Philip J. Gerrish

6.3k total citations · 2 hit papers
34 papers, 3.9k citations indexed

About

Philip J. Gerrish is a scholar working on Genetics, Sociology and Political Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Philip J. Gerrish has authored 34 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 13 papers in Sociology and Political Science and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Philip J. Gerrish's work include Evolution and Genetic Dynamics (30 papers), Evolutionary Game Theory and Cooperation (13 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (12 papers). Philip J. Gerrish is often cited by papers focused on Evolution and Genetic Dynamics (30 papers), Evolutionary Game Theory and Cooperation (13 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (12 papers). Philip J. Gerrish collaborates with scholars based in United States, Portugal and Mexico. Philip J. Gerrish's co-authors include Richard E. Lenski, Paul Sniegowski, Toby Johnson, Aaron C. Shaver, Lindi M. Wahl, Santiago F. Elena, J. Arjan G. M. de Visser, Daniel E. Rozen, Rosario Miralles and Andrés Moyá and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Philip J. Gerrish

32 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evolution of high mutation rates in experimental populations of E. coli

1997 667 citations Paul Sniegowski, Philip J. Gerrish et al. Nature profile →
The fate of competing beneficial mutations in an asexual population

1998 610 citations Philip J. Gerrish, Richard E. Lenski Genetica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip J. Gerrish United States	19	3.0k	1.6k	1.2k	720	468	34	3.9k
Michael M. Desai United States	38	3.9k 1.3×	2.9k 1.8×	1.4k 1.1×	654 0.9×	630 1.3×	80	5.6k
Margaret J. Mackinnon United Kingdom	40	2.1k 0.7×	503 0.3×	339 0.3×	3.2k 4.4×	532 1.1×	74	5.2k
Sergey Kryazhimskiy United States	21	1.3k 0.4×	1.2k 0.8×	300 0.3×	198 0.3×	310 0.7×	34	2.6k
Christina L. Burch United States	25	1.5k 0.5×	1.2k 0.8×	457 0.4×	389 0.5×	553 1.2×	46	3.0k
Rafael Sanjuán Spain	39	2.8k 0.9×	2.5k 1.5×	519 0.4×	859 1.2×	2.0k 4.4×	146	7.0k
Isabel S. Novella United States	29	1.3k 0.4×	713 0.4×	195 0.2×	718 1.0×	884 1.9×	63	3.0k
Holly A. Wichman United States	30	1.9k 0.6×	1.5k 0.9×	495 0.4×	322 0.4×	1.2k 2.6×	75	3.0k
Greg Dwyer United States	28	1.1k 0.4×	484 0.3×	257 0.2×	602 0.8×	796 1.7×	62	3.1k
Cristina Escarmı́s Spain	39	1.4k 0.4×	1.7k 1.0×	189 0.2×	574 0.8×	1.0k 2.2×	74	4.7k
Art F. Y. Poon Canada	32	953 0.3×	1.4k 0.9×	172 0.1×	310 0.4×	475 1.0×	114	4.5k

Countries citing papers authored by Philip J. Gerrish

Since Specialization

Citations

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

Fields of papers citing papers by Philip J. Gerrish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip J. Gerrish

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Gerrish. A scholar is included among the top collaborators of Philip J. Gerrish 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 J. Gerrish. Philip J. Gerrish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rodríguez‐Torres, Erika Elizabeth, et al.. (2024). Estimating the Rate of Mutation to a Mutator Phenotype. Axioms. 13(2). 117–117.

