Rob Phillips

22.4k total citations · 6 hit papers
187 papers, 14.9k citations indexed

About

Rob Phillips is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Rob Phillips has authored 187 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 45 papers in Materials Chemistry and 36 papers in Genetics. Recurrent topics in Rob Phillips's work include Gene Regulatory Network Analysis (33 papers), Microstructure and mechanical properties (32 papers) and Bacterial Genetics and Biotechnology (29 papers). Rob Phillips is often cited by papers focused on Gene Regulatory Network Analysis (33 papers), Microstructure and mechanical properties (32 papers) and Bacterial Genetics and Biotechnology (29 papers). Rob Phillips collaborates with scholars based in United States, Israel and France. Rob Phillips's co-authors include Ron Milo, Yinon M. Bar‐On, Ellad B. Tadmor, M. Ortíz, Paul A. Wiggins, Hernán G. García, Jané Kondev, Ronald E. Miller, Tristan Ursell and Pierre Sens and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Rob Phillips

183 papers receiving 14.4k citations

Hit Papers

The biomass distribut... 1996 2026 2006 2016 2018 1996 2009 2020 2005 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rob Phillips United States 54 6.8k 3.2k 2.0k 2.0k 1.9k 187 14.9k
Herbert Levine United States 84 7.5k 1.1× 3.1k 0.9× 926 0.5× 272 0.1× 2.7k 1.4× 461 24.0k
R. M. Stroud United States 67 6.1k 0.9× 4.5k 1.4× 243 0.1× 851 0.4× 1.5k 0.8× 376 16.4k
Jørgen Kjems Denmark 86 29.5k 4.3× 2.5k 0.8× 453 0.2× 1.1k 0.5× 3.2k 1.6× 495 38.5k
Robijn Bruinsma United States 58 3.3k 0.5× 2.5k 0.8× 368 0.2× 1.3k 0.6× 1.7k 0.9× 220 10.5k
Jayanth R. Banavar United States 64 3.2k 0.5× 3.6k 1.1× 625 0.3× 1.4k 0.7× 1.8k 0.9× 309 14.4k
Yasuhiro Minami Japan 60 9.7k 1.4× 2.3k 0.7× 217 0.1× 589 0.3× 2.4k 1.2× 220 24.5k
Michiru Nishita Japan 37 6.8k 1.0× 2.3k 0.7× 214 0.1× 581 0.3× 2.4k 1.2× 65 18.4k
Victor W. Hsu United States 40 5.8k 0.8× 2.3k 0.7× 213 0.1× 586 0.3× 2.3k 1.2× 82 18.0k
P. Mazur United States 65 3.2k 0.5× 1.7k 0.5× 855 0.4× 1.0k 0.5× 2.3k 1.2× 341 19.2k
David R. Nelson United States 99 4.3k 0.6× 11.0k 3.4× 749 0.4× 1.1k 0.6× 4.3k 2.2× 410 42.3k

Countries citing papers authored by Rob Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Rob Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob Phillips. 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 Rob Phillips. The network helps show where Rob Phillips may publish in the future.

