P. Therese Lang
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Structural Biology top 5%
Papers in
-
- Protein Structure and Dynamics 5
- Biochemical and Molecular Research 2
- RNA and protein synthesis mechanisms 2
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Computational Drug Discovery Methods 4
- Co-authors
- Irwin D. Kuntz (4 shared papers)Robert C. Rizzo (3 shared papers)Sudipto Mukherjee (2 shared papers)David A. Case (2 shared papers)Scott R. Brozell (2 shared papers)Tom Alber (5 shared papers)Eric F. Pettersen (2 shared papers)James M. Holton (3 shared papers)
- Journals
- Protein Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)SLAS DISCOVERY (1 paper)Computer Physics Communications (1 paper)Journal of Computational Chemistry (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
P. Therese Lang
13 papers receiving 2.3k citations
P. Therese Lang's Hit Papers
Peers
Comparison fields: 5 of 133
- Computational Theory and Mathematics 773
- Structural Biology 48
- Molecular Biology 1.8k
- Materials Chemistry 614
- Pharmacology 197
Countries citing papers authored by P. Therese Lang
This map shows the geographic impact of P. Therese Lang'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 P. Therese Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Therese Lang more than expected).
Fields of papers citing papers by P. Therese Lang
This network shows the impact of papers produced by P. Therese Lang. 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 P. Therese Lang. The network helps show where P. Therese Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Therese Lang, 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 | DOCK 6: Combining techniques to model RNA–small molecule complexes Hit paper breakdown → | 2009 | 603 |
| 2 | DOCK 6: Impact of new features and current docking performance Hit paper breakdown → | 2015 | 563 |
| 3 | 2011 | 460 | |
| 4 | 2006 | 325 | |
| 5 | 2010 | 129 | |
| 6 | 2011 | 63 | |
| 7 | 2006 | 63 | |
| 8 | 2013 | 58 | |
| 9 | 2012 | 45 | |
| 10 | 2009 | 45 | |
| 11 | 2005 | 18 | |
| 12 | High Throughput Computing Validation for Drug Discovery Using the DOCK Program on a Massively Parallel System | 2015 | 3 |
| 13 | 2008 | 3 |
About P. Therese Lang
P. Therese Lang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Spectroscopy and Organic Chemistry, having authored 13 papers that have together received 2.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers), Biochemical and Molecular Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Computational Theory and Mathematics (773 citations), Structural Biology (48 citations), Molecular Biology (1.8k citations), Materials Chemistry (614 citations) and Pharmacology (197 citations). P. Therese Lang has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Irwin D. Kuntz, Robert C. Rizzo, Sudipto Mukherjee, David A. Case, Scott R. Brozell, Tom Alber, Eric F. Pettersen, James M. Holton, James S. Fraser and Nathaniel Echols. Their work appears in journals such as Protein Science, Proceedings of the National Academy of Sciences, SLAS DISCOVERY, Computer Physics Communications and Journal of Computational Chemistry.
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.