Matthew P. Jacobson

28.8k citations
200 papers · 17.2k indexed · 5 hit papers · h-index 63
Topics
Protein Structure and Dynamics (58 papers)Enzyme Structure and Function (38 papers)Computational Drug Discovery Methods (27 papers)

In The Last Decade

Matthew P. Jacobson

197 papers receiving 17.0k citations

Hit Papers

A hierarchical approach to all‐atom protein loop prediction20022026201020182004201120052002202150010001.5k

Peers

Matthew P. Jacobson
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
Replace Carlos Simmerling with:
Carlos Simmerling United States
Ruben Abagyan United States
Holger Gohlke Germany
Stefan Knapp Germany
Warren L. DeLano United States
Emad Tajkhorshid United States
Jeffery W. Kelly United States
Hualiang Jiang China
S.K. Burley United States
Gregory L. Warren United States
Matthew P. Jacobson relative to Carlos Simmerling United States Carlos Simmerling's profile →
Citations per field
00.5×1.5×
Carlos Simmerling · 1×
Citations per year

Countries citing papers authored by Matthew P. Jacobson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026