Mathew Woodwark

1.3k total citations · 1 hit paper
8 papers, 912 citations indexed

About

Mathew Woodwark is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mathew Woodwark has authored 8 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mathew Woodwark's work include Genetic diversity and population structure (4 papers), Genomics and Phylogenetic Studies (3 papers) and Receptor Mechanisms and Signaling (2 papers). Mathew Woodwark is often cited by papers focused on Genetic diversity and population structure (4 papers), Genomics and Phylogenetic Studies (3 papers) and Receptor Mechanisms and Signaling (2 papers). Mathew Woodwark collaborates with scholars based in United Kingdom, Australia and Germany. Mathew Woodwark's co-authors include D. O. F. Skibinski, Robert Ward, R. DeC. Ward, Robin G. Allaby, Robert McEwen, David Michalovich, Henrik Seidel, Peter Gildsig Jansen, B Weiss and Lee Harland and has published in prestigious journals such as Nature Reviews Drug Discovery, Genetics and Heredity.

In The Last Decade

Mathew Woodwark

8 papers receiving 835 citations

Hit Papers

align trajectories sort by overperformance

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.

A comparison of genetic diversity levels in marine, freshwater, and anadromous fishes

1994 841 citations Robert Ward, Mathew Woodwark et al. Journal of Fish Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathew Woodwark United Kingdom	6	688	452	370	268	222	8	912
Dorte Meldrup Denmark	16	771 1.1×	541 1.2×	372 1.0×	184 0.7×	315 1.4×	20	1.2k
Anna Kristín Daníelsdóttir Iceland	18	422 0.6×	396 0.9×	336 0.9×	141 0.5×	267 1.2×	41	882
Harumi Sakai Japan	15	244 0.4×	440 1.0×	276 0.7×	329 1.2×	198 0.9×	57	769
J. K. J. VAN HOUDT Belgium	17	484 0.7×	320 0.7×	294 0.8×	190 0.7×	254 1.1×	31	839
Yuri Ph. Kartavtsev Russia	14	380 0.6×	277 0.6×	521 1.4×	209 0.8×	173 0.8×	53	777
Shigeru Shirai Japan	12	243 0.4×	586 1.3×	549 1.5×	310 1.2×	180 0.8×	26	1.0k
Svein‐Erik Fevolden Norway	18	463 0.7×	460 1.0×	265 0.7×	275 1.0×	351 1.6×	33	1.1k
A. G. Osinov Russia	14	652 0.9×	566 1.3×	291 0.8×	359 1.3×	227 1.0×	32	893
Marja‐Liisa Koljonen Finland	20	696 1.0×	815 1.8×	164 0.4×	285 1.1×	274 1.2×	48	1.2k
S.E. Fevolden Norway	15	291 0.4×	273 0.6×	152 0.4×	318 1.2×	279 1.3×	25	799

Countries citing papers authored by Mathew Woodwark

Since Specialization

Citations

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

Fields of papers citing papers by Mathew Woodwark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathew Woodwark

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

All Works

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8 of 8 papers shown

1.

Sidders, Ben S., Alex Gutteridge, Lee Harland, et al.. (2014). Precompetitive activity to address the biological data needs of drug discovery. Nature Reviews Drug Discovery. 13(2). 83–84. 12 indexed citations

2.

Allaby, Robin G. & Mathew Woodwark. (2007). Phylogenomic analysis reveals extensive phylogenetic mosaicism in the human GPCR superfamily.. PubMed. 3. 357–70. 7 indexed citations

3.

Allaby, Robin G. & Mathew Woodwark. (2007). Phylogenomic Analysis Reveals Extensive Phylogenetic Mosaicism in the Human GPCR Superfamily. Evolutionary Bioinformatics. 3. 5 indexed citations

4.

Allaby, Robin G. & Mathew Woodwark. (2004). Phylogenetics in the bioinformatics culture of understanding. Comparative and Functional Genomics. 5(2). 128–146. 7 indexed citations

5.

Ward, Robert, Mathew Woodwark, & D. O. F. Skibinski. (1994). A comparison of genetic diversity levels in marine, freshwater, and anadromous fishes. Journal of Fish Biology. 44(2). 213–232. 841 indexed citations breakdown →

6.

Skibinski, D. O. F., Mathew Woodwark, & R. DeC. Ward. (1993). A quantitative test of the neutral theory using pooled allozyme data.. Genetics. 135(1). 233–248. 35 indexed citations

7.

Woodwark, Mathew, D. O. F. Skibinski, & R. DeC. Ward. (1993). Analysis of distributions of single-locus heterozygosity as a test of neutral theory. Genetics Research. 62(3). 223–230. 2 indexed citations

8.

Woodwark, Mathew, D. O. F. Skibinski, & R. DeC. Ward. (1992). A study of interlocus allozyme heterozygosity correlations: implications for neutral theory. Heredity. 69(2). 190–198. 3 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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