R. Bevers

2.5k citations
13 papers · 383 · h-index 10

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Evolution and Genetic Dynamics
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 3
    • Evolution and Genetic Dynamics 3
    • Genetic and Kidney Cyst Diseases 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • CRISPR and Genetic Engineering 2

R. Bevers

13 papers receiving 380 citations

Peers

R. Bevers
Comparison fields: 5 of 78
  • Aging 214
  • Genetics 173
  • Endocrine and Autonomic Systems 34
  • Molecular Biology 170
  • Physical and Theoretical Chemistry 14
Replace Robyn E. Tanny with:
Robyn E. Tanny United States
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Dmitriy Skvortsov United Kingdom
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Yasuji Sakube Japan
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Amy K. Webster United States
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R. Bevers relative to Robyn E. Tanny United States Robyn E. Tanny's profile →
Citations per field
00.5×6.3×
Robyn E. Tanny · 1×
Citations per year

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-authors

The 25 scholars most cited alongside R. Bevers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Bevers Line = papers co-authored together R. Bevers links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201580
2 201259
3 201748
4 201747
5 201741
6 201429
7 202124
8 202115
9 201913
10 202012
11 20228
12 20234
13 20243

About R. Bevers

R. Bevers is a scholar working on Genetics, Molecular Biology, Aging, Endocrine and Autonomic Systems and Physiology, having authored 13 papers that have together received 383 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Circadian rhythm and melatonin (3 papers), Evolution and Genetic Dynamics (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Spaceflight effects on biology (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (214 citations), Genetics (173 citations), Endocrine and Autonomic Systems (34 citations), Molecular Biology (170 citations) and Physical and Theoretical Chemistry (14 citations). R. Bevers has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jan E. Kammenga, Basten L. Snoek, Joost A. G. Riksen, Mark G. Sterken, Rita Volkers, Andrew R. Cossins, Rachel Brenchley, Arjèn van’t Hof, Bart Deplancke and Maria Litovchenko. Their work appears in journals such as eLife, Journal of Medical Genetics, Scientific Reports, BMC Genomics and Nature Communications.

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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