Jean Beaulieu

1.1k total citations
9 papers, 800 citations indexed

About

Jean Beaulieu is a scholar working on Genetics, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Jean Beaulieu has authored 9 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Atmospheric Science and 3 papers in Nature and Landscape Conservation. Recurrent topics in Jean Beaulieu's work include Genetic diversity and population structure (4 papers), Geology and Paleoclimatology Research (3 papers) and Pleistocene-Era Hominins and Archaeology (2 papers). Jean Beaulieu is often cited by papers focused on Genetic diversity and population structure (4 papers), Geology and Paleoclimatology Research (3 papers) and Pleistocene-Era Hominins and Archaeology (2 papers). Jean Beaulieu collaborates with scholars based in Canada, France and United Kingdom. Jean Beaulieu's co-authors include Maurice Reille, Jean Bousquet, Simon Brewer, Rachid Cheddadi, Juan Pablo Jaramillo‐Correa, Damase P. Khasa, Julie Godbout, Francine Tremblay, J. John Lowe and Valérie Andrieu‐Ponel and has published in prestigious journals such as Molecular Ecology, Forest Ecology and Management and Molecular Therapy.

In The Last Decade

Jean Beaulieu

9 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Beaulieu Canada 8 358 236 202 193 184 9 800
Unai López de Heredia Spain 15 305 0.9× 149 0.6× 210 1.0× 213 1.1× 327 1.8× 45 924
Guillaume de Lafontaine Canada 15 260 0.7× 248 1.1× 102 0.5× 125 0.6× 82 0.4× 42 703
María Valbuena‐Carabaña Spain 18 152 0.4× 247 1.0× 55 0.3× 142 0.7× 273 1.5× 32 861
Eric G. DeChaine United States 18 388 1.1× 55 0.2× 203 1.0× 341 1.8× 164 0.9× 23 1.1k
Gerardo Cladera Argentina 15 82 0.2× 92 0.4× 138 0.7× 409 2.1× 61 0.3× 19 918
Sylvain Gerber France 17 135 0.4× 96 0.4× 136 0.7× 286 1.5× 75 0.4× 32 972
Andrey Yu. Gladenkov Russia 8 152 0.4× 237 1.0× 129 0.6× 160 0.8× 67 0.4× 27 706
B. P. J. Molloy New Zealand 15 42 0.1× 252 1.1× 149 0.7× 380 2.0× 355 1.9× 53 934
Allison Perrigo Sweden 8 136 0.4× 84 0.4× 141 0.7× 281 1.5× 77 0.4× 18 707
L.G. Bezusko Ukraine 7 92 0.3× 342 1.4× 46 0.2× 125 0.6× 118 0.6× 26 566

Countries citing papers authored by Jean Beaulieu

Since Specialization
Citations

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

Fields of papers citing papers by Jean Beaulieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Beaulieu

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

All Works

9 of 9 papers shown
1.
Mackay, John, Brian Boyle, Walid El Kayal, et al.. (2011). Gene mapping in white spruce (P. glauca): QTL and association studies integrating population and expression data. BMC Proceedings. 5(S7). 2 indexed citations
2.
Bousquet, Jean, et al.. (2010). TreeSNPs: a laboratory information management system (LIMS) dedicated to SNP discovery in trees. Tree Genetics & Genomes. 6(3). 435–438. 7 indexed citations
3.
Jaramillo‐Correa, Juan Pablo, Jean Beaulieu, Damase P. Khasa, & Jean Bousquet. (2009). Inferring the past from the present phylogeographic structure of North American forest trees: seeing the forest for the genes. Canadian Journal of Forest Research. 39(2). 286–307. 117 indexed citations
5.
Godbout, Julie, Juan Pablo Jaramillo‐Correa, Jean Beaulieu, & Jean Bousquet. (2005). A mitochondrial DNA minisatellite reveals the postglacial history of jack pine (Pinus banksiana), a broad‐range North American conifer. Molecular Ecology. 14(11). 3497–3512. 112 indexed citations
6.
Quenneville, Simon, Pierre Chapdelaine, Joël Rousseau, et al.. (2004). Nucleofection of muscle-derived stem cells and myoblasts with ϕC31 integrase: stable expression of a full-length-dystrophin fusion gene by human myoblasts. Molecular Therapy. 10(4). 679–687. 58 indexed citations
7.
Brewer, Simon, Rachid Cheddadi, Jean Beaulieu, & Maurice Reille. (2002). The spread of deciduous Quercus throughout Europe since the last glacial period. Forest Ecology and Management. 156(1-3). 27–48. 289 indexed citations
8.
Beaulieu, Jean, Valérie Andrieu‐Ponel, Philippe Ponel, Maurice Reille, & J. John Lowe. (1994). The Weichselian Late‐glacial in southwestern Europe (Iberian Peninsula, Pyrenees, Massif Central, northern Apennines). Journal of Quaternary Science. 9(2). 101–107. 62 indexed citations
9.
Guiot, Joël, Maurice Reille, Jean Beaulieu, & A. Pons. (1992). Calibration of the climatic signal in a new pollen sequence from La Grande Pile. Climate Dynamics. 6(3-4). 259–264. 34 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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