Gerrish, Philip J., et al.. (2021). Why are viral genomes so fragile? The bottleneck hypothesis. PLoS Computational Biology. 17(7). e1009128–e1009128. 4 indexed citations

Gerrish, Philip J., et al.. (2021). How Unequal Vaccine Distribution Promotes the Evolution of Vaccine Escape. SSRN Electronic Journal. 2 indexed citations

Sniegowski, Paul, et al.. (2017). Dynamics and Fate of Beneficial Mutations Under Lineage Contamination by Linked Deleterious Mutations. Genetics. 205(3). 1305–1318. 16 indexed citations

Gerrish, Philip J. & Paul Sniegowski. (2012). Real time forecasting of near-future evolution. Journal of The Royal Society Interface. 9(74). 2268–2278. 14 indexed citations

Sprouffske, Kathleen, Lauren M.F. Merlo, Philip J. Gerrish, Carlo C. Maley, & Paul Sniegowski. (2012). Cancer in Light of Experimental Evolution. Current Biology. 22(17). R762–R771. 70 indexed citations

Gerrish, Philip J., Paul Sniegowski, Theodore E. Simos, et al.. (2011). Adding Dynamical Sufficiency to Fisher’s Fundamental Theorem of Natural Selection. AIP conference proceedings. 1260–1262. 1 indexed citations

Sniegowski, Paul & Philip J. Gerrish. (2010). Beneficial mutations and the dynamics of adaptation in asexual populations. Philosophical Transactions of the Royal Society B Biological Sciences. 365(1544). 1255–1263. 125 indexed citations

Gerrish, Philip J.. (2008). A Simple Formula for Obtaining Markedly Improved Mutation Rate Estimates. Genetics. 180(3). 1773–1778. 20 indexed citations

10.

Gerrish, Philip J., et al.. (2007). Complete genetic linkage can subvert natural selection. Proceedings of the National Academy of Sciences. 104(15). 6266–6271. 63 indexed citations

11.

Gerrish, Philip J. & J. Gerardo Garcı́a-Lerma. (2003). Mutation rate and the efficacy of antimicrobial drug treatment. The Lancet Infectious Diseases. 3(1). 28–32. 34 indexed citations

12.

Kalish, Marcia L., Bette Korber, Satish K. Pillai, et al.. (2002). The Sequential Introduction of HIV-1 Subtype B and CRF01 AE in Singapore by Sexual Transmission: Accelerated V3 Region Evolution in a Subpopulation of Asian CRF01 Viruses. Virology. 304(2). 311–329. 12 indexed citations

13.

Johnson, Toby & Philip J. Gerrish. (2002). The Fixation Probability of a Beneficial Allele in a Population Dividing by Binary Fission. Genetica. 115(3). 283–287. 17 indexed citations

14.

Rozen, Daniel E., J. Arjan G. M. de Visser, & Philip J. Gerrish. (2002). Fitness Effects of Fixed Beneficial Mutations in Microbial Populations. Current Biology. 12(12). 1040–1045. 160 indexed citations

15.

Wahl, Lindi M. & Philip J. Gerrish. (2001). THE PROBABILITY THAT BENEFICIAL MUTATIONS ARE LOST IN POPULATIONS WITH PERIODIC BOTTLENECKS. Evolution. 55(12). 2606–2610. 103 indexed citations

16.

Gerrish, Philip J.. (2001). The rhythm of microbial adaptation. Nature. 413(6853). 299–302. 49 indexed citations

17.

Garcı́a-Lerma, J. Gerardo, Philip J. Gerrish, Anthony C. Wright, Shoukat H. Qari, & Walid Heneine. (2000). Evidence of a Role for the Q151L Mutation and the Viral Background in Development of Multiple Dideoxynucleoside-Resistant Human Immunodeficiency Virus Type 1. Journal of Virology. 74(20). 9339–9346. 47 indexed citations

18.

Sniegowski, Paul, Philip J. Gerrish, Toby Johnson, & Aaron C. Shaver. (2000). The evolution of mutation rates: separating causes from consequences. BioEssays. 22(12). 1057–1066. 364 indexed citations

19.

Lenski, Richard E., Judith A. Mongold, Paul Sniegowski, et al.. (1998). Evolution of competitive fitness in experimental populations of E. coli: What makes one genotype a better competitor than another?. Antonie van Leeuwenhoek. 73(1). 35–47. 116 indexed citations

20.

Sniegowski, Paul, Philip J. Gerrish, & Richard E. Lenski. (1997). Evolution of high mutation rates in experimental populations of E. coli. Nature. 387(6634). 703–705. 667 indexed citations breakdown →

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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