Jean‐François Laliberté

5.2k total citations
68 papers, 4.0k citations indexed

About

Jean‐François Laliberté is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Jean‐François Laliberté has authored 68 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Plant Science, 12 papers in Endocrinology and 11 papers in Molecular Biology. Recurrent topics in Jean‐François Laliberté's work include Plant Virus Research Studies (46 papers), Plant and Fungal Interactions Research (12 papers) and Viral Infections and Immunology Research (11 papers). Jean‐François Laliberté is often cited by papers focused on Plant Virus Research Studies (46 papers), Plant and Fungal Interactions Research (12 papers) and Viral Infections and Immunology Research (11 papers). Jean‐François Laliberté collaborates with scholars based in Canada, United States and France. Jean‐François Laliberté's co-authors include Marc Fortin, Huanquan Zheng, Chantal Beauchemin, Jun Jiang, Hélène Sanfaçon, Romain Grangeon, Juan Wan, Vern B. Carruthers, Simon Léonard and Olivier Nicolas and has published in prestigious journals such as The Journal of Cell Biology, Nature Biotechnology and The Plant Cell.

In The Last Decade

Jean‐François Laliberté

66 papers receiving 3.9k 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‐François Laliberté Canada 36 3.2k 1.3k 838 410 339 68 4.0k
Kazuyuki Mise Japan 33 2.5k 0.8× 1.2k 0.9× 651 0.8× 382 0.9× 327 1.0× 98 3.4k
Jeanmarie Verchot United States 36 3.2k 1.0× 1.0k 0.8× 832 1.0× 422 1.0× 639 1.9× 86 3.7k
Marcel Prins Netherlands 33 2.8k 0.9× 1.4k 1.1× 611 0.7× 686 1.7× 585 1.7× 65 3.5k
Sergey Y. Morozov Russia 30 2.8k 0.9× 696 0.5× 845 1.0× 301 0.7× 427 1.3× 116 3.0k
Toshihiro Omura Japan 34 3.1k 1.0× 946 0.7× 693 0.8× 891 2.2× 366 1.1× 130 3.5k
Malla Padidam United States 16 1.8k 0.5× 729 0.6× 485 0.6× 436 1.1× 184 0.5× 21 2.5k
Sunil Kumar Mukherjee India 34 2.3k 0.7× 2.0k 1.5× 341 0.4× 486 1.2× 163 0.5× 124 4.0k
Rui Lu United States 17 2.3k 0.7× 1.2k 0.9× 479 0.6× 512 1.2× 232 0.7× 25 3.1k
Xianbing Wang China 30 2.7k 0.9× 948 0.7× 686 0.8× 608 1.5× 262 0.8× 79 3.1k
R. H. A. Coutts United Kingdom 36 3.8k 1.2× 977 0.7× 2.0k 2.4× 552 1.3× 431 1.3× 180 4.2k

Countries citing papers authored by Jean‐François Laliberté

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐François Laliberté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐François Laliberté

