Philip Pearce

629 total citations
21 papers, 418 citations indexed

About

Philip Pearce is a scholar working on Computational Mechanics, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Philip Pearce has authored 21 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 7 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in Philip Pearce's work include Combustion and flame dynamics (6 papers), Molecular Communication and Nanonetworks (3 papers) and Micro and Nano Robotics (3 papers). Philip Pearce is often cited by papers focused on Combustion and flame dynamics (6 papers), Molecular Communication and Nanonetworks (3 papers) and Micro and Nano Robotics (3 papers). Philip Pearce collaborates with scholars based in United Kingdom, United States and Germany. Philip Pearce's co-authors include Jörn Dunkel, Boya Song, Praveen K. Singh, Knut Drescher, Raimo Hartmann, Rachel Mok, Joe͏̈l Daou, Francisco Díaz-Pascual, Dominic J. Skinner and Jeffrey S. Oishi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Philip Pearce

20 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Pearce United Kingdom 10 194 75 71 71 64 21 418
Boyang Qin United States 13 94 0.5× 126 1.7× 75 1.1× 167 2.4× 33 0.5× 21 594
Japinder Nijjer United States 9 109 0.6× 50 0.7× 59 0.8× 46 0.6× 45 0.7× 14 313
François J. Peaudecerf Switzerland 12 62 0.3× 160 2.1× 40 0.6× 140 2.0× 85 1.3× 26 547
J. Dockery United States 10 300 1.5× 162 2.2× 47 0.7× 69 1.0× 86 1.3× 13 670
Fabian Czerwinski Germany 10 120 0.6× 222 3.0× 26 0.4× 14 0.2× 38 0.6× 15 453
Laura Guglielmini United States 14 154 0.8× 261 3.5× 106 1.5× 310 4.4× 28 0.4× 17 791
M. Mehdi Salek Canada 10 171 0.9× 190 2.5× 47 0.7× 38 0.5× 29 0.5× 24 402
Ottavio A. Croze United Kingdom 10 73 0.4× 230 3.1× 283 4.0× 32 0.5× 27 0.4× 18 434
Boya Song United States 7 221 1.1× 65 0.9× 79 1.1× 13 0.2× 90 1.4× 10 411
Hanliang Guo United States 10 65 0.3× 69 0.9× 133 1.9× 49 0.7× 23 0.4× 17 298

Countries citing papers authored by Philip Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Philip Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Pearce. A scholar is included among the top collaborators of Philip Pearce 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 Philip Pearce. Philip Pearce 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.
Walker, Benjamin J., et al.. (2025). Pattern formation along signaling gradients driven by active droplet behavior of cell swarms. Proceedings of the National Academy of Sciences. 122(21). e2419152122–e2419152122.
2.
Pearce, Philip, et al.. (2025). Emergent clogging of continuum particle suspensions in constricted channels. Journal of Fluid Mechanics. 1017. 1 indexed citations
3.
Weeden, Clare E., et al.. (2024). An agent-based modelling framework to study growth mechanisms in EGFR-L858R mutant cell alveolar type II cells. Royal Society Open Science. 11(7). 240413–240413. 2 indexed citations
4.
Yariv, Ehud, et al.. (2024). Hydrodynamic interactions between rough surfaces. Physical Review Fluids. 9(3). 4 indexed citations
5.
Pearce, Philip, et al.. (2023). Universal dynamics of biological pattern formation in spatio-temporal morphogen variations. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2271). 5 indexed citations
6.
Pearce, Philip, et al.. (2023). Motility-Induced Phase Separation Mediated by Bacterial Quorum Sensing. Physical Review Letters. 131(22). 228302–228302. 6 indexed citations
7.
Böhning, Jan, Ulrike Schulze, Phillip J. Stansfeld, et al.. (2023). Biophysical basis of filamentous phage tactoid-mediated antibiotic tolerance in P. aeruginosa. Nature Communications. 14(1). 8429–8429. 9 indexed citations
8.
Lam, Wilbur A., et al.. (2022). Feature tracking microfluidic analysis reveals differential roles of viscosity and friction in sickle cell blood. Lab on a Chip. 22(8). 1565–1575. 18 indexed citations
9.
Pearce, Philip, et al.. (2021). Emergent robustness of bacterial quorum sensing in fluid flow. Proceedings of the National Academy of Sciences. 118(10). 18 indexed citations
10.
Pearce, Philip, et al.. (2021). Robustness and Precision of Bacterial Quorum Sensing in Fluid Flow. Biophysical Journal. 120(3). 261a–261a. 1 indexed citations
11.
Pearce, Philip, et al.. (2019). Learning dynamical information from static protein and sequencing data. Nature Communications. 10(1). 5368–5368. 12 indexed citations
12.
Pearce, Philip, Boya Song, Dominic J. Skinner, et al.. (2019). Flow-Induced Symmetry Breaking in Growing Bacterial Biofilms. Physical Review Letters. 123(25). 258101–258101. 46 indexed citations
13.
Hartmann, Raimo, Praveen K. Singh, Philip Pearce, et al.. (2018). Emergence of three-dimensional order and structure in growing biofilms. Nature Physics. 15(3). 251–256. 202 indexed citations
14.
Daou, Joe͏̈l, et al.. (2018). Taylor dispersion in premixed combustion: Questions from turbulent combustion answered for laminar flames. Physical Review Fluids. 3(2). 12 indexed citations
15.
Pearce, Philip, Paul Brownbill, Jiřı́ Janáček, et al.. (2016). Image-Based Modeling of Blood Flow and Oxygen Transfer in Feto-Placental Capillaries. PLoS ONE. 11(10). e0165369–e0165369. 28 indexed citations
16.
Pearce, Philip & Joe͏̈l Daou. (2016). Initiation and evolution of triple flames subject to thermal expansion and gravity. Proceedings of the Combustion Institute. 36(1). 1431–1437. 3 indexed citations
17.
Pearce, Philip, et al.. (2015). Flame balls in non-uniform mixtures: existence and finite activation energy effects. Combustion Theory and Modelling. 20(1). 1–33. 10 indexed citations
18.
Pearce, Philip & Joe͏̈l Daou. (2013). The effect of gravity and thermal expansion on the propagation of a triple flame in a horizontal channel. Combustion and Flame. 160(12). 2800–2809. 12 indexed citations
19.
Pearce, Philip & Joe͏̈l Daou. (2013). Rayleigh–Bénard instability generated by a diffusion flame. Journal of Fluid Mechanics. 736. 464–494. 8 indexed citations
20.
Ghuman, Harmanvir, et al.. (1992). False positive acid-fast bacilli smears.. PubMed. 34(1). 47–8. 1 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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