R. Bevers

2.5k total citations
13 papers, 383 citations indexed

About

R. Bevers is a scholar working on Genetics, Molecular Biology and Aging. According to data from OpenAlex, R. Bevers has authored 13 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Aging. Recurrent topics in R. Bevers's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Evolution and Genetic Dynamics (3 papers) and Circadian rhythm and melatonin (3 papers). R. Bevers is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), Evolution and Genetic Dynamics (3 papers) and Circadian rhythm and melatonin (3 papers). R. Bevers collaborates with scholars based in United Kingdom, United States and Switzerland. R. Bevers's co-authors include Basten L. Snoek, Jan E. Kammenga, Joost A. G. Riksen, Mark G. Sterken, Rita Volkers, Andrew R. Cossins, Rachel Brenchley, Arjèn van’t Hof, Bart Deplancke and Maria Litovchenko and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

R. Bevers

13 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Bevers United Kingdom 10 214 173 170 50 36 13 383
Owen Thompson United States 6 183 0.9× 102 0.6× 175 1.0× 31 0.6× 14 0.4× 6 286
Robyn E. Tanny United States 13 301 1.4× 207 1.2× 154 0.9× 89 1.8× 24 0.7× 18 467
Iskra Katic Switzerland 10 223 1.0× 66 0.4× 292 1.7× 31 0.6× 42 1.2× 12 393
Amy K. Webster United States 9 283 1.3× 87 0.5× 168 1.0× 44 0.9× 54 1.5× 15 388
Margaret MacMorris United States 19 420 2.0× 77 0.4× 650 3.8× 68 1.4× 39 1.1× 22 891
Ryan Underwood United States 6 232 1.1× 44 0.3× 184 1.1× 16 0.3× 34 0.9× 11 328
T Blumenthal United States 13 383 1.8× 64 0.4× 347 2.0× 39 0.8× 40 1.1× 37 541
Yasuji Sakube Japan 10 174 0.8× 31 0.2× 289 1.7× 29 0.6× 28 0.8× 12 397
Dmitriy Skvortsov United Kingdom 6 255 1.2× 75 0.4× 276 1.6× 22 0.4× 68 1.9× 6 532
Tomoyuki Aizu Japan 7 62 0.3× 87 0.5× 201 1.2× 112 2.2× 43 1.2× 8 337

Countries citing papers authored by R. Bevers

Since Specialization
Citations

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

Fields of papers citing papers by R. Bevers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

13 of 13 papers shown
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Best, Sunayna, Jing Yu, Jenny Lord, et al.. (2022). Uncovering the burden of hidden ciliopathies in the 100 000 Genomes Project: a reverse phenotyping approach. Journal of Medical Genetics. 59(12). 1151–1164. 8 indexed citations
4.
Litovchenko, Maria, Antonio C.A. Meireles-Filho, Michael Frochaux, et al.. (2021). Extensive tissue-specific expression variation and novel regulators underlying circadian behavior. Science Advances. 7(5). 24 indexed citations
5.
Best, Sunayna, Jenny Lord, Christopher M. Watson, et al.. (2021). Molecular diagnoses in the congenital malformations caused by ciliopathies cohort of the 100,000 Genomes Project. Journal of Medical Genetics. 59(8). 737–747. 15 indexed citations
6.
Sterken, Mark G., R. Bevers, Rita Volkers, et al.. (2020). Dissecting the eQTL Micro-Architecture in Caenorhabditis elegans. Frontiers in Genetics. 11. 501376–501376. 12 indexed citations
7.
Bevers, R., Maria Litovchenko, Adamandia Kapopoulou, et al.. (2019). Mitochondrial haplotypes affect metabolic phenotypes in the Drosophila Genetic Reference Panel. Nature Metabolism. 1(12). 1226–1242. 13 indexed citations
8.
McDaid, Aaron F., Peter K. Joshi, Eleonora Porcu, et al.. (2017). Bayesian association scan reveals loci associated with human lifespan and linked biomarkers. Nature Communications. 8(1). 15842–15842. 47 indexed citations
9.
Sterken, Mark G., Jacopo Grilli, R. Bevers, et al.. (2017). Temporal dynamics of gene expression in heat-stressed Caenorhabditis elegans. PLoS ONE. 12(12). e0189445–e0189445. 41 indexed citations
10.
Snoek, Basten L., Mark G. Sterken, R. Bevers, et al.. (2017). Contribution of trans regulatory eQTL to cryptic genetic variation in C. elegans. BMC Genomics. 18(1). 500–500. 48 indexed citations
11.
Thompson, Owen, Basten L. Snoek, Harm Nijveen, et al.. (2015). Remarkably Divergent Regions Punctuate the Genome Assembly of theCaenorhabditis elegansHawaiian Strain CB4856. Genetics. 200(3). 975–989. 80 indexed citations
12.
Snoek, Basten L., Mark G. Sterken, Rita Volkers, et al.. (2014). A rapid and massive gene expression shift marking adolescent transition in C. elegans. Scientific Reports. 4(1). 3912–3912. 29 indexed citations
13.
Snoek, Basten L., et al.. (2012). Genetic variation for stress-response hormesis in C. elegans lifespan. Experimental Gerontology. 47(8). 581–587. 59 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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