Edward J. Ryder

8.4k total citations
115 papers, 2.1k citations indexed

About

Edward J. Ryder is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Edward J. Ryder has authored 115 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Plant Science, 50 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Edward J. Ryder's work include Plant Virus Research Studies (17 papers), Plant Physiology and Cultivation Studies (14 papers) and CRISPR and Genetic Engineering (11 papers). Edward J. Ryder is often cited by papers focused on Plant Virus Research Studies (17 papers), Plant Physiology and Cultivation Studies (14 papers) and CRISPR and Genetic Engineering (11 papers). Edward J. Ryder collaborates with scholars based in United States, United Kingdom and France. Edward J. Ryder's co-authors include David J. Adams, Ryan J. Hayes, Beiquan Mou, M. M. Binns, S. T. Koike, N. G. Holmes, Louise van der Weyden, Rebecca C. Grube, Nuno A. Fonseca and Gozde Kar and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Edward J. Ryder

108 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward J. Ryder United States 22 1.0k 828 416 263 122 115 2.1k
Yuhua Zhang China 22 1.3k 1.3× 1.5k 1.8× 301 0.7× 293 1.1× 67 0.5× 51 2.9k
Peter John Pakistan 30 1.4k 1.4× 994 1.2× 220 0.5× 493 1.9× 66 0.5× 139 2.6k
Valeria Mancino United States 12 1.8k 1.7× 611 0.7× 693 1.7× 177 0.7× 123 1.0× 19 2.7k
Renae L. Malek United States 19 1.6k 1.6× 762 0.9× 313 0.8× 213 0.8× 125 1.0× 28 2.5k
John F. Jackson Australia 31 1.2k 1.2× 793 1.0× 342 0.8× 112 0.4× 78 0.6× 131 2.8k
Xiahe Huang China 27 1.5k 1.4× 1.4k 1.7× 201 0.5× 219 0.8× 141 1.2× 91 2.5k
Luc Négroni France 25 1.3k 1.3× 902 1.1× 108 0.3× 180 0.7× 95 0.8× 49 2.3k
Tobias Lamkemeyer Germany 30 1.2k 1.2× 513 0.6× 306 0.7× 281 1.1× 136 1.1× 51 2.4k
Enrique Blanco Spain 26 1.9k 1.9× 434 0.5× 391 0.9× 183 0.7× 51 0.4× 55 2.4k
Fredrik Sterky Sweden 25 2.0k 2.0× 1.2k 1.4× 277 0.7× 181 0.7× 177 1.5× 43 3.0k

Countries citing papers authored by Edward J. Ryder

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Ryder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward J. Ryder. 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 Edward J. Ryder. The network helps show where Edward J. Ryder may publish in the future.

Co-authorship network of co-authors of Edward J. Ryder

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Ryder. A scholar is included among the top collaborators of Edward J. Ryder 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 Edward J. Ryder. Edward J. Ryder 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.
Stewart, Graham R., et al.. (2024). Detection of transgenes in equine dried blood spots using digital PCR and qPCR for gene doping control. Drug Testing and Analysis. 17(5). 626–633. 2 indexed citations
2.
Ryder, Edward J., et al.. (2024). Administration and detection of a multi-target rAAV gene doping vector in horses using multiple matrices and molecular techniques. Gene Therapy. 31(9-10). 477–488. 4 indexed citations
3.
Stewart, Graham R., et al.. (2023). Detection of adeno‐associated viral DNA in equine post‐administration frozen blood and plasma samples after long‐term storage. Drug Testing and Analysis. 16(5). 498–503. 1 indexed citations
4.
Huggett, Jim F., et al.. (2021). Screening for gene doping transgenes in horses via the use of massively parallel sequencing. Gene Therapy. 29(5). 236–246. 20 indexed citations
5.
Mahata, Bidesh, Jhuma Pramanik, Louise van der Weyden, et al.. (2020). Tumors induce de novo steroid biosynthesis in T cells to evade immunity. Nature Communications. 11(1). 3588–3588. 265 indexed citations
6.
O’Connell, Amy E., Maxim V. Gerashchenko, Marie-Françoise O’Donohue, et al.. (2019). Mammalian Hbs1L deficiency causes congenital anomalies and developmental delay associated with Pelota depletion and 80S monosome accumulation. PLoS Genetics. 15(2). e1007917–e1007917. 16 indexed citations
7.
Clare, Simon, Mark J. Arends, Emma L. Cambridge, et al.. (2019). FBXO7 sensitivity of phenotypic traits elucidated by a hypomorphic allele. PLoS ONE. 14(3). e0212481–e0212481. 6 indexed citations
8.
Belle, Jad I., et al.. (2015). Deubiquitinase MYSM1 Is Essential for Normal Fetal Liver Hematopoiesis and for the Maintenance of Hematopoietic Stem Cells in Adult Bone Marrow. Stem Cells and Development. 24(16). 1865–1877. 19 indexed citations
9.
Rival, Thomas, Richard Page, Edward J. Ryder, et al.. (2009). Fenton chemistry and oxidative stress mediate the toxicity of the β‐amyloid peptide in a Drosophila model of Alzheimer’s disease. European Journal of Neuroscience. 29(7). 1335–1347. 144 indexed citations
10.
Edwards, Carol A., Andrew J. Mungall, Lucy Matthews, et al.. (2008). The evolution of an imprinted domain in mammals. Genetics Research. 90(3). 3 indexed citations
11.
Bull, Carolee T., et al.. (2007). Genetic Diversity of Lettuce for Resistance to Bacterial Leaf Spot Caused by Xanthomonas campestris pv. vitians. Plant Health Progress. 8(1). 21 indexed citations
12.
McCreight, James D. & Edward J. Ryder. (2004). A proceedings of the XXVI International Horticultural Congress : advances in vegetable breeding : Toronto, Canada, 11-17 August 2002. 1 indexed citations
13.
Holmes, N. G., et al.. (1998). A PCR based diagnostic test for fucosidosis in English Springer Spaniels. The Veterinary Journal. 155(2). 113–114. 1 indexed citations
14.
Holmes, N. G., et al.. (1996). Von Wille‐brand's disease in UK dober‐manns: Possible correlation of a polymorphic DNA marker with disease status. Journal of Small Animal Practice. 37(7). 307–308. 4 indexed citations
15.
Ryder, Edward J.. (1992). Lettuce Genetics: Inheritance, Linkage, and Epistasis. Journal of the American Society for Horticultural Science. 117(3). 504–507. 3 indexed citations
16.
Ryder, Edward J.. (1989). Studies of Three New Genes, Linkage, and Epistasis in Lettuce. Journal of the American Society for Horticultural Science. 114(1). 129–133. 1 indexed citations
17.
Ryder, Edward J.. (1985). Use of early flowering genes to reduce generation time in backcrossing with specific application to lettuce lactuca sativa breeding. Journal of the American Society for Horticultural Science. 110(4). 570–573. 5 indexed citations
18.
Ryder, Edward J.. (1965). inheritance of five leaf characters in lettuce (Lactuca sativa L.). Journal of the American Society for Horticultural Science. 2 indexed citations
19.
Ryder, Edward J.. (1964). Transmission of common lettuce mosaic virus through the gametes of the lettuce plant.. ˜The œPlant disease reporter. 48. 8 indexed citations
20.
Ryder, Edward J., et al.. (1961). Descriptions and Pedigrees of Nine Varieties of Lettuce. Technical Bulletins. 2 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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