Paul N. Mortenson
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry
- Organic Chemistry top 5%
- Pharmacology top 10%
- Co-authors
- Christopher W. MurrayMarcel L. VerdonkMichael J. HartshornRichard J. HallDavid J. WalesGianni ChessariSuzanne BrewertonWijnand T. M. Mooij
- Topics
- Computational Drug Discovery Methods (11 papers)Protein Structure and Dynamics (9 papers)Spectroscopy and Quantum Chemical Studies (3 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Chemical PhysicsPhysical review. B, Condensed matter
- Partner nations
- United KingdomSwitzerlandNetherlands
In The Last Decade
Paul N. Mortenson
22 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.1k
- Computational Theory and Mathematics 763
- Materials Chemistry 353
- Organic Chemistry 327
- Pharmacology 147
Countries citing papers authored by Paul N. Mortenson
This map shows the geographic impact of Paul N. Mortenson'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 Paul N. Mortenson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul N. Mortenson more than expected).
Fields of papers citing papers by Paul N. Mortenson
This network shows the impact of papers produced by Paul N. Mortenson. 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 Paul N. Mortenson. The network helps show where Paul N. Mortenson may publish in the future.
Co-authorship network of co-authors of Paul N. Mortenson
This figure shows the co-authorship network connecting the top 25 collaborators of Paul N. Mortenson. A scholar is included among the top collaborators of Paul N. Mortenson 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 Paul N. Mortenson. Paul N. Mortenson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 26 | |
| 3 | 20 | |
| 4 | 2 | |
| 5 | 49 | |
| 6 | 48 | |
| 7 | 26 | |
| 8 | 42 | |
| 9 | 112 | |
| 10 | 14 | |
| 11 | 17 | |
| 12 | 20 | |
| 13 | 83 | |
| 14 | 100 | |
| 15 | 67 | |
| 16 | 56 | |
| 17 | 109 | |
| 18 | Diverse, High-Quality Test Set for the Validation of Protein−Ligand Docking Performancebreakdown → | 501 |
| 19 | 70 | |
| 20 | 71 |
About Paul N. Mortenson
Paul N. Mortenson is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science and Pharmacology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (9 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (763 citations), Molecular Biology (1.1k citations) and Organic Chemistry (327 citations). Paul N. Mortenson has collaborated with scholars based in United Kingdom, Switzerland and Netherlands. Frequent co-authors include Christopher W. Murray, Marcel L. Verdonk, Michael J. Hartshorn, Richard J. Hall, David J. Wales, Gianni Chessari, Suzanne Brewerton, Wijnand T. M. Mooij, Christopher N. Johnson and Daniel A. Erlanson. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and Physical review. B, Condensed matter.
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.