Warren L. DeLano
- Molecular Biology top 0.05%
- Materials Chemistry top 0.5%
- Genetics top 0.2%
- Cell Biology top 0.2%
- Oncology top 0.5%
- Co-authors
- Axel T. BrüngerJohn KuszewskiThomas SimonsonMichaël NilgesNeesh PannuLuke M. RicePaul D. AdamsRalf W. Grosse‐Kunstleve
- Topics
- Protein Structure and Dynamics (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Enzyme Structure and Function (4 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Warren L. DeLano
17 papers receiving 32.8k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 24.4k
- Materials Chemistry 6.4k
- Genetics 3.7k
- Cell Biology 2.8k
- Oncology 2.7k
Countries citing papers authored by Warren L. DeLano
This map shows the geographic impact of Warren L. DeLano'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 Warren L. DeLano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren L. DeLano more than expected).
Fields of papers citing papers by Warren L. DeLano
This network shows the impact of papers produced by Warren L. DeLano. 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 Warren L. DeLano. The network helps show where Warren L. DeLano may publish in the future.
Co-authorship network of co-authors of Warren L. DeLano
This figure shows the co-authorship network connecting the top 25 collaborators of Warren L. DeLano. A scholar is included among the top collaborators of Warren L. DeLano 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 Warren L. DeLano. Warren L. DeLano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 106 | |
| 2 | 148 | |
| 3 | 3 | |
| 4 | 288 | |
| 5 | 155 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 202 | |
| 9 | Unraveling hot spots in binding interfaces: progress and challengesbreakdown → | 613 |
| 10 | 83 | |
| 11 | The PyMOL Molecular Graphics System. De-Lano Scientific, San Carlos, CA, USA | 28 |
| 12 | The PyMOL Molecular Graphics Systembreakdown → | 15815 |
| 13 | Convergent Solutions to Binding at a Protein-Protein Interfacebreakdown → | 580 |
| 14 | 61 | |
| 15 | Crystallography & NMR System: A New Software Suite for Macromolecular Structure Determinationbreakdown → | 14950 |
| 16 | 35 | |
| 17 | 52 |
About Warren L. DeLano
Warren L. DeLano is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy, having authored 17 papers that have together received 33.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Molecular Biology (24.4k citations), Cell Biology (2.8k citations) and Biotechnology (1.4k citations). Warren L. DeLano has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Axel T. Brünger, John Kuszewski, Thomas Simonson, Michaël Nilges, Neesh Pannu, Luke M. Rice, Paul D. Adams, Ralf W. Grosse‐Kunstleve, Jiansheng Jiang and Randy J. Read. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.