Matthew P. Jacobson
- Molecular Biology top 0.2%
- Computational Theory and Mathematics top 0.1%
- Materials Chemistry top 2%
- Organic Chemistry top 0.5%
- Oncology top 2%
- Co-authors
- Richard A. FriesnerDiane L. BarberTyler DayBarry HonigBradley A. WebbMichael S. ChimentiChaya S. RappWoody Sherman
- Topics
- Protein Structure and Dynamics (58 papers)Enzyme Structure and Function (38 papers)Computational Drug Discovery Methods (27 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Matthew P. Jacobson
197 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Molecular Biology 11.4k
- Computational Theory and Mathematics 2.6k
- Materials Chemistry 2.3k
- Organic Chemistry 2.2k
- Oncology 1.5k
Countries citing papers authored by Matthew P. Jacobson
This map shows the geographic impact of Matthew P. Jacobson'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 Matthew P. Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew P. Jacobson more than expected).
Fields of papers citing papers by Matthew P. Jacobson
This network shows the impact of papers produced by Matthew P. Jacobson. 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 Matthew P. Jacobson. The network helps show where Matthew P. Jacobson may publish in the future.
Co-authorship network of co-authors of Matthew P. Jacobson
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. Jacobson. A scholar is included among the top collaborators of Matthew P. Jacobson 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 Matthew P. Jacobson. Matthew P. Jacobson 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 | 15 | |
| 3 | 28 | |
| 4 | 19 | |
| 5 | 16 | |
| 6 | 8 | |
| 7 | Gasdermin D pore structure reveals preferential release of mature interleukin-1breakdown → | 423 |
| 8 | 5 | |
| 9 | 14 | |
| 10 | 28 | |
| 11 | 26 | |
| 12 | 27 | |
| 13 | 15 | |
| 14 | 30 | |
| 15 | 39 | |
| 16 | 16 | |
| 17 | 55 | |
| 18 | 11 | |
| 19 | 31 | |
| 20 | 45 |
About Matthew P. Jacobson
Matthew P. Jacobson is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics, having authored 200 papers that have together received 17.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (58 papers), Enzyme Structure and Function (38 papers) and Computational Drug Discovery Methods (27 papers). The work is most often cited by research in Molecular Biology (11.4k citations), Computational Theory and Mathematics (2.6k citations) and Spectroscopy (1.4k citations). Matthew P. Jacobson has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Richard A. Friesner, Diane L. Barber, Tyler Day, Barry Honig, Bradley A. Webb, Michael S. Chimenti, Chaya S. Rapp, Woody Sherman, Ramy Farid and David L. Pincus. Their work appears in journals such as Nature, 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.