Ryan M. Ames

719 total citations
25 papers, 495 citations indexed

About

Ryan M. Ames is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Ryan M. Ames has authored 25 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Physiology. Recurrent topics in Ryan M. Ames's work include Fungal and yeast genetics research (7 papers), Genomics and Phylogenetic Studies (5 papers) and Muscle Physiology and Disorders (4 papers). Ryan M. Ames is often cited by papers focused on Fungal and yeast genetics research (7 papers), Genomics and Phylogenetic Studies (5 papers) and Muscle Physiology and Disorders (4 papers). Ryan M. Ames collaborates with scholars based in United Kingdom, United States and Italy. Ryan M. Ames's co-authors include Simon C. Lovell, Lorna W. Harries, Daniela Delneri, David L. Robertson, Karen Moore, Michael N. Weedon, Daniel Money, Andrew R. Wood, Timothy M. Frayling and Robin N. Beaumont and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Ryan M. Ames

25 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan M. Ames United Kingdom 13 281 148 76 75 61 25 495
Adnan Alazizi United States 15 337 1.2× 89 0.6× 62 0.8× 91 1.2× 36 0.6× 25 744
Magda Montfort Spain 12 299 1.1× 72 0.5× 36 0.5× 228 3.0× 40 0.7× 20 589
Daniela D’Amico Brazil 19 378 1.3× 285 1.9× 22 0.3× 87 1.2× 28 0.5× 32 718
Hamdan Hamdan United Arab Emirates 12 164 0.6× 36 0.2× 77 1.0× 51 0.7× 25 0.4× 57 547
Vedbar S. Khadka United States 18 436 1.6× 72 0.5× 20 0.3× 32 0.4× 184 3.0× 52 797
Rossella Negri Italy 11 321 1.1× 83 0.6× 37 0.5× 51 0.7× 31 0.5× 19 664
Wucai Yang China 19 355 1.3× 323 2.2× 144 1.9× 94 1.3× 243 4.0× 52 869
Camille Gautier Austria 13 132 0.5× 78 0.5× 99 1.3× 19 0.3× 33 0.5× 42 433
Scott Clements United States 9 266 0.9× 81 0.5× 30 0.4× 176 2.3× 18 0.3× 16 656
Meenu Ghai South Africa 14 346 1.2× 191 1.3× 54 0.7× 25 0.3× 34 0.6× 32 701

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-authorship network of co-authors of Ryan M. Ames

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

All Works

20 of 20 papers shown
1.
Bayón, Carlos, J. J. Rudd, Ryan M. Ames, et al.. (2025). A conserved fungal Knr4/Smi1 protein is crucial for maintaining cell wall stress tolerance and host plant pathogenesis. PLoS Pathogens. 21(1). e1012769–e1012769. 1 indexed citations
2.
Rawlins, Lettie E., Hannah Jones, Olivia Wenger, et al.. (2021). A biallelic SNIP1 Amish founder variant causes a recognizable neurodevelopmental disorder. PLoS Genetics. 17(9). e1009803–e1009803. 6 indexed citations
3.
Namboori, Seema C., et al.. (2021). Single-cell transcriptomics identifies master regulators of neurodegeneration in SOD1 ALS iPSC-derived motor neurons. Stem Cell Reports. 16(12). 3020–3035. 19 indexed citations
4.
Jeffery, Nicola, David Chambers, Brandon M. Invergo, Ryan M. Ames, & Lorna W. Harries. (2021). Changes to the identity of EndoC-βH1 beta cells may be mediated by stress-induced depletion of HNRNPD. Cell & Bioscience. 11(1). 144–144. 3 indexed citations
5.
Deane, Colleen S., Bethan E. Phillips, Philip J. Atherton, et al.. (2021). Transcriptomic meta‐analysis of disuse muscle atrophy vs. resistance exercise‐induced hypertrophy in young and older humans. Journal of Cachexia Sarcopenia and Muscle. 12(3). 629–645. 25 indexed citations
6.
Deane, Colleen S., Ryan M. Ames, Joseph J. Bass, et al.. (2021). Transcriptomic adaptation during skeletal muscle habituation to eccentric or concentric exercise training. Scientific Reports. 11(1). 23930–23930. 12 indexed citations
8.
Ames, Ryan M., et al.. (2020). Islet-expressed circular RNAs are associated with type 2 diabetes status in human primary islets and in peripheral blood. BMC Medical Genomics. 13(1). 64–64. 27 indexed citations
9.
Ames, Ryan M., Colleen S. Deane, Bethan E. Phillips, et al.. (2020). Network analysis of human muscle adaptation to aging and contraction. Aging. 12(1). 740–755. 14 indexed citations
10.
Thomas, Graham H., Judith M. Bain, Susan Budge, Alistair J. P. Brown, & Ryan M. Ames. (2020). Identifying Candida albicans Gene Networks Involved in Pathogenicity. Frontiers in Genetics. 11. 375–375. 5 indexed citations
11.
Meakin, Judith R., Ryan M. Ames, J. Charles G. Jeynes, et al.. (2019). The feasibility of using citizens to segment anatomy from medical images: Accuracy and motivation. PLoS ONE. 14(10). e0222523–e0222523. 4 indexed citations
12.
Ames, Ryan M., Karen Moore, Luke C. Pilling, et al.. (2019). circRNAs expressed in human peripheral blood are associated with human aging phenotypes, cellular senescence and mouse lifespan. GeroScience. 42(1). 183–199. 43 indexed citations
13.
Naseeb, Samina, Ryan M. Ames, Daniela Delneri, & Simon C. Lovell. (2017). Rapid functional and evolutionary changes follow gene duplication in yeast. Proceedings of the Royal Society B Biological Sciences. 284(1861). 20171393–20171393. 27 indexed citations
14.
Tyrrell, Jessica, Andrew R. Wood, Ryan M. Ames, et al.. (2016). Gene–obesogenic environment interactions in the UK Biobank study. International Journal of Epidemiology. 46(2). dyw337–dyw337. 152 indexed citations
15.
Ames, Ryan M., David Talavera, Simon G. Williams, David L. Robertson, & Simon C. Lovell. (2016). Binding interface change and cryptic variation in the evolution of protein-protein interactions. BMC Evolutionary Biology. 16(1). 40–40. 6 indexed citations
16.
Ames, Ryan M., et al.. (2015). Disentangling the multigenic and pleiotropic nature of molecular function. BMC Systems Biology. 9(S6). S3–S3. 12 indexed citations
17.
Ames, Ryan M., Daniel Money, & Simon C. Lovell. (2014). Inferring Gene Family Histories in Yeast Identifies Lineage Specific Expansions. PLoS ONE. 9(6). e99480–e99480. 7 indexed citations
18.
Ames, Ryan M. & Simon C. Lovell. (2014). DupliPHY-Web: a web server for DupliPHY and DupliPHY-ML. Bioinformatics. 31(3). 416–417. 5 indexed citations
19.
Ames, Ryan M., et al.. (2013). Modular Biological Function Is Most Effectively Captured by Combining Molecular Interaction Data Types. PLoS ONE. 8(5). e62670–e62670. 10 indexed citations
20.
Ames, Ryan M. & Simon C. Lovell. (2011). Diversification at Transcription Factor Binding Sites within a Species and the Implications for Environmental Adaptation. Molecular Biology and Evolution. 28(12). 3331–3344. 5 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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