Laurence Jacquot

57 total papers · 835 total citations
38 papers, 629 citations indexed

About

Laurence Jacquot is a scholar working on Sensory Systems, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Laurence Jacquot has authored 38 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Sensory Systems, 13 papers in Biomedical Engineering and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Laurence Jacquot's work include Olfactory and Sensory Function Studies (30 papers), Advanced Chemical Sensor Technologies (13 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Laurence Jacquot is often cited by papers focused on Olfactory and Sensory Function Studies (30 papers), Advanced Chemical Sensor Technologies (13 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Laurence Jacquot collaborates with scholars based in France, United States and Canada. Laurence Jacquot's co-authors include Gérard Brand, Julie Monnin, George A. Michael, Grégory Pourié, Jean‐Louis Millot, C.J. Sniffen, Janick Naveteur, Thierry Jo Molina, Adeline Guais and Sam Dukan and has published in prestigious journals such as Scientific Reports, Brain Research and Behavioural Brain Research.

In The Last Decade

Laurence Jacquot

37 papers receiving 608 citations

Author Peers

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

Author						Papers	Cites
Laurence Jacquot	328	135	130	125	110	38	629
Masahiro Tanida	234 0.7×	48 0.4×	181 1.4×	56 0.4×	48 0.4×	22	737
Marc Thévenet	435 1.3×	66 0.5×	174 1.3×	192 1.5×	217 2.0×	35	617
Teruhisa Komori	146 0.4×	52 0.4×	34 0.3×	52 0.4×	81 0.7×	33	599
Johanna Louise Reichert	147 0.4×	30 0.2×	114 0.9×	84 0.7×	51 0.5×	20	715
Linus Andersson	350 1.1×	46 0.3×	80 0.6×	49 0.4×	47 0.4×	34	750
Elizabeth B. Gardner	134 0.4×	77 0.6×	80 0.6×	155 1.2×	29 0.3×	17	604
Josiane Aı̈oun	250 0.8×	27 0.2×	127 1.0×	278 2.2×	177 1.6×	17	684
Margret Schleidt	297 0.9×	179 1.3×	109 0.8×	107 0.9×	44 0.4×	28	621
Behzad Iravani	205 0.6×	86 0.6×	115 0.9×	66 0.5×	69 0.6×	23	654
Keiko Arakawa	157 0.5×	281 2.1×	33 0.3×	48 0.4×	127 1.2×	29	728

Countries citing papers authored by Laurence Jacquot

Since Specialization

Citations

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

Fields of papers citing papers by Laurence Jacquot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Jacquot

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Jacquot. A scholar is included among the top collaborators of Laurence Jacquot 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 Laurence Jacquot. Laurence Jacquot 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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