P. Therese Lang
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 10%
- Organic Chemistry top 10%
- Pharmacology top 5%
- Co-authors
- Irwin D. KuntzRobert C. RizzoScott R. BrozellSudipto MukherjeeDavid A. CaseTom AlberEric F. PettersenJames S. Fraser
- Topics
- Protein Structure and Dynamics (5 papers)Enzyme Structure and Function (5 papers)Computational Drug Discovery Methods (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature Structural & Molecular BiologyJournal of Computational Chemistry
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
P. Therese Lang
13 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 1.8k
- Computational Theory and Mathematics 773
- Materials Chemistry 614
- Organic Chemistry 301
- 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-authorship network of co-authors of P. Therese Lang
This figure shows the co-authorship network connecting the top 25 collaborators of P. Therese Lang. A scholar is included among the top collaborators of P. Therese Lang 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 P. Therese Lang. P. Therese Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | High Throughput Computing Validation for Drug Discovery Using the DOCK Program on a Massively Parallel System | 3 |
| 2 | DOCK 6: Impact of new features and current docking performancebreakdown → | 563 |
| 3 | 58 | |
| 4 | 45 | |
| 5 | 63 | |
| 6 | 460 | |
| 7 | 129 | |
| 8 | DOCK 6: Combining techniques to model RNA–small molecule complexesbreakdown → | 603 |
| 9 | 45 | |
| 10 | 3 | |
| 11 | 63 | |
| 12 | 325 | |
| 13 | 18 |
About P. Therese Lang
P. Therese Lang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Information Systems and Management, having authored 13 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Computational Theory and Mathematics (773 citations), Structural Biology (48 citations) and Molecular Biology (1.8k 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, Scott R. Brozell, Sudipto Mukherjee, David A. Case, Tom Alber, Eric F. Pettersen, James S. Fraser, James M. Holton and Nathaniel Echols. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Structural & Molecular Biology 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.