Frédéric Danjon

2.8k total citations · 1 hit paper
35 papers, 2.1k citations indexed

About

Frédéric Danjon is a scholar working on Mechanical Engineering, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Frédéric Danjon has authored 35 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanical Engineering, 23 papers in Plant Science and 14 papers in Nature and Landscape Conservation. Recurrent topics in Frédéric Danjon's work include Tree Root and Stability Studies (31 papers), Plant Molecular Biology Research (10 papers) and Plant nutrient uptake and metabolism (10 papers). Frédéric Danjon is often cited by papers focused on Tree Root and Stability Studies (31 papers), Plant Molecular Biology Research (10 papers) and Plant nutrient uptake and metabolism (10 papers). Frédéric Danjon collaborates with scholars based in France, Morocco and Belgium. Frédéric Danjon's co-authors include Didier Bert, Bart Muys, Jean Poesen, Thierry Fourcaud, Bert Reubens, Guy Geudens, Bert Reubens, Alexia Stokes, Michael Drexhage and Pauline Dèfossez and has published in prestigious journals such as PLoS ONE, New Phytologist and Plant and Soil.

In The Last Decade

Frédéric Danjon

34 papers receiving 2.0k citations

Hit Papers

The role of fine and coarse roots in shallow slope stabil... 2007 2026 2013 2019 2007 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Danjon France 25 1.3k 918 672 618 485 35 2.1k
Bruce Nicoll United Kingdom 24 1.5k 1.2× 625 0.7× 997 1.5× 801 1.3× 252 0.5× 43 2.2k
Zhun Mao France 28 721 0.6× 598 0.7× 427 0.6× 573 0.9× 804 1.7× 55 2.1k
Bert Reubens Belgium 13 725 0.6× 524 0.6× 250 0.4× 278 0.4× 536 1.1× 16 1.5k
Massimiliano Schwarz Switzerland 27 1.9k 1.5× 576 0.6× 400 0.6× 550 0.9× 790 1.6× 57 2.5k
Thierry Fourcaud France 32 2.9k 2.3× 1.4k 1.5× 1.0k 1.6× 870 1.4× 783 1.6× 67 3.8k
Gian Battista Bischetti Italy 25 1.2k 0.9× 552 0.6× 272 0.4× 340 0.6× 741 1.5× 72 2.0k
M. P. Coutts United Kingdom 27 993 0.8× 999 1.1× 801 1.2× 514 0.8× 239 0.5× 45 1.9k
Filippo Giadrossich Italy 19 961 0.7× 303 0.3× 203 0.3× 309 0.5× 451 0.9× 46 1.4k
Enrico Antonio Chiaradia Italy 20 814 0.6× 402 0.4× 182 0.3× 282 0.5× 518 1.1× 45 1.4k
Murielle Ghestem France 8 591 0.5× 450 0.5× 240 0.4× 283 0.5× 618 1.3× 8 1.4k

Countries citing papers authored by Frédéric Danjon

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Danjon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Danjon

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Danjon. A scholar is included among the top collaborators of Frédéric Danjon 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 Frédéric Danjon. Frédéric Danjon 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.
Zhang, Xingyu, Jonathan Knappett, Anthony Kwan Leung, et al.. (2020). Small-scale modelling of root-soil interaction of trees under lateral loads. Plant and Soil. 456(1-2). 289–305. 26 indexed citations
2.
Dèfossez, Pauline, Guillaume Veylon, Ming Yang, et al.. (2020). Impact of soil water content on the overturning resistance of young Pinus Pinaster in sandy soil. Forest Ecology and Management. 480. 118614–118614. 25 indexed citations
4.
Meredieu, Céline, et al.. (2016). Anchorage failure of young trees in sandy soils is prevented by a rigid central part of the root system with various designs. Annals of Botany. 118(4). 747–762. 35 indexed citations
5.
Augusto, Laurent, David Achat, Mark R. Bakker, et al.. (2014). Biomass and nutrients in tree root systems–sustainable harvesting of an intensively managedPinus pinaster(Ait.) planted forest. GCB Bioenergy. 7(2). 231–243. 43 indexed citations
6.
Danjon, Frédéric, Joshua S. Caplan, Mathieu Fortin, & Céline Meredieu. (2013). Descendant root volume varies as a function of root type: estimation of root biomass lost during uprooting in Pinus pinaster. Frontiers in Plant Science. 4. 402–402. 23 indexed citations
7.
Valdés-Rodríguez, Ofelia Andrea, Odilón Sánchez Sánchez, Arturo Pérez‐Vázquez, Joshua S. Caplan, & Frédéric Danjon. (2013). Jatropha curcas L. Root Structure and Growth in Diverse Soils. The Scientific World JOURNAL. 2013(1). 827295–827295. 19 indexed citations
9.
Domergue, Frédéric, Céline Lalanne, Patricio Ramos, et al.. (2013). Soil water stress affects both cuticular wax content and cuticle-related gene expression in young saplings of maritime pine (Pinus pinaster Ait). BMC Plant Biology. 13(1). 95–95. 46 indexed citations
10.
Reubens, Bert, Frédéric Danjon, Maurice De Proft, et al.. (2009). The effect of mechanical stimulation on root and shoot development of young containerised Quercus robur and Robinia pseudoacacia trees. Trees. 23(6). 1213–1228. 25 indexed citations
11.
Tobin, Brian, Jan Čermák, Donato Chiatante, et al.. (2007). Towards developmental modelling of tree root systems. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 141(3). 481–501. 75 indexed citations
12.
Danjon, Frédéric, David Barker, Michael Drexhage, & Alexia Stokes. (2007). Using Three-dimensional Plant Root Architecture in Models of Shallow-slope Stability. Annals of Botany. 101(8). 1281–1293. 126 indexed citations
13.
Stokes, Alexia, et al.. (2007). Is it possible to manipulate root anchorage in young trees?. Plant and Soil. 295(1-2). 293–295. 10 indexed citations
15.
Danjon, Frédéric, et al.. (2006). Analysis of 3D structural root architecture data of trees grown on slopes. HAL (Le Centre pour la Communication Scientifique Directe).
16.
Danjon, Frédéric, Thierry Fourcaud, & Didier Bert. (2005). Root architecture and wind‐firmness of mature Pinus pinaster. New Phytologist. 168(2). 387–400. 162 indexed citations
17.
Dupuy, Lionel, Thierry Fourcaud, Alexia Stokes, & Frédéric Danjon. (2005). A density-based approach for the modelling of root architecture: application to Maritime pine (Pinus pinaster Ait.) root systems. Journal of Theoretical Biology. 236(3). 323–334. 38 indexed citations
18.
Stokes, Alexia, et al.. (2005). Influence of wind loading on root system development and architecture in oak (Quercus robur L.) seedlings.. Trees. 19(4). 374–384. 56 indexed citations
19.
Danjon, Frédéric. (1995). L'amelioration génétique et ses conséquences sur les modèles de croissance. Revue Forestière Française. 192–192. 2 indexed citations
20.
Danjon, Frédéric. (1994). Heritabilities and genetic correlations for estimated growth curve parameters in maritime pine. Theoretical and Applied Genetics. 89-89(7-8). 911–921. 38 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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