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐François Laliberté. A scholar is included among the top collaborators of Jean‐François Laliberté 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‐François Laliberté. Jean‐François Laliberté 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.
Plourde, Mélodie B., Karen Cristine Gonçalves dos Santos, Xiaoqiang Huang, et al.. (2021). The Fungal Effector Mlp37347 Alters Plasmodesmata Fluxes and Enhances Susceptibility to Pathogen. Microorganisms. 9(6). 1232–1232. 12 indexed citations
2.
Laliberté, Jean‐François, et al.. (2021). Translationally controlled tumour protein: A protein necessary for potyvirus intracellular multiplication that supports plant infection by unrelated viruses. Annals of Applied Biology. 180(1). 90–98. 3 indexed citations
3.
Wan, Juan, et al.. (2019). Turnip Mosaic Virus Components Are Released into the Extracellular Space by Vesicles in Infected Leaves. PLANT PHYSIOLOGY. 180(3). 1375–1388. 109 indexed citations
4.
Jiang, Jun, et al.. (2018). Turnip Mosaic Virus Uses the SNARE Protein VTI11 in an Unconventional Route for Replication Vesicle Trafficking. The Plant Cell. 30(10). 2594–2615. 55 indexed citations
5.
Vali, Hojatollah, et al.. (2018). A Host ER Fusogen Is Recruited by Turnip Mosaic Virus for Maturation of Viral Replication Vesicles. PLANT PHYSIOLOGY. 179(2). 507–518. 30 indexed citations
6.
Vali, Hojatollah, et al.. (2017). Cylindrical Inclusion Protein of Turnip Mosaic Virus Serves as a Docking Point for the Intercellular Movement of Viral Replication Vesicles. PLANT PHYSIOLOGY. 175(4). 1732–1744. 38 indexed citations
7.
Wan, Juan, et al.. (2015). Turnip mosaic virus Moves Systemically through Both Phloem and Xylem as Membrane-Associated Complexes. PLANT PHYSIOLOGY. 167(4). 1374–1388. 74 indexed citations
8.
Grangeon, Romain, Jun Jiang, & Jean‐François Laliberté. (2012). Host endomembrane recruitment for plant RNA virus replication. Current Opinion in Virology. 2(6). 683–690. 35 indexed citations
9.
Grangeon, Romain, Sophie Cotton, & Jean‐François Laliberté. (2010). A model for the biogenesis of Turnip mosaic virus replication factories. Communicative & Integrative Biology. 3(4). 363–365. 13 indexed citations
10.
Bourges, Jean‐Louis, Jean‐François Laliberté, Miguel Chagnon, et al.. (2009). Average 3-Dimensional Models for the Comparison of Orbscan II and Pentacam Pachymetry Maps in Normal Corneas. Ophthalmology. 116(11). 2064–2071. 47 indexed citations
11.
Thivierge, Karine, Sophie Cotton, Philippe J. Dufresne, et al.. (2008). Eukaryotic elongation factor 1A interacts with Turnip mosaic virus RNA-dependent RNA polymerase and VPg-Pro in virus-induced vesicles. Virology. 377(1). 216–225. 115 indexed citations
12.
Dufresne, Philippe J., Karine Thivierge, Sophie Cotton, et al.. (2008). Heat shock 70 protein interaction with Turnip mosaic virus RNA-dependent RNA polymerase within virus-induced membrane vesicles. Virology. 374(1). 217–227. 107 indexed citations
13.
Mohammadi, Mahmood, et al.. (2006). Expression of bacterial biphenyl‐chlorobiphenyl dioxygenase genes in tobacco plants. Biotechnology and Bioengineering. 97(3). 496–505. 31 indexed citations
14.
Laliberté, Jean‐François, et al.. (2006). Topographic screening of donor eyes for previous refractive surgery. Journal of Cataract & Refractive Surgery. 32(2). 309–317. 7 indexed citations
15.
Laliberté, Jean‐François, et al.. (2004). 3D Numerical Atlases of Human Cornea. Investigative Ophthalmology & Visual Science. 45(13). 2855–2855.
16.
Lamarre, Alain, et al.. (1998). Identification of a 37 kDa plant protein that interacts with the turnip mosaic potyvirus capsid protein using anti-idiotypic-antibodies. Plant Molecular Biology. 37(2). 197–204. 19 indexed citations
19.
Laliberté, Jean‐François, et al.. (1992). Release of a 22-kDa protein derived from the amino-terminal domain of the 49-kDa NIa of turnip mosaic potyvirus in Escherichia coli. Virology. 190(1). 510–514. 26 indexed citations
20.
Carp, Richard I., et al.. (1963). Effect of Cold Passage on Reproductive Capacity at Various Temperatures of Several Type 3 Poliovirus Strains.. Experimental Biology and Medicine. 112(1). 247–251.

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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