Daniel Rivard

597 total citations
9 papers, 453 citations indexed

About

Daniel Rivard is a scholar working on Molecular Biology, Biotechnology and Plant Science. According to data from OpenAlex, Daniel Rivard has authored 9 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Biotechnology and 7 papers in Plant Science. Recurrent topics in Daniel Rivard's work include Transgenic Plants and Applications (5 papers), Genetically Modified Organisms Research (3 papers) and Plant tissue culture and regeneration (3 papers). Daniel Rivard is often cited by papers focused on Transgenic Plants and Applications (5 papers), Genetically Modified Organisms Research (3 papers) and Plant tissue culture and regeneration (3 papers). Daniel Rivard collaborates with scholars based in Canada, Italy and South Africa. Daniel Rivard's co-authors include Dominique Michaud, Charles Goulet, Meriem Benchabane, Véronique Gomord, Loı̈c Faye, Conrad Cloutier, Cécile Girard, Andrew Kiggundu, K. Kunert and Sonia Trépanier and has published in prestigious journals such as New Phytologist, The Plant Journal and PROTEOMICS.

In The Last Decade

Daniel Rivard

9 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Rivard Canada	9	367	322	182	72	65	9	453
Meriem Benchabane Canada	11	618 1.7×	484 1.5×	331 1.8×	116 1.6×	88 1.4×	14	760
Stefano Marchetti Italy	11	280 0.8×	89 0.3×	159 0.9×	39 0.5×	57 0.9×	24	362
Andreas Schiermeyer Germany	18	605 1.6×	383 1.2×	346 1.9×	86 1.2×	23 0.4×	29	769
Milan Osusky Canada	11	345 0.9×	178 0.6×	172 0.9×	41 0.6×	29 0.4×	17	500
Jean‐Marc Ferullo France	7	408 1.1×	258 0.8×	198 1.1×	66 0.9×	18 0.3×	10	499
Penny Hundleby United Kingdom	11	368 1.0×	212 0.7×	229 1.3×	41 0.6×	23 0.4×	20	455
Wim G. Dirkse Netherlands	10	515 1.4×	180 0.6×	431 2.4×	55 0.8×	68 1.0×	13	665
Jyoti Kapila Belgium	7	639 1.7×	462 1.4×	469 2.6×	115 1.6×	17 0.3×	8	814
Sruthy Maria Augustine India	8	285 0.8×	114 0.4×	304 1.7×	31 0.4×	12 0.2×	12	481
Elke Fouquaert Belgium	12	286 0.8×	70 0.2×	180 1.0×	126 1.8×	17 0.3×	14	380

Countries citing papers authored by Daniel Rivard

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Rivard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rivard

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

All Works

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9 of 9 papers shown

Rivard, Daniel, et al.. (2009). Unintended molecular interactions in transgenic plants expressing clinically useful proteins: The case of bovine aprotinin traveling the potato leaf cell secretory pathway. PROTEOMICS. 9(3). 746–756. 29 indexed citations

Benchabane, Meriem, Daniel Rivard, Cécile Girard, & Dominique Michaud. (2009). Companion Protease Inhibitors to Protect Recombinant Proteins in Transgenic Plant Extracts. Methods in molecular biology. 265–273. 13 indexed citations

Rivard, Daniel, et al.. (2008). A SELDI‐TOF MS procedure for the detection, quantitation, and preliminary characterization of low‐molecular‐weight recombinant proteins expressed in transgenic plants. PROTEOMICS. 9(2). 233–241. 22 indexed citations

Benchabane, Meriem, Charles Goulet, Daniel Rivard, et al.. (2008). Preventing unintended proteolysis in plant protein biofactories. Plant Biotechnology Journal. 6(7). 633–648. 175 indexed citations

Girard, Cécile, Daniel Rivard, Andrew Kiggundu, et al.. (2007). A multicomponent, elicitor‐inducible cystatin complex in tomato, Solanum lycopersicum. New Phytologist. 173(4). 841–851. 52 indexed citations

Rivard, Daniel, Cécile Girard, Raphaël Anguenot, et al.. (2007). MsCYS1, a developmentally-regulated cystatin from alfalfa. Plant Physiology and Biochemistry. 45(6-7). 508–514. 15 indexed citations

Rivard, Daniel, et al.. (2006). An in‐built proteinase inhibitor system for the protection of recombinant proteins recovered from transgenic plants. Plant Biotechnology Journal. 4(3). 359–368. 59 indexed citations

Kiggundu, Andrew, Marie‐Claire Goulet, Charles Goulet, et al.. (2006). Modulating the proteinase inhibitory profile of a plant cystatin by single mutations at positively selected amino acid sites. The Plant Journal. 48(3). 403–413. 43 indexed citations

Rivard, Daniel, Conrad Cloutier, & Dominique Michaud. (2004). Colorado potato beetles show differential digestive compensatory responses to host plants expressing distinct sets of defense proteins. Archives of Insect Biochemistry and Physiology. 55(3). 114–123. 45 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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