Philip M. Dean
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 10%
- Materials Chemistry
- Spectroscopy top 10%
- Co-authors
- Paul J. GaneNikolay P. TodorovAlfonso T. García‐SosaRicardo L. ManceraPer KällbladIan L. AlbertsRichard A. LewisEdward D. Zanders
- Topics
- Computational Drug Discovery Methods (16 papers)Click Chemistry and Applications (8 papers)Chemical Synthesis and Analysis (7 papers)
- Partner nations
- United KingdomSwitzerlandNetherlands
In The Last Decade
Philip M. Dean
24 papers receiving 699 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 551
- Computational Theory and Mathematics 427
- Organic Chemistry 154
- Materials Chemistry 115
- Spectroscopy 80
Countries citing papers authored by Philip M. Dean
This map shows the geographic impact of Philip M. Dean'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 Philip M. Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip M. Dean more than expected).
Fields of papers citing papers by Philip M. Dean
This network shows the impact of papers produced by Philip M. Dean. 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 Philip M. Dean. The network helps show where Philip M. Dean may publish in the future.
Co-authorship network of co-authors of Philip M. Dean
This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Dean. A scholar is included among the top collaborators of Philip M. Dean 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 Philip M. Dean. Philip M. Dean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 18 | |
| 3 | 10 | |
| 4 | 47 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | De novo drug design: integration of structure-based and ligand-based methods. | 17 |
| 8 | 106 | |
| 9 | 39 | |
| 10 | 45 | |
| 11 | 64 | |
| 12 | 21 | |
| 13 | 5 | |
| 14 | 38 | |
| 15 | 35 | |
| 16 | 131 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | Molecular Foundations of Drug-Receptor Interaction | 65 |
| 20 | 19 |
About Philip M. Dean
Philip M. Dean is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Geriatrics and Gerontology, having authored 25 papers that have together received 752 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Click Chemistry and Applications (8 papers) and Chemical Synthesis and Analysis (7 papers). The work is most often cited by research in Computational Theory and Mathematics (427 citations), Molecular Biology (551 citations) and Organic Chemistry (154 citations). Philip M. Dean has collaborated with scholars based in United Kingdom, Switzerland and Netherlands. Frequent co-authors include Paul J. Gane, Nikolay P. Todorov, Alfonso T. García‐Sosa, Ricardo L. Mancera, Per Källblad, Ian L. Alberts, Richard A. Lewis, Edward D. Zanders, David Bailey and David G. Lloyd. Their work appears in journals such as Nature Biotechnology, Journal of Molecular Biology and Biochemical Journal.
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.