William M. Jacobs

2.3k total citations · 1 hit paper
41 papers, 1.5k citations indexed

About

William M. Jacobs is a scholar working on Molecular Biology, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, William M. Jacobs has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Materials Chemistry and 5 papers in Condensed Matter Physics. Recurrent topics in William M. Jacobs's work include RNA Research and Splicing (13 papers), Protein Structure and Dynamics (11 papers) and RNA and protein synthesis mechanisms (10 papers). William M. Jacobs is often cited by papers focused on RNA Research and Splicing (13 papers), Protein Structure and Dynamics (11 papers) and RNA and protein synthesis mechanisms (10 papers). William M. Jacobs collaborates with scholars based in United States, United Kingdom and Netherlands. William M. Jacobs's co-authors include Daan Frenkel, Eugene I. Shakhnovich, Jorine M. Eeftens, Amy R. Strom, Clifford P. Brangwynne, Dan Bracha, Allana G. Iwanicki, Nancy Kedersha, Gena Whitney and David W. Sanders and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

William M. Jacobs

37 papers receiving 1.5k citations

Hit Papers

Competing Protein-RNA Interaction Networks Control Multip... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William M. Jacobs United States 19 1.1k 293 107 96 93 41 1.5k
Andrzej J. Rzepiela Switzerland 12 939 0.8× 307 1.0× 130 1.2× 241 2.5× 46 0.5× 18 1.4k
K. Tsumoto Japan 21 1.4k 1.2× 140 0.5× 163 1.5× 322 3.4× 35 0.4× 66 1.8k
Jan Steinkühler Germany 20 980 0.9× 120 0.4× 178 1.7× 354 3.7× 61 0.7× 37 1.3k
Siddharth Deshpande Netherlands 22 1.0k 0.9× 183 0.6× 238 2.2× 683 7.1× 158 1.7× 52 1.8k
Lorenzo Di Michele United Kingdom 25 944 0.8× 252 0.9× 139 1.3× 330 3.4× 73 0.8× 62 1.5k
Yutetsu Kuruma Japan 20 1.3k 1.2× 79 0.3× 162 1.5× 352 3.7× 48 0.5× 40 1.6k
Jaime Agudo‐Canalejo Germany 19 761 0.7× 223 0.8× 129 1.2× 359 3.7× 402 4.3× 46 1.4k
David S. Courson United States 9 2.1k 1.9× 181 0.6× 98 0.9× 153 1.6× 72 0.8× 12 2.7k
Davide Michieletto United Kingdom 21 851 0.8× 199 0.7× 33 0.3× 142 1.5× 103 1.1× 62 1.3k
Zoher Gueroui France 20 689 0.6× 250 0.9× 71 0.7× 348 3.6× 130 1.4× 31 1.3k

Countries citing papers authored by William M. Jacobs

Since Specialization
Citations

This map shows the geographic impact of William M. Jacobs'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 William M. Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Jacobs more than expected).

Fields of papers citing papers by William M. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Jacobs. 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 William M. Jacobs. The network helps show where William M. Jacobs may publish in the future.

Co-authorship network of co-authors of William M. Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Jacobs. A scholar is included among the top collaborators of William M. Jacobs 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 William M. Jacobs. William M. Jacobs 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
1.
Jacobs, William M., et al.. (2025). The underappreciated role of nonspecific interactions in the crystallization of DNA-coated colloids. Soft Matter. 21(14). 2654–2663.
2.
Jacobs, William M., et al.. (2025). Multiobjective Optimization for Targeted Self-Assembly among Competing Polymorphs. Physical Review X. 15(1). 5 indexed citations
3.
An, Yaxin, Michael A. Webb, & William M. Jacobs. (2024). Active learning of the thermodynamics-dynamics trade-off in protein condensates. Science Advances. 10(1). eadj2448–eadj2448. 25 indexed citations
4.
Strom, Amy R., Jorine M. Eeftens, Dan Bracha, et al.. (2024). Interplay of condensation and chromatin binding underlies BRD4 targeting. Molecular Biology of the Cell. 35(6). ar88–ar88. 15 indexed citations
5.
Sharma, A., et al.. (2024). Competition between Self-Assembly and Phase Separation Governs High-Temperature Condensation of a DNA Liquid. Physical Review Letters. 132(20). 208401–208401. 1 indexed citations
6.
Jacobs, William M., et al.. (2024). Emergence of Multiphase Condensates from a Limited Set of Chemical Building Blocks. Journal of Chemical Theory and Computation. 20(15). 6881–6889. 11 indexed citations
7.
Jacobs, William M., et al.. (2023). The critical role of co-translational folding: An evolutionary and biophysical perspective. Current Opinion in Systems Biology. 37. 100485–100485. 2 indexed citations
8.
Jacobs, William M., et al.. (2023). Programmable phase behavior in fluids with designable interactions. The Journal of Chemical Physics. 158(21). 5 indexed citations
9.
Rogers, W. Benjamin, et al.. (2023). Interplay between self-assembly and phase separation in a polymer-complex model. Physical review. E. 108(6). 3 indexed citations
10.
Hensley, Alexander, et al.. (2023). Macroscopic photonic single crystals via seeded growth of DNA-coated colloids. Nature Communications. 14(1). 4237–4237. 26 indexed citations
11.
Jacobs, William M., et al.. (2023). Tuning Nucleation Kinetics via Nonequilibrium Chemical Reactions. Physical Review Letters. 130(12). 128203–128203. 13 indexed citations
12.
Jacobs, William M.. (2021). Self-Assembly of Biomolecular Condensates with Shared Components. Physical Review Letters. 126(25). 258101–258101. 49 indexed citations
14.
Jacobs, William M., et al.. (2020). Effect of Protein Structure on Evolution of Cotranslational Folding. Biophysical Journal. 119(6). 1123–1134. 16 indexed citations
15.
Sanders, David W., Nancy Kedersha, Daniel S.W. Lee, et al.. (2020). Competing Protein-RNA Interaction Networks Control Multiphase Intracellular Organization. Cell. 181(2). 306–324.e28. 538 indexed citations breakdown →
16.
Jacobs, William M., et al.. (2018). Direct observation and rational design of nucleation behavior in addressable self-assembly. Proceedings of the National Academy of Sciences. 115(26). E5877–E5886. 25 indexed citations
17.
Bhattacharyya, Sanchari, William M. Jacobs, Bharat V. Adkar, et al.. (2018). Accessibility of the Shine-Dalgarno Sequence Dictates N-Terminal Codon Bias in E. coli. Molecular Cell. 70(5). 894–905.e5. 48 indexed citations
18.
Jacobs, William M. & Daan Frenkel. (2017). Phase Transitions in Biological Systems with Many Components. Biophysical Journal. 112(4). 683–691. 120 indexed citations
19.
Jacobs, William M., Tuomas P. J. Knowles, & Daan Frenkel. (2016). Oligomers of Heat-Shock Proteins: Structures That Don’t Imply Function. PLoS Computational Biology. 12(2). e1004756–e1004756. 7 indexed citations
20.
Jacobs, William M. & Eugene I. Shakhnovich. (2016). Structure-Based Prediction of Protein-Folding Transition Paths. Biophysical Journal. 111(5). 925–936. 18 indexed citations

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.

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