Tyson Koepke

2.5k total citations
11 papers, 247 citations indexed

About

Tyson Koepke is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Tyson Koepke has authored 11 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Tyson Koepke's work include Plant Gene Expression Analysis (4 papers), Plant Pathogens and Fungal Diseases (3 papers) and Horticultural and Viticultural Research (3 papers). Tyson Koepke is often cited by papers focused on Plant Gene Expression Analysis (4 papers), Plant Pathogens and Fungal Diseases (3 papers) and Horticultural and Viticultural Research (3 papers). Tyson Koepke collaborates with scholars based in United States, Chile and Spain. Tyson Koepke's co-authors include Amit Dhingra, Nnadozie Oraguzie, Carolina Font i Forcada, Á. Fernández i Martí, Scott Schaeffer, Matthew D. Whiting, Derick Jiwan, Seanna Hewitt, Benjamin Kilian and Vandhana Krishnan and has published in prestigious journals such as PLoS ONE, Frontiers in Plant Science and BMC Genomics.

In The Last Decade

Tyson Koepke

10 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyson Koepke United States 8 191 114 46 29 22 11 247
Véronique Jamilloux France 7 335 1.8× 282 2.5× 23 0.5× 69 2.4× 8 0.4× 12 440
Nicole L. Nuckolls United States 4 77 0.4× 135 1.2× 25 0.5× 62 2.1× 10 0.5× 5 174
Elly Poretsky United States 6 264 1.4× 150 1.3× 15 0.3× 12 0.4× 14 0.6× 13 356
Richard Rabideau Childers United States 5 125 0.7× 27 0.2× 74 1.6× 16 0.6× 25 1.1× 7 171
Kira M. Veley United States 13 476 2.5× 364 3.2× 17 0.4× 28 1.0× 9 0.4× 15 595
Timothée Chaumier France 3 130 0.7× 149 1.3× 16 0.3× 37 1.3× 2 0.1× 6 211
Yuping Gou China 12 181 0.9× 107 0.9× 37 0.8× 22 0.8× 21 1.0× 26 280
Caroline Broyart Switzerland 9 352 1.8× 228 2.0× 8 0.2× 11 0.4× 15 0.7× 11 416
Stefano Piazza Italy 10 294 1.5× 211 1.9× 62 1.3× 9 0.3× 2 0.1× 18 357
Amandine Velt France 11 153 0.8× 91 0.8× 16 0.3× 38 1.3× 13 0.6× 16 242

Countries citing papers authored by Tyson Koepke

Since Specialization
Citations

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

Fields of papers citing papers by Tyson Koepke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyson Koepke. 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 Tyson Koepke. The network helps show where Tyson Koepke may publish in the future.

Co-authorship network of co-authors of Tyson Koepke

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

All Works

11 of 11 papers shown
1.
Koepke, Tyson, Rishikesh Ghogare‬, Nnadozie Oraguzie, et al.. (2022). Draft genome data of Prunus avium cv ‘Stella’. Data in Brief. 45. 108611–108611.
3.
Hewitt, Seanna, et al.. (2017). Evaluation of multiple approaches to identify genome-wide polymorphisms in closely related genotypes of sweet cherry (Prunus avium L.). Computational and Structural Biotechnology Journal. 15. 290–298. 9 indexed citations
4.
Strand, Deserah D., Aaron K. Livingston, Mio Satoh-Cruz, et al.. (2017). Defects in the Expression of Chloroplast Proteins Leads to H2O2 Accumulation and Activation of Cyclic Electron Flow around Photosystem I. Frontiers in Plant Science. 7. 2073–2073. 21 indexed citations
5.
Koepke, Tyson, John Grimes, Marco Galli, et al.. (2016). CisSERS: Customizable In Silico Sequence Evaluation for Restriction Sites. PLoS ONE. 11(4). e0152404–e0152404. 5 indexed citations
6.
Koepke, Tyson, Scott Schaeffer, F. Dicenta, et al.. (2013). Comparative genomics analysis in Prunoideae to identify biologically relevant polymorphisms. Plant Biotechnology Journal. 11(7). 883–893. 14 indexed citations
7.
Koepke, Tyson & Amit Dhingra. (2013). Rootstock scion somatogenetic interactions in perennial composite plants. Plant Cell Reports. 32(9). 1321–1337. 102 indexed citations
8.
Koepke, Tyson, Scott Schaeffer, Vandhana Krishnan, et al.. (2012). Rapid gene-based SNP and haplotype marker development in non-model eukaryotes using 3'UTR sequencing. BMC Genomics. 13(1). 18–18. 23 indexed citations
9.
Martí, Á. Fernández i, et al.. (2012). Genetic Diversity and Relatedness of Sweet Cherry (Prunus Avium L.) Cultivars Based on Single Nucleotide Polymorphic Markers. Frontiers in Plant Science. 3. 116–116. 40 indexed citations
10.
Trainotti, Livio, Stefano Cagnin, Claudio Forcato, et al.. (2012). Functional Genomics: Transcriptomics. Universidad de Chile. 292–322. 4 indexed citations
11.
Garczynski, Stephen F., Brad S. Coates, Thomas R. Unruh, et al.. (2012). Application of Cydia pomonella expressed sequence tags: Identification and expression of three general odorant binding proteins in codling moth. Insect Science. 20(5). 559–574. 17 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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