Patricia Viard

18 total papers · 645 total citations
13 papers, 559 citations indexed

About

Patricia Viard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Patricia Viard has authored 13 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Patricia Viard's work include Ion channel regulation and function (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Reproductive Biology and Fertility (4 papers). Patricia Viard is often cited by papers focused on Ion channel regulation and function (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Reproductive Biology and Fertility (4 papers). Patricia Viard collaborates with scholars based in France, United Kingdom and Germany. Patricia Viard's co-authors include Bernd Nürnberg, Guillaume Halet, Jean Mironneau, Nathalie Macrez, Annette Dolphin, Adrian J. Butcher, Fay Heblich, Anthony Davies, Jean‐Luc Morel and Torsten Exner and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and Development.

In The Last Decade

Patricia Viard

13 papers receiving 553 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Patricia Viard	450	165	141	95	63	13	559
Jonathan Neumann	445 1.0×	70 0.4×	96 0.7×	54 0.6×	53 0.8×	14	649
Anju A. Roy	545 1.2×	146 0.9×	87 0.6×	46 0.5×	59 0.9×	8	636
Manveen K. Gupta	331 0.7×	121 0.7×	107 0.8×	90 0.9×	28 0.4×	22	593
Madeleine Poyard	356 0.8×	188 1.1×	80 0.6×	149 1.6×	25 0.4×	12	627
Mickaël Derangeon	513 1.1×	142 0.9×	88 0.6×	65 0.7×	39 0.6×	16	699
Francesco Boato	176 0.4×	185 1.1×	65 0.5×	49 0.5×	40 0.6×	13	545
Peichun Gui	411 0.9×	151 0.9×	137 1.0×	165 1.7×	107 1.7×	21	641
Yan‐Ning Qiao	358 0.8×	92 0.6×	108 0.8×	103 1.1×	118 1.9×	22	625
Paul Brandt	410 0.9×	176 1.1×	46 0.3×	86 0.9×	59 0.9×	22	620
Dagoberto Grenet	516 1.1×	174 1.1×	112 0.8×	53 0.6×	63 1.0×	11	605

Countries citing papers authored by Patricia Viard

Since Specialization

Citations

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

Fields of papers citing papers by Patricia Viard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Viard

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

All Works

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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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