Nick G.C. Smith

3.4k total citations · 1 hit paper
38 papers, 2.6k citations indexed

About

Nick G.C. Smith is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Nick G.C. Smith has authored 38 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 24 papers in Genetics and 12 papers in Plant Science. Recurrent topics in Nick G.C. Smith's work include Genomics and Phylogenetic Studies (19 papers), Evolution and Genetic Dynamics (16 papers) and RNA and protein synthesis mechanisms (16 papers). Nick G.C. Smith is often cited by papers focused on Genomics and Phylogenetic Studies (19 papers), Evolution and Genetic Dynamics (16 papers) and RNA and protein synthesis mechanisms (16 papers). Nick G.C. Smith collaborates with scholars based in United Kingdom, Sweden and Spain. Nick G.C. Smith's co-authors include Adam Eyre‐Walker, Laurence D. Hurst, Hans Ellegren, Matthew T. Webster, Sofia Berlin, Erik Axelsson, Paul Fearnhead, Peter D. Keightley, Daniel J. Gaffney and David W. Burt and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Current Biology.

In The Last Decade

Nick G.C. Smith

38 papers receiving 2.5k citations

Hit Papers

Adaptive protein evolution in Drosophila 2002 2026 2010 2018 2002 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
Nick G.C. Smith United Kingdom 28 1.6k 1.5k 641 249 155 38 2.6k
Dominique Mouchiroud France 28 3.1k 1.9× 1.3k 0.8× 825 1.3× 204 0.8× 288 1.9× 40 3.8k
Josep M. Comeron United States 26 1.8k 1.1× 1.3k 0.8× 590 0.9× 256 1.0× 135 0.9× 40 2.7k
Thomas Wiehe Germany 25 1.2k 0.8× 1.1k 0.7× 448 0.7× 173 0.7× 113 0.7× 62 2.2k
Adi Fledel-Alon United States 9 1.6k 1.0× 1.7k 1.1× 763 1.2× 145 0.6× 83 0.5× 9 2.9k
Sarah B. Kingan United States 23 941 0.6× 1.2k 0.8× 759 1.2× 409 1.6× 220 1.4× 33 2.2k
Esther Betrán United States 23 2.0k 1.2× 1.5k 1.0× 1.4k 2.2× 313 1.3× 158 1.0× 44 3.0k
A. P. Jason de Koning United States 16 1.4k 0.9× 863 0.6× 752 1.2× 174 0.7× 248 1.6× 34 2.1k
Bertrand Bed’Hom France 29 1.0k 0.6× 1.8k 1.1× 459 0.7× 231 0.9× 178 1.1× 91 3.5k
Cristian I. Castillo-Davis United States 11 1.1k 0.7× 640 0.4× 354 0.6× 221 0.9× 92 0.6× 11 1.7k
Carolin Kosiol United Kingdom 22 1.1k 0.7× 1.1k 0.7× 269 0.4× 236 0.9× 216 1.4× 42 2.1k

Countries citing papers authored by Nick G.C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Nick G.C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick G.C. Smith. 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 Nick G.C. Smith. The network helps show where Nick G.C. Smith may publish in the future.

