Ryan M. Ames

702 citations
25 papers · 546 · h-index 12

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Nutrition, Genetics, and Disease

Papers in

    • Fungal and yeast genetics research 6
    • Bioinformatics and Genomic Networks 5
    • Genomics and Phylogenetic Studies 4
    • Muscle Physiology and Disorders 4
    • Circular RNAs in diseases 2
    • Evolution and Genetic Dynamics 4

Ryan M. Ames

25 papers receiving 540 citations

Peers

Ryan M. Ames
Comparison fields: 5 of 73
  • Genetics 170
  • Aging 9
  • Molecular Biology 236
  • Cell Biology 28
  • Complementary and alternative medicine 12
Replace Liming Hou with:
Liming Hou China
Caroline J. Tuck Australia
Kate M. Bermingham United Kingdom
Sarah A Reed United States
Kim Kukurba United States
Rachelle E Irwin United Kingdom
Marlies E. Elderman Netherlands
T.L. Scheffler United States
Dean B. Zaragoza Canada
Jennifer L. Gannon United States
Ryan M. Ames relative to Liming Hou China Liming Hou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ryan M. Ames

Since Specialization
Citations

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

Fields of papers citing papers by Ryan M. Ames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan M. Ames. 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 Ryan M. Ames. The network helps show where Ryan M. Ames may publish in the future.

Co-authors

The 25 scholars most cited alongside Ryan M. Ames, 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 Ryan M. Ames Line = papers co-authored together Ryan M. Ames links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016171
2 201945
3 201138
4 201035
5 202030
6 202130
7 201728
8 202022
9 202121
10 201915
11 202014
12 201513
13 202112
14 201310
15 20178
16 20218
17 20147
18 20167
19 20115
20 20145

About Ryan M. Ames

Ryan M. Ames is a scholar working on Molecular Biology, Genetics, Rehabilitation, Cell Biology and Plant Science, having authored 25 papers that have together received 546 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Bioinformatics and Genomic Networks (5 papers), Chromosomal and Genetic Variations (4 papers), Evolution and Genetic Dynamics (4 papers), Genomics and Phylogenetic Studies (4 papers), Muscle Physiology and Disorders (4 papers), Exercise and Physiological Responses (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Genetics (170 citations), Aging (9 citations), Molecular Biology (236 citations), Cell Biology (28 citations) and Complementary and alternative medicine (12 citations). Ryan M. Ames has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Simon C. Lovell, Lorna W. Harries, Daniela Delneri, David L. Robertson, Karen Moore, Michael Weedon, Idris Guessous, Katherine S. Ruth, Anna Murray and Samuel E. Jones. Their work appears in journals such as PLoS ONE, Aging, Bioinformatics, mBio and Molecular Biology and Evolution.

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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