G. R. Ablett

1.2k total citations
36 papers, 922 citations indexed

About

G. R. Ablett is a scholar working on Plant Science, Pathology and Forensic Medicine and Agronomy and Crop Science. According to data from OpenAlex, G. R. Ablett has authored 36 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 8 papers in Pathology and Forensic Medicine and 8 papers in Agronomy and Crop Science. Recurrent topics in G. R. Ablett's work include Soybean genetics and cultivation (32 papers), Legume Nitrogen Fixing Symbiosis (14 papers) and Agronomic Practices and Intercropping Systems (8 papers). G. R. Ablett is often cited by papers focused on Soybean genetics and cultivation (32 papers), Legume Nitrogen Fixing Symbiosis (14 papers) and Agronomic Practices and Intercropping Systems (8 papers). G. R. Ablett collaborates with scholars based in Canada, United States and Germany. G. R. Ablett's co-authors include Istvan Rajcan, Vaino Poysa, K. Peter Pauls, J. W. Tanner, Yarmilla Reinprecht, Kangfu Yu, D. E. Falk, A. W. Schaafsma, Chung‐Ja C. Jackson and Terry Anderson and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Journal of the American Oil Chemists Society.

In The Last Decade

G. R. Ablett

35 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. R. Ablett Canada 16 842 186 154 125 101 36 922
Andrea J. Cardinal United States 16 613 0.7× 212 1.1× 40 0.3× 130 1.0× 134 1.3× 30 697
Helen Booker Canada 13 427 0.5× 44 0.2× 109 0.7× 95 0.8× 99 1.0× 35 535
My Abdelmajid Kassem United States 19 1.2k 1.4× 30 0.2× 143 0.9× 106 0.8× 94 0.9× 69 1.2k
Braulio J. Soto‐Cerda Chile 17 555 0.7× 24 0.1× 145 0.9× 93 0.7× 156 1.5× 32 656
Guo‐Liang Jiang United States 17 822 1.0× 32 0.2× 47 0.3× 60 0.5× 140 1.4× 35 894
Zhaoming Qi China 19 988 1.2× 56 0.3× 22 0.1× 205 1.6× 213 2.1× 74 1.1k
Fen-Xia Han China 9 364 0.4× 18 0.1× 143 0.9× 81 0.6× 93 0.9× 17 490
Vikender Kaur India 13 439 0.5× 13 0.1× 85 0.6× 77 0.6× 41 0.4× 50 497
Yongcai Lai China 11 875 1.0× 110 0.6× 13 0.1× 376 3.0× 160 1.6× 24 984
Maria Stefanie Dwiyanti Japan 12 369 0.4× 20 0.1× 24 0.2× 77 0.6× 143 1.4× 22 453

Countries citing papers authored by G. R. Ablett

Since Specialization
Citations

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

Fields of papers citing papers by G. R. Ablett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. R. Ablett