Co-authorship network of co-authors of Nick G.C. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Nick G.C. Smith. A scholar is included among the top collaborators of Nick G.C. Smith 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 Nick G.C. Smith. Nick G.C. Smith 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.
Berlin, Sofia, Mikael Brandström Durling, Niclas Backström, et al.. (2006). Substitution Rate Heterogeneity and the Male Mutation Bias. Journal of Molecular Evolution. 62(2). 226–233. 19 indexed citations
2.
Berlin, Sofia & Nick G.C. Smith. (2005). Testing for adaptive evolution of the female reproductive protein ZPC in mammals, birds and fishes reveals problems with the M7-M8 likelihood ratio test. BMC Evolutionary Biology. 5(1). 65–65. 19 indexed citations
3.
Fearnhead, Paul, et al.. (2005). Analysis of Recombination in Campylobacter jejuni from MLST Population Data. Journal of Molecular Evolution. 61(3). 333–340. 45 indexed citations
4.
Axelsson, Erik, Matthew T. Webster, Nick G.C. Smith, David W. Burt, & Hans Ellegren. (2004). Comparison of the chicken and turkey genomes reveals a higher rate of nucleotide divergence on microchromosomes than macrochromosomes. Genome Research. 15(1). 120–125. 119 indexed citations
5.
Webster, Matthew T. & Nick G.C. Smith. (2004). Fixation biases affecting human SNPs. Trends in Genetics. 20(3). 122–126. 43 indexed citations
6.
Axelsson, Erik, et al.. (2004). Male-Biased Mutation Rate and Divergence in Autosomal, Z-Linked and W-Linked Introns of Chicken and Turkey. Molecular Biology and Evolution. 21(8). 1538–1547. 149 indexed citations
7.
Berlin, Sofia, Nick G.C. Smith, & Hans Ellegren. (2004). Do Avian Mitochondria Recombine?. Journal of Molecular Evolution. 58(2). 163–167. 20 indexed citations
8.
Smith, Nick G.C. & Adam Eyre‐Walker. (2003). Partitioning the Variation in Mammalian Substitution Rates. Molecular Biology and Evolution. 20(1). 10–17. 33 indexed citations
9.
Smith, Nick G.C. & Adam Eyre‐Walker. (2003). Human disease genes: patterns and predictions. Gene. 318. 169–175. 76 indexed citations
10.
Smith, Nick G.C.. (2003). Are Radical and Conservative Substitution Rates Useful Statistics in Molecular Evolution?. Journal of Molecular Evolution. 57(4). 467–478. 36 indexed citations
11.
Ellegren, Hans, Nick G.C. Smith, & Matthew T. Webster. (2003). Mutation rate variation in the mammalian genome. Current Opinion in Genetics & Development. 13(6). 562–568. 110 indexed citations
12.
Smith, Nick G.C. & Adam Eyre‐Walker. (2002). The Compositional Evolution of the Murid Genome. Journal of Molecular Evolution. 55(2). 197–201. 19 indexed citations
13.
Smith, Nick G.C., Matthew T. Webster, & Hans Ellegren. (2002). Deterministic Mutation Rate Variation in the Human Genome. Genome Research. 12(9). 1350–1356. 96 indexed citations
14.
Eyre‐Walker, Adam, Peter D. Keightley, Nick G.C. Smith, & Daniel J. Gaffney. (2002). Quantifying the Slightly Deleterious Mutation Model of Molecular Evolution. Molecular Biology and Evolution. 19(12). 2142–2149. 161 indexed citations
15.
Lercher, Martin J., Nick G.C. Smith, Adam Eyre‐Walker, & Laurence D. Hurst. (2002). The Evolution of Isochores: Evidence From SNP Frequency Distributions. Genetics. 162(4). 1805–1810. 50 indexed citations
16.
Smith, Nick G.C. & Adam Eyre‐Walker. (2002). Adaptive protein evolution in Drosophila. Nature. 415(6875). 1022–1024. 521 indexed citations breakdown →
17.
Smith, Nick G.C. & Adam Eyre‐Walker. (2001). Synonymous Codon Bias Is Not Caused by Mutation Bias in G+C-Rich Genes in Humans. Molecular Biology and Evolution. 18(6). 982–986. 67 indexed citations
18.
Smith, Nick G.C.. (2000). The evolution of haplodiploidy under inbreeding. Heredity. 84(2). 186–192. 19 indexed citations
19.
Hurst, Laurence D. & Nick G.C. Smith. (1999). Do essential genes evolve slowly?. Current Biology. 9(14). 747–750. 201 indexed citations
20.
Smith, Nick G.C., Robert Knight, & Laurence D. Hurst. (1999). Vertebrate genome evolution: a slow shuffle or a big bang?. BioEssays. 21(8). 697–703. 46 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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