Tom M. W. Nye

46 total papers · 810 total citations
19 papers, 492 citations indexed

About

Tom M. W. Nye is a scholar working on Molecular Biology, Paleontology and Genetics. According to data from OpenAlex, Tom M. W. Nye has authored 19 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Paleontology and 8 papers in Genetics. Recurrent topics in Tom M. W. Nye's work include Genomics and Phylogenetic Studies (10 papers), Evolution and Paleontology Studies (8 papers) and Genetic diversity and population structure (7 papers). Tom M. W. Nye is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Evolution and Paleontology Studies (8 papers) and Genetic diversity and population structure (7 papers). Tom M. W. Nye collaborates with scholars based in United Kingdom, United States and China. Tom M. W. Nye's co-authors include Walter R. Gilks, Píetro Lió, Tom A. Williams, T. Martin Embley, Peter G. Foster, Cymon J. Cox, Michael A. Singer, Richard J. Boys, Carlo Berzuini and Sarah A. Teichmann and has published in prestigious journals such as Bioinformatics, Philosophical Transactions of the Royal Society B Biological Sciences and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Tom M. W. Nye

18 papers receiving 480 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tom M. W. Nye	337	105	104	56	50	19	492
Peter Huggins	223 0.7×	91 0.9×	17 0.2×	49 0.9×	17 0.3×	21	464
Michael J. Chapman	153 0.5×	38 0.4×	28 0.3×	39 0.7×	8 0.2×	20	453
Sarah E. Heaps	245 0.7×	54 0.5×	120 1.2×	65 1.2×	31 0.6×	19	500
Alix Boc	281 0.8×	112 1.1×	94 0.9×	105 1.9×	17 0.3×	8	511
Olga K. Kamneva	394 1.2×	114 1.1×	44 0.4×	98 1.8×	24 0.5×	11	541
Von Bing Yap	346 1.0×	160 1.5×	52 0.5×	114 2.0×	33 0.7×	29	526
Michael Schöniger	335 1.0×	188 1.8×	50 0.5×	82 1.5×	65 1.3×	15	461
Alex Gavryushkin	238 0.7×	130 1.2×	59 0.6×	40 0.7×	34 0.7×	26	533
Clément-Marie Train	353 1.0×	94 0.9×	64 0.6×	84 1.5×	13 0.3×	7	462
Damjan Cicin-Sain	395 1.2×	95 0.9×	20 0.2×	46 0.8×	18 0.4×	13	507

Countries citing papers authored by Tom M. W. Nye

Since Specialization

Citations

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

Fields of papers citing papers by Tom M. W. Nye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom M. W. Nye. 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 Tom M. W. Nye. The network helps show where Tom M. W. Nye may publish in the future.

Co-authorship network of co-authors of Tom M. W. Nye

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

All Works

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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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