Axel Diederichsen

2.4k total citations
56 papers, 1.7k citations indexed

About

Axel Diederichsen is a scholar working on Plant Science, Pathology and Forensic Medicine and Agronomy and Crop Science. According to data from OpenAlex, Axel Diederichsen has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Plant Science, 15 papers in Pathology and Forensic Medicine and 9 papers in Agronomy and Crop Science. Recurrent topics in Axel Diederichsen's work include Soybean genetics and cultivation (18 papers), Phytoestrogen effects and research (15 papers) and Genetic and Environmental Crop Studies (10 papers). Axel Diederichsen is often cited by papers focused on Soybean genetics and cultivation (18 papers), Phytoestrogen effects and research (15 papers) and Genetic and Environmental Crop Studies (10 papers). Axel Diederichsen collaborates with scholars based in Canada, Germany and United Kingdom. Axel Diederichsen's co-authors include Yong‐Bi Fu, K. Hammer, J. P. Raney, Gregory W. Peterson, Braulio J. Soto‐Cerda, Sylvie Cloutier, K. W. Richards, Scott Duguid, Zaheer Ahmed and G. G. Rowland and has published in prestigious journals such as Scientific Reports, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

Axel Diederichsen

54 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Axel Diederichsen Canada 25 1.3k 330 288 272 192 56 1.7k
Zhongwei Zou Canada 23 923 0.7× 231 0.7× 115 0.4× 803 3.0× 109 0.6× 54 1.5k
Vineet Kumar India 20 1.1k 0.8× 301 0.9× 41 0.1× 252 0.9× 308 1.6× 147 1.6k
Narendra Y. Kadoo India 23 1.1k 0.8× 51 0.2× 217 0.8× 397 1.5× 91 0.5× 58 1.4k
Judith Fregeau-reid Canada 23 1.3k 0.9× 104 0.3× 294 1.0× 101 0.4× 160 0.8× 58 1.6k
Jong‐Wook Chung South Korea 26 1.4k 1.0× 57 0.2× 502 1.7× 610 2.2× 287 1.5× 141 1.9k
Kyung‐Ho Ma South Korea 23 1.3k 1.0× 62 0.2× 505 1.8× 454 1.7× 262 1.4× 115 1.8k
G. G. Rowland Canada 21 1.1k 0.9× 251 0.8× 193 0.7× 363 1.3× 62 0.3× 68 1.4k
Istvan Rajcan Canada 34 3.7k 2.7× 339 1.0× 790 2.7× 576 2.1× 154 0.8× 128 4.1k
Tapan Kumar Mondal India 24 1.3k 1.0× 142 0.4× 204 0.7× 668 2.5× 92 0.5× 70 1.7k
Shengrui Liu China 24 828 0.6× 383 1.2× 171 0.6× 701 2.6× 219 1.1× 56 1.5k

Countries citing papers authored by Axel Diederichsen

Since Specialization
Citations

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

Fields of papers citing papers by Axel Diederichsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Axel Diederichsen

This figure shows the co-authorship network connecting the top 25 collaborators of Axel Diederichsen. A scholar is included among the top collaborators of Axel Diederichsen 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 Axel Diederichsen. Axel Diederichsen 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.
2.
Ngapo, T.M., Yves Arcand, Marie Thérèse Charles, et al.. (2021). Historical Indigenous Food Preparation Using Produce of the Three Sisters Intercropping System. Foods. 10(3). 524–524. 22 indexed citations
3.
Young, Lester, et al.. (2020). Comparative analysis of cadmium uptake and distribution in contrasting canadian flax cultivars. BMC Research Notes. 13(1). 424–424. 1 indexed citations
4.
Koh, ChuShin, Sateesh Kagale, Zhenling Lv, et al.. (2020). Assessing Diversity in theCamelinaGenus Provides Insights into the Genome Structure ofCamelina sativa. G3 Genes Genomes Genetics. 10(4). 1297–1308. 39 indexed citations
5.
Bothmer, Roland von, Guro Brodal, Axel Diederichsen, et al.. (2019). 40 Years of Nordic Collaboration in Plant Genetic Resources. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
6.
Gutaker, Rafał M., Maricris Zaidem, Yong‐Bi Fu, et al.. (2019). Flax latitudinal adaptation at LuTFL1 altered architecture and promoted fiber production. Scientific Reports. 9(1). 976–976. 17 indexed citations
7.
Rozhmina, Tatiana A., et al.. (2017). Research of Genetic Polymorphism Species Linumu sitatissimum L. on a Basis a RAPD-Method. Journal of Natural Fibers. 15(2). 155–161. 6 indexed citations
8.
Yang, Chao, et al.. (2017). Evaluation of growth and nitrogen fixation of pea nodulation mutants in western Canada. Canadian Journal of Plant Science. 9 indexed citations
9.
Yan, Honghai, Wubishet A. Bekele, Charlene P. Wight, et al.. (2016). High-density marker profiling confirms ancestral genomes of Avena species and identifies D-genome chromosomes of hexaploid oat. Theoretical and Applied Genetics. 129(11). 2133–2149. 49 indexed citations
10.
Fu, Yong‐Bi, Zaheer Ahmed, & Axel Diederichsen. (2015). Towards a better monitoring of seed ageing underex situseed conservation. Conservation Physiology. 3(1). cov026–cov026. 94 indexed citations
11.
Soto‐Cerda, Braulio J., Axel Diederichsen, Scott Duguid, et al.. (2014). The potential of pale flax as a source of useful genetic variation for cultivated flax revealed through molecular diversity and association analyses. Molecular Breeding. 34(4). 2091–2107. 12 indexed citations
12.
Soto‐Cerda, Braulio J., Scott Duguid, Helen Booker, et al.. (2013). Genomic regions underlying agronomic traits in linseed (Linum usitatissimum L.) as revealed by association mapping. Journal of Integrative Plant Biology. 56(1). 75–87. 42 indexed citations
13.
Soto‐Cerda, Braulio J., Axel Diederichsen, Raja Ragupathy, & Sylvie Cloutier. (2013). Genetic characterization of a core collection of flax (Linum usitatissimum L.) suitable for association mapping studies and evidence of divergent selection between fiber and linseed types. BMC Plant Biology. 13(1). 78–78. 82 indexed citations
14.
Fu, Yong‐Bi, et al.. (2010). Genetic diversity of cultivated flax (Linum usitatissimum L.) and its wild progenitor pale flax (Linum bienne Mill.) as revealed by ISSR markers. Genetic Resources and Crop Evolution. 57(7). 1109–1119. 64 indexed citations
15.
16.
Diederichsen, Axel, et al.. (2007). Collecting plant genetic resources in the eastern Carpathian Mountains within the territory of Ukraine in 2005. Dialnet (Universidad de la Rioja). 14–21. 1 indexed citations
17.
Diederichsen, Axel, J. P. Raney, & Scott Duguid. (2006). Variation of Mucilage in Flax Seed and Its Relationship with Other Seed Characters. Crop Science. 46(1). 365–371. 51 indexed citations
18.
Peterson, Glenn W., et al.. (2003). RAPD analysis of genetic variability of regenerated seeds in the Canadian flax cultivar CDC Normandy. Seed Science and Technology. 31(1). 207–211. 10 indexed citations
19.
Hammer, Karl, et al.. (1999). Weeds as Part of Agrobiodiversity. Outlook on Agriculture. 28(4). 227–232. 22 indexed citations
20.
Hammer, Katherine A., et al.. (1997). Weeds as genetic resources.. 33–39. 12 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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