Co-authorship network of co-authors of Rob Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Rob Phillips. A scholar is included among the top collaborators of Rob Phillips 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 Rob Phillips. Rob Phillips 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.
Yang, Fan, Shichen Liu, Heun Jin Lee, Rob Phillips, & Matt Thomson. (2025). Dynamic flow control through active matter programming language. Nature Materials. 24(4). 615–625. 4 indexed citations
2.
Einav, Tal, et al.. (2025). Glycolysis model shows that allostery maintains high ATP and limits accumulation of intermediates. Biophysical Journal. 124(10). 1562–1586. 5 indexed citations
3.
García, Hernán G., et al.. (2024). Deciphering regulatory architectures of bacterial promoters from synthetic expression patterns. PLoS Computational Biology. 20(12). e1012697–e1012697. 1 indexed citations
4.
García, Hernán G., et al.. (2024). Flexibility and sensitivity in gene regulation out of equilibrium. Proceedings of the National Academy of Sciences. 121(46). e2411395121–e2411395121. 7 indexed citations
6.
Chure, Griffin, Nathan M. Belliveau, Michael Anaya, et al.. (2020). Sequence-dependent dynamics of synthetic and endogenous RSSs in V(D)J recombination. Nucleic Acids Research. 48(12). 6726–6739. 7 indexed citations
7.
Ireland, William T., Nicholas S. McCarty, Nathan M. Belliveau, et al.. (2020). Deciphering the regulatory genome of Escherichia coli, one hundred promoters at a time. eLife. 9. 31 indexed citations
8.
Chure, Griffin, Nathan M. Belliveau, Tal Einav, et al.. (2019). Predictive shifts in free energy couple mutations to their phenotypic consequences. Proceedings of the National Academy of Sciences. 116(37). 18275–18284. 21 indexed citations
9.
Einav, Tal & Rob Phillips. (2019). How the avidity of polymerase binding to the –35/–10 promoter sites affects gene expression. Proceedings of the National Academy of Sciences. 116(27). 13340–13345. 26 indexed citations
10.
Hueschen, Christina L., et al.. (2019). Microtubule End-Clustering Maintains a Steady-State Spindle Shape. Current Biology. 29(4). 700–708.e5. 17 indexed citations
11.
Belliveau, Nathan M., Stephanie L. Barnes, William T. Ireland, et al.. (2018). Systematic approach for dissecting the molecular mechanisms of transcriptional regulation in bacteria. Proceedings of the National Academy of Sciences. 115(21). E4796–E4805. 60 indexed citations
12.
Jones, Daniel, et al.. (2018). Measuring cis-regulatory energetics in living cells using allelic manifolds. eLife. 7. 16 indexed citations
13.
Phillips, Rob, et al.. (2015). Predicting the impact of promoter variability on regulatory outputs. Scientific Reports. 5(1). 18238–18238. 9 indexed citations
14.
Phillips, Rob & Joe Brierley. (2014). Fluid responsiveness is about stroke volume, and not pulse pressure Yogi: the power of Doppler fluid management and cardiovascular monitoring. Journal of Clinical Monitoring and Computing. 29(1). 197–200. 5 indexed citations
15.
Weinert, Franz M., Robert C. Brewster, Mattias Rydenfelt, Rob Phillips, & Willem K. Kegel. (2014). Scaling of Gene Expression with Transcription-Factor Fugacity. Physical Review Letters. 113(25). 258101–258101. 33 indexed citations
16.
Johnson, Stephanie L., Jan-Willem van de Meent, Rob Phillips, Chris H. Wiggins, & Martin Lindén. (2014). Multiple LacI-mediated loops revealed by Bayesian statistics and tethered particle motion. Nucleic Acids Research. 42(16). 10265–10277. 24 indexed citations
17.
Johnson, Stephanie L., Yi‐Ju Chen, & Rob Phillips. (2013). Poly(dA:dT)-Rich DNAs Are Highly Flexible in the Context of DNA Looping. PLoS ONE. 8(10). e75799–e75799. 33 indexed citations
18.
García, Hernán G., et al.. (2011). Thermodynamics of Biological Processes. Methods in enzymology on CD-ROM/Methods in enzymology. 492. 27–59. 41 indexed citations
19.
Ursell, Tristan, Ashutosh Agrawal, & Rob Phillips. (2011). Lipid Bilayer Mechanics in a Pipette with Glass-Bilayer Adhesion. Biophysical Journal. 101(8). 1913–1920. 28 indexed citations
20.
Boyer, Kristy Elizabeth, Rob Phillips, Eun Young Ha, et al.. (2010). Leveraging Hidden Dialogue State to Select Tutorial Moves. 66–73. 8 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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