Eric R. Coppoolse

521 total citations
8 papers, 369 citations indexed

About

Eric R. Coppoolse is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Eric R. Coppoolse has authored 8 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Eric R. Coppoolse's work include Chromosomal and Genetic Variations (3 papers), Plant tissue culture and regeneration (3 papers) and Genomics and Phylogenetic Studies (3 papers). Eric R. Coppoolse is often cited by papers focused on Chromosomal and Genetic Variations (3 papers), Plant tissue culture and regeneration (3 papers) and Genomics and Phylogenetic Studies (3 papers). Eric R. Coppoolse collaborates with scholars based in Netherlands, United States and United Kingdom. Eric R. Coppoolse's co-authors include Willem J. Stiekema, M. J. J. van Haaren, Jean‐Frédéric Dubern, Guido V. Bloemberg, Fergal O’Gara, H. John J. Nijkamp, Dick Roelofs, John P. Morrissey, E. Fidelma Boyd and R. Weide and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Bacteriology and The Plant Journal.

In The Last Decade

Eric R. Coppoolse

8 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric R. Coppoolse Netherlands 8 257 206 54 30 27 8 369
A. Jabrane Belgium 4 212 0.8× 131 0.6× 28 0.5× 26 0.9× 41 1.5× 5 314
Janet Condie Canada 8 243 0.9× 241 1.2× 21 0.4× 74 2.5× 11 0.4× 9 377
Thierry Liboz France 10 376 1.5× 290 1.4× 42 0.8× 17 0.6× 20 0.7× 14 480
Nancy Podevin Belgium 9 342 1.3× 416 2.0× 91 1.7× 56 1.9× 12 0.4× 13 512
João P. Bezerra-Neto Brazil 10 240 0.9× 183 0.9× 22 0.4× 13 0.4× 18 0.7× 17 362
Richard E. Cuellar United States 7 277 1.1× 233 1.1× 29 0.5× 37 1.2× 14 0.5× 8 387
Christian Montes United States 13 353 1.4× 279 1.4× 20 0.4× 17 0.6× 13 0.5× 27 453
Yanqing Sun China 6 203 0.8× 202 1.0× 18 0.3× 72 2.4× 15 0.6× 10 325
Artemis Giannakopoulou Greece 7 201 0.8× 74 0.4× 39 0.7× 12 0.4× 26 1.0× 9 282
Jana Čechová Czechia 11 275 1.1× 171 0.8× 17 0.3× 23 0.8× 36 1.3× 41 406

Countries citing papers authored by Eric R. Coppoolse

Since Specialization
Citations

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

Fields of papers citing papers by Eric R. Coppoolse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric R. Coppoolse. 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 Eric R. Coppoolse. The network helps show where Eric R. Coppoolse may publish in the future.

Co-authorship network of co-authors of Eric R. Coppoolse

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

All Works

8 of 8 papers shown
1.
Huo, Heqiang, Isabelle Henry, Eric R. Coppoolse, et al.. (2016). Rapid identification of lettuce seed germination mutants by bulked segregant analysis and whole genome sequencing. The Plant Journal. 88(3). 345–360. 35 indexed citations
2.
Redondo‐Nieto, Miguel, Matthieu Barret, Joanne M. Morrisey, et al.. (2012). Genome Sequence of the Biocontrol Strain Pseudomonas fluorescens F113. Journal of Bacteriology. 194(5). 1273–1274. 58 indexed citations
3.
Morrissey, John P., et al.. (2009). Evolutionary History of the phl Gene Cluster in the Plant-Associated Bacterium Pseudomonas fluorescens. Applied and Environmental Microbiology. 75(7). 2122–2131. 45 indexed citations
4.
Dubern, Jean‐Frédéric, Eric R. Coppoolse, Willem J. Stiekema, & Guido V. Bloemberg. (2008). Genetic and functional characterization of the gene cluster directing the biosynthesis of putisolvin I and II in Pseudomonas putida strain PCL1445. Microbiology. 154(7). 2070–2083. 46 indexed citations
5.
Coppoolse, Eric R., et al.. (2005). Size Does Matter: Cre-mediated Somatic Deletion Efficiency Depends on the Distance Between the Target lox-Sites. Plant Molecular Biology. 58(5). 687–698. 21 indexed citations
6.
Bakker, Erin, Ute Achenbach, J. Bakker, et al.. (2004). A high-resolution map of the H1 locus harbouring resistance to the potato cyst nematode Globodera rostochiensis. Theoretical and Applied Genetics. 109(1). 146–152. 63 indexed citations
7.
Coppoolse, Eric R., et al.. (2003). Cre recombinase expression can result in phenotypic aberrations in plants. Plant Molecular Biology. 51(2). 263–279. 76 indexed citations
8.
Wordragen, Monique F. van, R. Weide, Eric R. Coppoolse, P. Zabel, & Maarten Koornneef. (1996). Tomato chromosome 6: a high resolution map of the long arm and construction of a composite integrated marker-order map. Theoretical and Applied Genetics. 92(8). 1065–1072. 25 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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