Ryan K. Oyama

1.0k total citations
9 papers, 812 citations indexed

About

Ryan K. Oyama is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Ryan K. Oyama has authored 9 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Molecular Biology. Recurrent topics in Ryan K. Oyama's work include Plant and animal studies (3 papers), Chromosomal and Genetic Variations (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). Ryan K. Oyama is often cited by papers focused on Plant and animal studies (3 papers), Chromosomal and Genetic Variations (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). Ryan K. Oyama collaborates with scholars based in United States, Germany and United Kingdom. Ryan K. Oyama's co-authors include Cathie Martin, Kevin M. Davies, Paul Bailey, Steve Mackay, Yongjin Shang, Vibeke Alm, George D. Weiblen, Michael J. Donoghue, Eugenio Butelli and Julien Venail and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and The American Naturalist.

In The Last Decade

Ryan K. Oyama

9 papers receiving 792 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 K. Oyama United States 9 558 321 311 165 138 9 812
Jeroen Stuurman Switzerland 12 788 1.4× 849 2.6× 496 1.6× 43 0.3× 98 0.7× 13 1.2k
Alexandre Dell’Olivo Switzerland 6 373 0.7× 337 1.0× 429 1.4× 43 0.3× 106 0.8× 6 614
Hong An China 15 499 0.9× 519 1.6× 105 0.3× 21 0.1× 109 0.8× 24 767
Aaron J. Windsor United States 12 529 0.9× 513 1.6× 250 0.8× 16 0.1× 345 2.5× 13 959
Yongqi Zheng China 14 464 0.8× 251 0.8× 191 0.6× 22 0.1× 213 1.5× 63 713
Andrea E. Berardi United States 11 243 0.4× 170 0.5× 223 0.7× 45 0.3× 81 0.6× 17 467
Eva Maria Sehr Austria 12 337 0.6× 701 2.2× 230 0.7× 19 0.1× 45 0.3× 21 891
Carolyn J. Nelson United States 10 177 0.3× 188 0.6× 284 0.9× 14 0.1× 76 0.6× 11 545
Mariëlle Schreuder Netherlands 12 320 0.6× 433 1.3× 78 0.3× 44 0.3× 36 0.3× 16 651
Anja David Germany 17 239 0.4× 659 2.1× 429 1.4× 23 0.1× 47 0.3× 23 1.0k

Countries citing papers authored by Ryan K. Oyama

Since Specialization
Citations

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

Fields of papers citing papers by Ryan K. Oyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan K. Oyama

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

All Works

9 of 9 papers shown
1.
Oyama, Ryan K., Martina V. Silber, & Susanne S. Renner. (2010). A specific insertion of a solo-LTR characterizes the Y-chromosome of Bryonia dioica (Cucurbitaceae). BMC Research Notes. 3(1). 166–166. 13 indexed citations
2.
Oyama, Ryan K., Kristina N. Jones, & David Baum. (2010). Sympatric Sister Species of Californian Antirrhinum and Their Transiently Specialized Pollinators. The American Midland Naturalist. 164(2). 337–347. 12 indexed citations
3.
Oyama, Ryan K., et al.. (2008). A sex‐linked SCAR marker in Bryonia dioica (Cucurbitaceae), a dioecious species with XY sex‐determination and homomorphic sex chromosomes. Journal of Evolutionary Biology. 22(1). 214–224. 16 indexed citations
4.
Oyama, Ryan K., Maria J. Clauss, Juergen Kroymann, et al.. (2008). The shrunken genome of Arabidopsis thaliana. Plant Systematics and Evolution. 273(3-4). 257–271. 30 indexed citations
5.
Schwinn, Kathy E., Julien Venail, Yongjin Shang, et al.. (2006). A Small Family of MYB -Regulatory Genes Controls Floral Pigmentation Intensity and Patterning in the Genus Antirrhinum. The Plant Cell. 18(4). 831–851. 453 indexed citations
6.
Oyama, Ryan K. & David Baum. (2004). Phylogenetic relationships of North American Antirrhinum (Veronicaceae). American Journal of Botany. 91(6). 918–925. 23 indexed citations
7.
8.
Weiblen, George D., Ryan K. Oyama, & Michael J. Donoghue. (2000). Phylogenetic Analysis of Dioecy in Monocotyledons. The American Naturalist. 155(1). 46–58. 136 indexed citations
9.
Coyne, Jerry A. & Ryan K. Oyama. (1995). Localization of pheromonal sexual dimorphism in Drosophila melanogaster and its effect on sexual isolation.. Proceedings of the National Academy of Sciences. 92(21). 9505–9509. 73 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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