R. Williamson

795 total papers · 2.8k total citations
27 papers, 704 citations indexed

About

R. Williamson is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, R. Williamson has authored 27 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Genetics and 3 papers in Plant Science. Recurrent topics in R. Williamson's work include CRISPR and Genetic Engineering (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Chromosomal and Genetic Variations (3 papers). R. Williamson is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Chromosomal and Genetic Variations (3 papers). R. Williamson collaborates with scholars based in United Kingdom, United States and France. R. Williamson's co-authors include Dennis Drayna, David A. Hartley, Rebecca White, Kelvin J.A. Davies, Jean‐Louis Mandel, Giovanna Camerino, Hans Eiberg, Jan Mohr, Kjeld Schmiegelow and Robert H. Dodd and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

R. Williamson

27 papers receiving 646 citations

Author Peers

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

Author Last Decade Papers Cites
R. Williamson 342 270 109 103 99 27 704
M.F. Rousseau-Merck 377 1.1× 186 0.7× 81 0.7× 91 0.9× 70 0.7× 29 687
Niema Ibrahim 408 1.2× 255 0.9× 96 0.9× 109 1.1× 42 0.4× 22 762
Maria Garofalo 283 0.8× 119 0.4× 89 0.8× 70 0.7× 39 0.4× 32 793
J G Lesko 384 1.1× 275 1.0× 52 0.5× 62 0.6× 63 0.6× 15 806
Weihong Zhao 402 1.2× 260 1.0× 91 0.8× 54 0.5× 38 0.4× 23 740
Jorge Oliveira 435 1.3× 217 0.8× 25 0.2× 36 0.3× 82 0.8× 55 688
Bruno Copin 422 1.2× 215 0.8× 70 0.6× 44 0.4× 119 1.2× 22 853
Christoph Schorl 498 1.5× 76 0.3× 113 1.0× 44 0.4× 66 0.7× 36 833
Zhenling Wang 292 0.9× 109 0.4× 84 0.8× 41 0.4× 113 1.1× 32 697
Sayoko Fujimura 717 2.1× 167 0.6× 39 0.4× 140 1.4× 112 1.1× 20 849

Countries citing papers authored by R. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by R. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of R. Williamson. A scholar is included among the top collaborators of R. Williamson 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 R. Williamson. R. Williamson 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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