharmacology. 58(3). 552–559. 9 indexed citations
14.
Nuttall, Mark, John C. Lee, Paul R. Murdock, et al.. (1999). Amphibian Melanophore Technology as a Functional Screen for Antagonists of G-Protein Coupled 7-Transmembrane Receptors. SLAS DISCOVERY. 4(5). 269–277. 4 indexed citations
15.
Lee, Jonathan A., Catherine E. Peishoff, M. Amparo Lago, et al.. (1994). Lysine 182 of Endothelin B Receptor Modulates Agonist Selectivity and Antagonist Affinity: Evidence for the Overlap of Peptide and Non-peptide Ligand Binding Sites. Biochemistry. 33(48). 14543–14549. 22 indexed citations
16.
Lee, Jonathan A., et al.. (1992). Stimulation of c-fos and c-jun gene expression and down-regulation of proenkephalin gene expression in C6 glioma cells by endothelin-1. Molecular Brain Research. 14(3). 213–220. 23 indexed citations
18.
Carrasco, Nancy, et al.. (1989). Characterization of site-directed mutants in the lac permease of Escherichia coli. 2. Glutamate-325 replacements. Biochemistry. 28(6). 2533–2539. 81 indexed citations
19.
Menick, Donald R., Jonathan A. Lee, Robert J. Brooker, T. Hastings Wilson, & H. Ronald Kaback. (1987). Role of cysteine residues in the lac permease of Escherichia coli. Biochemistry. 26(4). 1132–1136. 48 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026