This figure shows the co-authorship network connecting the top 25 collaborators of G. R. Ablett. A scholar is included among the top collaborators of G. R. Ablett 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 G. R. Ablett. G. R. Ablett 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.
Eskandari, Milad, et al.. (2016). Candor Soybean. Canadian Journal of Plant Science. 1 indexed citations
2.
Reinprecht, Yarmilla, Kangfu Yu, Vaino Poysa, et al.. (2011). Molecular basis of seed lipoxygenase null traits in soybean line OX948. Theoretical and Applied Genetics. 122(7). 1247–1264. 14 indexed citations
3.
Boersma, J. G., et al.. (2011). Single Soybean Seed NMR Calibration for Oil Measurement Using Commercial Cooking Oils. Journal of the American Oil Chemists Society. 88(11). 1795–1798. 4 indexed citations
4.
Lee, Elizabeth A., L. Woodrow, Philippe Séguin, et al.. (2009). Genotype × Environment Interaction and Stability for Isoflavone Content in Soybean. Crop Science. 49(4). 1313–1321. 56 indexed citations
5.
Reinprecht, Yarmilla, Jamie Larsen, Vaino Poysa, et al.. (2009). Molecular basis of the low linolenic acid trait in soybean EMS mutant line RG10. Plant Breeding. 128(3). 253–258. 37 indexed citations
6.
Xue, Allen, Malcolm J. Morrison, Elroy R. Cober, et al.. (2007). Frequency of isolation of species ofDiaportheandPhomopsisfrom soybean plants in Ontario and benefits of seed treatments. Canadian Journal of Plant Pathology. 29(4). 354–364. 14 indexed citations
7.
Ablett, G. R., et al.. (2006). Environmental effects on fatty acid levels in soybean seed oil. Journal of the American Oil Chemists Society. 83(9). 759–763. 61 indexed citations
8.
Poysa, Vaino, et al.. (2006). Mapping QTL for Individual and Total Isoflavone Content in Soybean Seeds. Crop Science. 46(1). 495–496. 3 indexed citations
9.
Zhao, Guangwu, G. R. Ablett, Terry Anderson, Istvan Rajcan, & A. W. Schaafsma. (2005). Anastomosis groups of Rhizoctonia solani associated with soybean root and hypocotyl rot in Ontario and resistance of accession PI 442031 to different anastomosis groups. Canadian Journal of Plant Pathology. 27(1). 108–117. 13 indexed citations
10.
Zhao, Guangwu, G. R. Ablett, Terry Anderson, Istvan Rajcan, & A. W. Schaafsma. (2005). Inheritance and Genetic Mapping of Resistance to Rhizoctonia Root and Hypocotyl Rot in Soybean. Crop Science. 45(4). 1441–1447. 67 indexed citations
11.
Poysa, Vaino, et al.. (2005). Mapping QTL for Individual and Total Isoflavone Content in Soybean Seeds. Crop Science. 45(6). 2454–2464. 98 indexed citations
12.
Poysa, Vaino, et al.. (2005). Agronomic Performance of Recombinant Inbred Line Populations Segregating for Isoflavone Content in Soybean Seeds. Crop Science. 45(6). 2203–2211. 33 indexed citations
13.
Falk, D. E., et al.. (2002). Inheritance and Interaction of Low Palmitic and Low Linolenic Soybean. Crop Science. 42(1). 31–31. 15 indexed citations
14.
Falk, D. E., et al.. (2002). Genotype × Environment Interactions, Stability, and Agronomic Performance of Soybean with Altered Fatty Acid Profiles. Crop Science. 42(1). 37–37. 20 indexed citations
15.
Ablett, G. R., et al.. (1999). Westag 97 Soybean. Canadian Journal of Plant Science. 79(3). 371–372. 4 indexed citations
16.
Cober, Elroy R., G. R. Ablett, R. I. Buzzell, et al.. (1998). Imperfect Yellow Hilum Color in Soybean is Conditioned by II rr TT. Crop Science. 38(4). 940–941. 11 indexed citations
17.
Ablett, G. R., R. I. Buzzell, W. D. Beversdorf, & O. B. Allen. (1994). Comparative Stability of 40 Indeterminate and Semideterminate Soybean Lines. Crop Science. 34(2). 347–351. 5 indexed citations
18.
Schaafsma, A. W. & G. R. Ablett. (1994). Yield Loss Response of Navy Bean to Partial or Total Defoliation. jpa. 7(2). 202–205. 14 indexed citations
19.
Ablett, G. R. & A. W. Schaafsma. (1990). Effect of defoliation on yield, maturity and seed size of white beans.. Annual Report of the Bean Improvement Cooperative. Bean Improvement Cooperative. 33. 35–36. 1 indexed citations
20.
Ablett, G. R., et al.. (1984). EFFECT OF ROW WIDTH AND POPULATION ON SOYBEAN YIELD IN SOUTHWESTERN ONTARIO. Canadian Journal of Plant Science. 64(1). 9–15. 22 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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