Peter E. Eckstein

781 total citations
18 papers, 456 citations indexed

About

Peter E. Eckstein is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Peter E. Eckstein has authored 18 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Peter E. Eckstein's work include Wheat and Barley Genetics and Pathology (15 papers), Plant Disease Resistance and Genetics (11 papers) and Plant pathogens and resistance mechanisms (5 papers). Peter E. Eckstein is often cited by papers focused on Wheat and Barley Genetics and Pathology (15 papers), Plant Disease Resistance and Genetics (11 papers) and Plant pathogens and resistance mechanisms (5 papers). Peter E. Eckstein collaborates with scholars based in Canada, United States and Germany. Peter E. Eckstein's co-authors include G. J. Scoles, James M. MacPherson, B. G. Rossnagel, Aaron D. Beattie, Curt A. McCartney, Belaghihalli N. Gnanesh, J. Chong, G. A. Penner, Jennifer W. Mitchell Fetch and W. G. Legge and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Phytopathology.

In The Last Decade

Peter E. Eckstein

16 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter E. Eckstein Canada 12 353 128 104 34 29 18 456
Yuko Mizukami Japan 12 536 1.5× 72 0.6× 337 3.2× 71 2.1× 47 1.6× 24 789
Amy Bush United States 4 168 0.5× 84 0.7× 131 1.3× 36 1.1× 50 1.7× 9 339
Chiara Beltramo Italy 10 172 0.5× 59 0.5× 90 0.9× 21 0.6× 20 0.7× 33 337
Kay Scheets United States 14 771 2.2× 82 0.6× 244 2.3× 13 0.4× 64 2.2× 23 894
N. Yonash Israel 13 171 0.5× 285 2.2× 91 0.9× 11 0.3× 13 0.4× 19 550
Laurival A. Vilas-Bôas Brazil 10 159 0.5× 34 0.3× 156 1.5× 43 1.3× 24 0.8× 31 358
Srividya Ramakrishnan United States 4 319 0.9× 120 0.9× 296 2.8× 39 1.1× 52 1.8× 7 530
Yao Peng China 9 177 0.5× 166 1.3× 167 1.6× 8 0.2× 28 1.0× 26 424
Y. Eitan Israel 11 131 0.4× 126 1.0× 138 1.3× 14 0.4× 46 1.6× 21 496
Michio Kanbe Japan 9 358 1.0× 20 0.2× 284 2.7× 44 1.3× 44 1.5× 25 606

Countries citing papers authored by Peter E. Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by Peter E. Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. Eckstein. 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 Peter E. Eckstein. The network helps show where Peter E. Eckstein may publish in the future.

Co-authorship network of co-authors of Peter E. Eckstein

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

All Works

18 of 18 papers shown
1.
Abo‐Elyousr, Kamal A. M., Amira M. I. Mourad, P. Stephen Baenziger, et al.. (2022). Identification of Putative SNP Markers Associated with Resistance to Egyptian Loose Smut Race(s) in Spring Barley. Genes. 13(6). 1075–1075. 6 indexed citations
2.
3.
Eckstein, Peter E., et al.. (2018). Evaluation of Galium species and populations using morphological characters and molecular markers. Weed Research. 59(1). 28–38. 4 indexed citations
4.
Eckstein, Peter E., Axel Himmelbach, Sebastian Beier, et al.. (2015). Fine mapping and identification of a candidate gene for the barley Un8 true loose smut resistance gene. Theoretical and Applied Genetics. 128(7). 1343–1357. 10 indexed citations
5.
Gnanesh, Belaghihalli N., Curt A. McCartney, Peter E. Eckstein, et al.. (2014). Genetic analysis and molecular mapping of a seedling crown rust resistance gene in oat. Theoretical and Applied Genetics. 128(2). 247–258. 22 indexed citations
6.
Gnanesh, Belaghihalli N., J. Chong, Gang Chen, et al.. (2014). A major quantitative trait locus conferring adult plant partial resistance to crown rust in oat. BMC Plant Biology. 14(1). 250–250. 32 indexed citations
7.
Gnanesh, Belaghihalli N., J. Mitchell Fetch, J. G. Menzies, et al.. (2013). Chromosome location and allele-specific PCR markers for marker-assisted selection of the oat crown rust resistance gene Pc91. Molecular Breeding. 32(3). 679–686. 26 indexed citations
8.
Tanhuanpää, Pirjo, Outi Manninen, Aaron D. Beattie, et al.. (2012). An updated doubled haploid oat linkage map and QTL mapping of agronomic and grain quality traits from Canadian field trials. Genome. 55(4). 289–301. 26 indexed citations
9.
McCartney, Curt A., Robert Stonehouse, B. G. Rossnagel, et al.. (2010). Mapping of the oat crown rust resistance gene Pc91. Theoretical and Applied Genetics. 122(2). 317–325. 46 indexed citations
10.
Eckstein, Peter E., et al.. (2007). Molecular marker development and linkage analysis in three low phytic acid barley (Hordeum vulgare) mutant lines. Molecular Breeding. 20(4). 323–330. 20 indexed citations
11.
Scoles, G. J. & Peter E. Eckstein. (2004). The applications of biotechnology to disease resistance breeding in oat. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations
12.
Li, Chengdao, Peter Langridge, Peter E. Eckstein, et al.. (2002). Mapping of Barley (Hordeum vulgare L.) Beta -amylase Alleles in which an Amino Acid Substitution Determines Beta -amylase Isoenzyme Type and the Level of Free Beta -amylase. Journal of Cereal Science. 35(1). 39–50. 27 indexed citations
13.
Eckstein, Peter E., et al.. (2002). Development of PCR-based markers for a gene (Un8) conferring true loose smut resistance in barley. Canadian Journal of Plant Pathology. 24(1). 46–53. 11 indexed citations
14.
Li, Chengdao, et al.. (2001). Targeted development of a microsatellite marker associated with a true loose smut resistance gene in barley (Hordeum vulgare L.). Molecular Breeding. 8(3). 235–242. 5 indexed citations
15.
Igartua, Ernesto, M. J. Edney, B. G. Rossnagel, et al.. (2000). Marker‐Based Selection of QTL Affecting Grain and Malt Quality in Two‐Row Barley. Crop Science. 40(5). 1426–1433. 33 indexed citations
16.
Spaner, Dean, B. G. Rossnagel, W. G. Legge, et al.. (1999). Verifications of a Quantitative Trait Locus Affecting Agronomic Traits in Two‐Row Barley. Crop Science. 39(1). 248–252. 22 indexed citations
17.
Penner, G. A., A. Tekauz, G. J. Scoles, et al.. (1995). The genetic basis of scald resistance in western Canadian barley cultivars. Euphytica. 92(3). 367–374. 20 indexed citations
18.
MacPherson, James M., et al.. (1993). Variability of the random amplified polymorphic DNA assay among thermal cyclers, and effects of primer and DNA concentration. Molecular and Cellular Probes. 7(4). 293–299. 145 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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