Daniel K. Gehlhaar
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 10%
- Organic Chemistry top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Charles R. KissingerStephan T. FreerPaul A. RejtoGennady M. VerkhivkerChristopher J. ShermanLawrence J. FogelDjamal BouzidaPeter W. Rose
- Topics
- Protein Structure and Dynamics (15 papers)Computational Drug Discovery Methods (10 papers)Enzyme Structure and Function (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Medicinal ChemistryChemical Physics Letters
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel K. Gehlhaar
23 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.5k
- Computational Theory and Mathematics 725
- Materials Chemistry 446
- Organic Chemistry 318
- Radiology, Nuclear Medicine and Imaging 136
Countries citing papers authored by Daniel K. Gehlhaar
This map shows the geographic impact of Daniel K. Gehlhaar'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 Daniel K. Gehlhaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Gehlhaar more than expected).
Fields of papers citing papers by Daniel K. Gehlhaar
This network shows the impact of papers produced by Daniel K. Gehlhaar. 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 Daniel K. Gehlhaar. The network helps show where Daniel K. Gehlhaar may publish in the future.
Co-authorship network of co-authors of Daniel K. Gehlhaar
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Gehlhaar. A scholar is included among the top collaborators of Daniel K. Gehlhaar 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 Daniel K. Gehlhaar. Daniel K. Gehlhaar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 112 | |
| 4 | 73 | |
| 5 | 22 | |
| 6 | 81 | |
| 7 | 80 | |
| 8 | 25 | |
| 9 | 49 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 186 | |
| 13 | 31 | |
| 14 | Rapid automated molecular replacement by evolutionary searchbreakdown → | 526 |
| 15 | 6 | |
| 16 | Tuning Evolutionary Programming for Conformationally Flexible Molecular Docking. | 49 |
| 17 | 44 | |
| 18 | 0 | |
| 19 | Molecular recognition of the inhibitor AG-1343 by HIV-1 protease: conformationally flexible docking by evolutionary programmingbreakdown → | 543 |
| 20 | 76 |
About Daniel K. Gehlhaar
Daniel K. Gehlhaar is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Computational Drug Discovery Methods (10 papers) and Enzyme Structure and Function (10 papers). The work is most often cited by research in Computational Theory and Mathematics (725 citations), Molecular Biology (1.5k citations) and Organic Chemistry (318 citations). Daniel K. Gehlhaar has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Charles R. Kissinger, Stephan T. Freer, Paul A. Rejto, Gennady M. Verkhivker, Christopher J. Sherman, Lawrence J. Fogel, Djamal Bouzida, Peter W. Rose, Brock A. Luty and Anthony B. Colson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Chemical Physics Letters.
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.