Andrew Phillips

4.6k total citations
58 papers, 2.6k citations indexed

About

Andrew Phillips is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Andrew Phillips has authored 58 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 12 papers in Genetics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Andrew Phillips's work include Gene Regulatory Network Analysis (26 papers), Advanced biosensing and bioanalysis techniques (19 papers) and DNA and Biological Computing (17 papers). Andrew Phillips is often cited by papers focused on Gene Regulatory Network Analysis (26 papers), Advanced biosensing and bioanalysis techniques (19 papers) and DNA and Biological Computing (17 papers). Andrew Phillips collaborates with scholars based in United Kingdom, United States and France. Andrew Phillips's co-authors include Neil Dalchau, Luca Cardelli, Georg Seelig, Matthew R. Lakin, Richard A. Muscat, Yuan-Jyue Chen, Stephen Emmott, Niranjan Srinivas, David Soloveichik and Jim Haseloff and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Andrew Phillips

56 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Phillips United Kingdom 27 2.1k 490 268 240 187 58 2.6k
Jae Young Lee South Korea 23 1.4k 0.7× 197 0.4× 153 0.6× 255 1.1× 227 1.2× 79 2.2k
Yaakov Benenson Switzerland 24 3.3k 1.5× 612 1.2× 378 1.4× 291 1.2× 208 1.1× 54 3.6k
Neil Dalchau United Kingdom 23 1.7k 0.8× 364 0.7× 122 0.5× 116 0.5× 75 0.4× 42 2.5k
Elisa Franco United States 27 1.9k 0.9× 386 0.8× 165 0.6× 139 0.6× 44 0.2× 118 2.5k
Seonghoon Kim South Korea 20 1.1k 0.5× 824 1.7× 341 1.3× 133 0.6× 157 0.8× 55 2.7k
Russell Schwartz United States 29 1.8k 0.8× 250 0.5× 135 0.5× 556 2.3× 56 0.3× 133 2.9k
John S. McCaskill Germany 26 1.8k 0.9× 381 0.8× 136 0.5× 761 3.2× 133 0.7× 117 3.2k
Douglas Densmore United States 30 2.2k 1.0× 994 2.0× 431 1.6× 459 1.9× 91 0.5× 100 3.4k
Sriram Kosuri United States 22 5.2k 2.5× 324 0.7× 93 0.3× 1.1k 4.7× 223 1.2× 33 5.6k
Aaron Chevalier United States 10 1.4k 0.6× 485 1.0× 187 0.7× 220 0.9× 39 0.2× 12 1.9k

Countries citing papers authored by Andrew Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Phillips. A scholar is included among the top collaborators of Andrew 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 Andrew Phillips. Andrew 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.
2.
Bögels, Bas W. A., Bichlien H. Nguyen, David P. Schrijver, et al.. (2023). DNA storage in thermoresponsive microcapsules for repeated random multiplexed data access. Nature Nanotechnology. 18(8). 912–921. 39 indexed citations
3.
Zhang, Jinny Xuemeng, Boyan Yordanov, Alexander L. Gaunt, et al.. (2021). A deep learning model for predicting next-generation sequencing depth from DNA sequence. Nature Communications. 12(1). 4387–4387. 47 indexed citations
4.
Murphy, Niall, et al.. (2020). Stochastic pulsing of gene expression enables the generation of spatial patterns in Bacillus subtilis biofilms. Nature Communications. 11(1). 950–950. 26 indexed citations
5.
Grant, Paul K., Jacob Halatek, Attila Csikász‐Nagy, et al.. (2020). Interpretation of morphogen gradients by a synthetic bistable circuit. Nature Communications. 11(1). 5545–5545. 16 indexed citations
6.
Joesaar, Alex, Shuo Yang, Bas W. A. Bögels, et al.. (2019). DNA-based communication in populations of synthetic protocells. Nature Nanotechnology. 14(4). 369–378. 265 indexed citations
7.
Boulanger, D., et al.. (2018). A Mechanistic Model for Predicting Cell Surface Presentation of Competing Peptides by MHC Class I Molecules. Frontiers in Immunology. 9. 1538–1538. 21 indexed citations
8.
Zhang, Jinny Xuemeng, John Fang, Lucia R. Wu, et al.. (2017). Predicting DNA hybridization kinetics from sequence. Nature Chemistry. 10(1). 91–98. 124 indexed citations
9.
Dalchau, Neil, et al.. (2017). A spatially localized architecture for fast and modular DNA computing. Nature Nanotechnology. 12(9). 920–927. 273 indexed citations
10.
Grant, Paul K., Neil Dalchau, J. R. Brown, et al.. (2016). Orthogonal intercellular signaling for programmed spatial behavior. Molecular Systems Biology. 12(1). 849–849. 52 indexed citations
11.
Petersen, Rasmus Lerchedahl, Matthew R. Lakin, & Andrew Phillips. (2015). A strand graph semantics for DNA-based computation. Theoretical Computer Science. 632. 43–73. 8 indexed citations
12.
Phillips, Andrew, et al.. (2015). A High-Level Language for Rule-Based Modelling. PLoS ONE. 10(6). e0114296–e0114296. 6 indexed citations
13.
Lakin, Matthew R., Darko Stefanović, & Andrew Phillips. (2015). Modular verification of chemical reaction network encodings via serializability analysis. Theoretical Computer Science. 632. 21–42. 9 indexed citations
14.
Lakin, Matthew R., Loïc Paulevé, & Andrew Phillips. (2012). Stochastic simulation of multiple process calculi for biology. Theoretical Computer Science. 431. 181–206. 10 indexed citations
15.
Cozy, Loralyn M., Andrew Phillips, Ashley R. Bate, et al.. (2012). SlrA/SinR/SlrR inhibits motility gene expression upstream of a hypersensitive and hysteretic switch at the level of σD in Bacillus subtilis. Molecular Microbiology. 83(6). 1210–1228. 44 indexed citations
16.
Dalchau, Neil, Andrew Phillips, Leonard D. Goldstein, et al.. (2011). A Peptide Filtering Relation Quantifies MHC Class I Peptide Optimization. PLoS Computational Biology. 7(10). e1002144–e1002144. 68 indexed citations
17.
Phillips, Andrew, Marian C. Aldhous, Nicholas Lewin‐Koh, et al.. (2010). OC-007 Risk of complications in a Scottish Crohn's disease cohort and association with disease location. A3.2–A3. 2 indexed citations
18.
Hateren, Andy van, Edward James, A.G. Bailey, et al.. (2010). The cell biology of major histocompatibility complex class I assembly: towards a molecular understanding. Tissue Antigens. 76(4). 259–275. 50 indexed citations
19.
Wang, Dennis, Luca Cardelli, Andrew Phillips, Nir Piterman, & Jasmin Fisher. (2009). Computational modeling of the EGFR network elucidates control mechanisms regulating signal dynamics. BMC Systems Biology. 3(1). 118–118. 27 indexed citations
20.
Cardelli, Luca, Emmanuelle Caron, Philippa Gardner, Ozan Kahramanoğulları, & Andrew Phillips. (2009). A process model of Rho GTP-binding proteins. Theoretical Computer Science. 410(33-34). 3166–3185. 13 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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