Michel Beckert

536 total citations
11 papers, 400 citations indexed

About

Michel Beckert is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Michel Beckert has authored 11 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Plant Science and 4 papers in Biotechnology. Recurrent topics in Michel Beckert's work include Plant tissue culture and regeneration (6 papers), Plant Gene Expression Analysis (2 papers) and Wheat and Barley Genetics and Pathology (2 papers). Michel Beckert is often cited by papers focused on Plant tissue culture and regeneration (6 papers), Plant Gene Expression Analysis (2 papers) and Wheat and Barley Genetics and Pathology (2 papers). Michel Beckert collaborates with scholars based in France, United States and Morocco. Michel Beckert's co-authors include Magalie Pichon, Philippe Vergne, Jacqueline Grima‐Pettenati, Alain-M Boudet, Isabelle Nadaud, Alain‐Michel Boudet, Isabelle Mila, Pere Puigdomènech, Joël Piquemal and C. Digonnet and has published in prestigious journals such as PLANT PHYSIOLOGY, Plant Molecular Biology and Journal of Molecular Evolution.

In The Last Decade

Michel Beckert

10 papers receiving 378 citations

Peers

Michel Beckert

MB

PS

BE

BIOTE

ACS

Qiaoyan Tian China

Tui Ray United States

Katarzyna Rataj United Kingdom

Kazuya Nanto Japan

E. Carmona Cuba

G. C. Ghosh Biswas Switzerland

Tammy Gries United States

John Baier United States

P. Hagberg Sweden

Yoshinori Tajima Japan

Qiaoyan Tian China

Michel Beckert

476 ×1.5

MB

404 ×1.5

PS

99 ×0.8

BE

65 ×0.9

BIOTE

26 ×0.9

ACS

Citations per year, relative to Michel Beckert Michel Beckert (= 1×) peers Qiaoyan Tian

Countries citing papers authored by Michel Beckert

Since Specialization

Citations

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

Fields of papers citing papers by Michel Beckert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Beckert

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Colonna, Paul, et al.. (2019). Nouvelles questions de recherche en bioéconomie. Natures Sciences Sociétés. 27(4). 433–437.

2.

Chantret, Nathalie, Jérôme Salse, François Sabot, et al.. (2008). Contrasted Microcolinearity and Gene Evolution Within a Homoeologous Region of Wheat and Barley Species. Journal of Molecular Evolution. 66(2). 138–150. 11 indexed citations

3.

Ravel, Catherine, Sébastien Praud, Aurélie Canaguier, et al.. (2006). DNA sequence polymorphisms and their application to bread wheat quality. Euphytica. 158(3). 331–336. 15 indexed citations

4.

Partier, Anne, et al.. (2005). Enhancement of maize transformation efficiency by the use of maize matrix attachment regions. Plant Cell Tissue and Organ Culture (PCTOC). 80(3). 295–303. 2 indexed citations

5.

Partier, Anne, et al.. (2004). Heritable transgene expression pattern imposed onto maize ubiquitin promoter by maize adh-1 matrix attachment regions: tissue and developmental specificity in maize transgenic plants. Plant Cell Reports. 22(12). 931–8. 13 indexed citations

6.

Borderies, Gisèle, Mickael Le Béchec, Michel Rossignol, et al.. (2004). Characterization of proteins secreted during maize microspore culture: arabinogalactan proteins (AGPs) stimulate embryo development. European Journal of Cell Biology. 83(5). 205–212. 63 indexed citations

7.

Piquemal, Joël, Isabelle Nadaud, Michel Beckert, et al.. (2002). Down-Regulation of Caffeic Acid O-Methyltransferase in Maize Revisited Using a Transgenic Approach. PLANT PHYSIOLOGY. 130(4). 1675–1685. 141 indexed citations

8.

Pichon, Magalie, et al.. (1998). Cloning and characterization of two maize cDNAs encoding Cinnamoyl-CoA Reductase (CCR) and differential expression of the corresponding genes. Plant Molecular Biology. 38(4). 671–676. 77 indexed citations

9.

Beckert, Michel, et al.. (1997). Spontaneous versus colchicine-induced chromosome doubling in maize anther culture. Plant Cell Tissue and Organ Culture (PCTOC). 48(3). 203–207. 17 indexed citations

10.

Vergne, Philippe, et al.. (1991). Optimization of maize microspore isolation and culture conditions for reliable plant regeneration. Plant Cell Reports. 10(2). 55–8. 59 indexed citations

11.

Beckert, Michel. (1982). Rôle du scutellum dans l'obtention de plantes néoformées in vitro chez le maïs. Agronomie. 2(7). 611–615. 2 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.

Explore authors with similar magnitude of impact