Ryan A. Rapp

2.6k total citations · 1 hit paper
17 papers, 1.7k citations indexed

About

Ryan A. Rapp is a scholar working on Plant Science, Molecular Biology and Marketing. According to data from OpenAlex, Ryan A. Rapp has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 4 papers in Molecular Biology and 1 paper in Marketing. Recurrent topics in Ryan A. Rapp's work include Research in Cotton Cultivation (9 papers), Chromosomal and Genetic Variations (6 papers) and Plant Virus Research Studies (5 papers). Ryan A. Rapp is often cited by papers focused on Research in Cotton Cultivation (9 papers), Chromosomal and Genetic Variations (6 papers) and Plant Virus Research Studies (5 papers). Ryan A. Rapp collaborates with scholars based in United States, Spain and India. Ryan A. Rapp's co-authors include Jonathan F. Wendel, Lex Flagel, Joshua A. Udall, Pamela S. Soltis, Jeff J. Doyle, Andrew H. Paterson, Ran Hovav, Jennifer Hawkins, Stephen R. Proulx and Bhupendra Chaudhary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, New Phytologist and Annual Review of Genetics.

In The Last Decade

Ryan A. Rapp

17 papers receiving 1.7k citations

Hit Papers

Evolutionary Genetics of Genome Merger and Doubling in Pl... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan A. Rapp United States 14 1.5k 828 305 208 50 17 1.7k
Misook Ha United States 14 1.5k 1.0× 1.2k 1.4× 354 1.2× 100 0.5× 30 0.6× 19 1.9k
Corinne Mhiri France 19 1.6k 1.0× 814 1.0× 184 0.6× 121 0.6× 20 0.4× 26 1.7k
Ken–Ichi Nonomura Japan 20 2.1k 1.4× 1.6k 2.0× 306 1.0× 177 0.9× 31 0.6× 46 2.3k
Kunbo Wang China 31 2.1k 1.4× 973 1.2× 168 0.6× 77 0.4× 183 3.7× 114 2.4k
Simon Renny‐Byfield United States 16 1.0k 0.7× 686 0.8× 220 0.7× 233 1.1× 24 0.5× 19 1.2k
Sean Gordon United States 17 1.6k 1.0× 1.5k 1.9× 133 0.4× 163 0.8× 22 0.4× 26 2.0k
Leslie R. Goertzen United States 17 634 0.4× 665 0.8× 166 0.5× 411 2.0× 18 0.4× 40 1.1k
Claude Becker Germany 27 2.5k 1.6× 1.7k 2.0× 432 1.4× 172 0.8× 23 0.5× 53 3.0k
Clare Lister United Kingdom 19 2.4k 1.6× 1.6k 1.9× 919 3.0× 133 0.6× 24 0.5× 27 2.9k
Tetsuya Kurata Japan 27 2.5k 1.6× 2.0k 2.5× 91 0.3× 203 1.0× 21 0.4× 43 2.8k

Countries citing papers authored by Ryan A. Rapp

Since Specialization
Citations

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

Fields of papers citing papers by Ryan A. Rapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan A. Rapp

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

All Works

17 of 17 papers shown
1.
Hardigan, Michael A., Michael Dossett, Sara Montanari, et al.. (2023). Development of KASP fingerprinting panel for clonal identification in red raspberry (Rubus idaeus L.). Plant Breeding. 142(6). 798–808. 2 indexed citations
2.
Tucker, Sarah, Frank G. Dohleman, Dmitry Grapov, et al.. (2019). Evaluating maize phenotypic variance, heritability, and yield relationships at multiple biological scales across agronomically relevant environments. Plant Cell & Environment. 43(4). 880–902. 28 indexed citations
3.
Miikkulainen, Risto, et al.. (2018). Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 7 indexed citations
4.
Rapp, Ryan A., Candace H. Haigler, Lex Flagel, et al.. (2010). Gene expression in developing fibres of Upland cotton (Gossypium hirsutum L.) was massively altered by domestication. BMC Biology. 8(1). 139–139. 78 indexed citations
5.
Singh, B. P., Ryan A. Rapp, Jonathan F. Wendel, et al.. (2010). Phylogenetically Distinct Cellulose Synthase Genes Support Secondary Wall Thickening in Arabidopsis Shoot Trichomes and Cotton Fiber. Journal of Integrative Plant Biology. 52(2). 205–220. 75 indexed citations
6.
Rapp, Ryan A., Joshua A. Udall, & Jonathan F. Wendel. (2009). Genomic expression dominance in allopolyploids. BMC Biology. 7(1). 18–18. 220 indexed citations
7.
Hawkins, Jennifer, Stephen R. Proulx, Ryan A. Rapp, & Jonathan F. Wendel. (2009). Rapid DNA loss as a counterbalance to genome expansion through retrotransposon proliferation in plants. Proceedings of the National Academy of Sciences. 106(42). 17811–17816. 135 indexed citations
9.
Flagel, Lex, Ryan A. Rapp, Corrinne E. Grover, et al.. (2008). Phylogenetic, morphological, and chemotaxonomic incongruence in the North American endemic genus Echinacea. American Journal of Botany. 95(6). 756–765. 30 indexed citations
10.
Hovav, Ran, Joshua A. Udall, Bhupendra Chaudhary, et al.. (2008). Partitioned expression of duplicated genes during development and evolution of a single cell in a polyploid plant. Proceedings of the National Academy of Sciences. 105(16). 6191–6195. 117 indexed citations
11.
Doyle, Jeff J., Lex Flagel, Andrew H. Paterson, et al.. (2008). Evolutionary Genetics of Genome Merger and Doubling in Plants. Annual Review of Genetics. 42(1). 443–461. 512 indexed citations breakdown →
12.
Chaudhary, Bhupendra, Ran Hovav, Ryan A. Rapp, et al.. (2008). Global analysis of gene expression in cotton fibers from wild and domesticated Gossypium barbadense. Evolution & Development. 10(5). 567–582. 61 indexed citations
13.
Udall, Joshua A., Lex Flagel, Foo Cheung, et al.. (2007). Spotted cotton oligonucleotide microarrays for gene expression analysis. BMC Genomics. 8(1). 81–81. 38 indexed citations
14.
Hovav, Ran, Joshua A. Udall, Einat Hovav, et al.. (2007). A majority of cotton genes are expressed in single-celled fiber. Planta. 227(2). 319–329. 79 indexed citations
15.
Rapp, Ryan A. & Jonathan F. Wendel. (2005). Epigenetics and plant evolution. New Phytologist. 168(1). 81–91. 281 indexed citations
16.
Rapp, Ryan A., Inés Álvarez, & Jonathan F. Wendel. (2005). Molecular Confirmation of the Position of Gossypium trifurcatum Vollesen. Genetic Resources and Crop Evolution. 52(6). 749–753. 2 indexed citations
17.
Fouts, Derrick E., Jorge L. Badel, Adela R. Ramos, Ryan A. Rapp, & Alan Collmer. (2003). A Pseudomonas syringae pv. tomato DC3000 Hrp (Type III Secretion) Deletion Mutant Expressing the Hrp System of Bean Pathogen P. syringae pv. syringae 61 Retains Normal Host Specificity for Tomato. Molecular Plant-Microbe Interactions. 16(1). 43–52. 37 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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