Frank Wright

7.9k total citations · 5 hit papers
59 papers, 6.1k citations indexed

About

Frank Wright is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Frank Wright has authored 59 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Plant Science and 12 papers in Genetics. Recurrent topics in Frank Wright's work include Genomics and Phylogenetic Studies (20 papers), RNA and protein synthesis mechanisms (11 papers) and Genetic diversity and population structure (9 papers). Frank Wright is often cited by papers focused on Genomics and Phylogenetic Studies (20 papers), RNA and protein synthesis mechanisms (11 papers) and Genetic diversity and population structure (9 papers). Frank Wright collaborates with scholars based in United Kingdom, Italy and Ireland. Frank Wright's co-authors include Gráinne McGuire, David Marshall, Iain Milne, Paul M. Sharp, Denis C. Shields, Desmond G. Higgins, Mervyn J. Bibb, Dirk Husmeier, Micha Bayer and Kenneth H. Wolfe and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Frank Wright

58 papers receiving 6.0k citations

Hit Papers

The ‘effective number of codons’ used in a gene 1988 2026 2000 2013 1990 2008 2009 1988 1988 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
Frank Wright United Kingdom 26 3.7k 1.9k 1.1k 736 449 59 6.1k
Joshua Orvis United States 19 3.5k 1.0× 2.3k 1.2× 929 0.9× 562 0.8× 412 0.9× 28 5.8k
Margaret Priest United States 5 3.5k 0.9× 1.9k 1.0× 803 0.7× 1.3k 1.7× 421 0.9× 6 5.9k
Ian Longden United Kingdom 2 4.7k 1.3× 1.7k 0.9× 1.1k 1.0× 1.2k 1.7× 367 0.8× 2 7.3k
Alexis Dereeper France 22 2.6k 0.7× 2.2k 1.1× 615 0.6× 839 1.1× 396 0.9× 53 5.6k
François Chevenet France 14 2.7k 0.7× 1.4k 0.7× 502 0.5× 835 1.1× 463 1.0× 24 5.4k
John Maslen United Kingdom 3 3.6k 1.0× 2.1k 1.1× 835 0.8× 1.2k 1.7× 481 1.1× 3 6.2k
Roxanne A. Yamashita United States 13 3.9k 1.1× 2.2k 1.1× 571 0.5× 845 1.1× 189 0.4× 19 6.3k
Craig McAnulla United Kingdom 10 3.5k 0.9× 2.1k 1.1× 837 0.8× 1.3k 1.8× 483 1.1× 13 6.2k
A. F. Quinn United Kingdom 4 3.3k 0.9× 2.0k 1.1× 811 0.8× 1.2k 1.6× 477 1.1× 5 5.9k

Countries citing papers authored by Frank Wright

Since Specialization
Citations

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

Fields of papers citing papers by Frank Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Wright. A scholar is included among the top collaborators of Frank Wright 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 Frank Wright. Frank Wright 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
2.
McLean, Kevin, Javier Palarea‐Albaladejo, Carol Currie, et al.. (2018). Rapid and robust analytical protocol for E. coli STEC bacteria subspecies differentiation using whole cell MALDI mass spectrometry. Talanta. 182. 164–170. 7 indexed citations
3.
Palarea‐Albaladejo, Javier, Kevin McLean, Frank Wright, & David G. Smith. (2017). MALDIrppa: quality control and robust analysis for mass spectrometry data. Bioinformatics. 34(3). 522–523. 25 indexed citations
4.
Schreiber, Miriam, Frank Wright, Pete E. Hedley, et al.. (2014). The Barley Genome Sequence Assembly Reveals Three Additional Members of the CslF (1,3;1,4)-β-Glucan Synthase Gene Family. PLoS ONE. 9(3). e90888–e90888. 45 indexed citations
5.
Phillips, Dylan, Cândida Nibau, Abdellah Barakate, et al.. (2013). Quantitative high resolution mapping of HvMLH3 foci in barley pachytene nuclei reveals a strong distal bias and weak interference. Journal of Experimental Botany. 64(8). 2139–2154. 18 indexed citations
6.
Jupe, Florian, Leighton Pritchard, Graham Etherington, et al.. (2012). Identification and localisation of the NB-LRR gene family within the potato genome. BMC Genomics. 13(1). 75–75. 234 indexed citations
7.
Sait, Michelle, Nick Wheelhouse, Morag Livingstone, et al.. (2011). Genetic variability of Chlamydophila abortus strains assessed by PCR-RFLP analysis of polymorphic membrane protein-encoding genes. Veterinary Microbiology. 151(3-4). 284–290. 8 indexed citations
8.
Ducreux, Laurence J. M., Wayne L. Morris, Ian M. Prosser, et al.. (2008). Expression profiling of potato germplasm differentiated in quality traits leads to the identification of candidate flavour and texture genes. Journal of Experimental Botany. 59(15). 4219–4231. 53 indexed citations
9.
Öpik, Maarja, Mari Moora, Martin Zobel, et al.. (2008). High diversity of arbuscular mycorrhizal fungi in a boreal herb‐rich coniferous forest. New Phytologist. 179(3). 867–876. 132 indexed citations
10.
Liu, Zhenyu, Jorunn I. B. Bos, Miles R. Armstrong, et al.. (2004). Patterns of Diversifying Selection in the Phytotoxin-like scr74 Gene Family of Phytophthora infestans. Molecular Biology and Evolution. 22(3). 659–672. 97 indexed citations
11.
Husmeier, Dirk, Frank Wright, & Iain Milne. (2004). Detecting interspecific recombination with a pruned probabilistic divergence measure. Computer applications in the biosciences. 21(9). 1797–1806. 11 indexed citations
13.
14.
McGuire, Gráinne & Frank Wright. (1998). TOPAL: recombination detection in DNA and protein sequences.. Bioinformatics. 14(2). 219–220. 19 indexed citations
15.
Wright, Harry W., et al.. (1995). The nucleotide sequence of the sheep MHC class II DNA gene. Immunogenetics. 41(2-3). 131–3. 9 indexed citations
16.
McInnes, Colin J., Mary A. Logan, David M. Haig, & Frank Wright. (1994). Cloning of a cDNA encoding ovine interleukin-3. Gene. 139(2). 289–290. 5 indexed citations
17.
Avguštin, Gorazd, Frank Wright, & Harry J. Flint. (1994). Genetic Diversity and Phylogenetic Relationships among Strains of Prevotella (Bacteroides) ruminicola from the Rumen. International Journal of Systematic Bacteriology. 44(2). 246–255. 72 indexed citations
18.
Lally, Nicola C., et al.. (1992). A 2359-base pair DNA fragment from Cryptosporidium parvum encoding a repetitive oocyst protein. Molecular and Biochemical Parasitology. 56(1). 69–78. 33 indexed citations
19.
Wright, Frank & Mervyn J. Bibb. (1992). Codon usage in the G+C-rich Streptomyces genome. Gene. 113(1). 55–65. 381 indexed citations
20.
Sharp, Paul M., et al.. (1988). Codon usage patterns inEscherichia coli, Bacillus subtilis, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Drosophila melanogasterandHomo sapiens; a review of the considerable within-species diversity. Nucleic Acids Research. 16(17). 8207–8211. 504 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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