Pascale Lieben

31 total papers · 553 total citations
18 papers, 399 citations indexed

About

Pascale Lieben is a scholar working on Food Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Pascale Lieben has authored 18 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Food Science, 6 papers in Molecular Biology and 5 papers in Nutrition and Dietetics. Recurrent topics in Pascale Lieben's work include Probiotics and Fermented Foods (6 papers), Fermentation and Sensory Analysis (5 papers) and Bee Products Chemical Analysis (2 papers). Pascale Lieben is often cited by papers focused on Probiotics and Fermented Foods (6 papers), Fermentation and Sensory Analysis (5 papers) and Bee Products Chemical Analysis (2 papers). Pascale Lieben collaborates with scholars based in France, Morocco and Portugal. Pascale Lieben's co-authors include Fernanda Fonseca, Caroline Pénicaud, Sophie Landaud, Daniel Picque, Marielle Bouix, Stéphanie Cenard, Stéphanie Passot, Hervé Guillemin, Pascal Bonnarme and Anne Saint‐Eve and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Chemosphere.

In The Last Decade

Pascale Lieben

17 papers receiving 395 citations

Author Peers

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

Author						Papers	Cites
Pascale Lieben	222	148	91	75	56	18	399
A. Babuchowski	220 1.0×	148 1.0×	102 1.1×	53 0.7×	50 0.9×	24	403
Akash Pare	226 1.0×	68 0.5×	104 1.1×	38 0.5×	43 0.8×	23	385
L.R. Correia	175 0.8×	114 0.8×	53 0.6×	89 1.2×	50 0.9×	17	424
Iva Čanak	147 0.7×	92 0.6×	43 0.5×	38 0.5×	38 0.7×	21	404
S. Shioya	129 0.6×	236 1.6×	73 0.8×	105 1.4×	45 0.8×	19	435
Gabriela Vollet Marson	184 0.8×	185 1.3×	46 0.5×	84 1.1×	53 0.9×	17	444
Susu Zhang	111 0.5×	145 1.0×	55 0.6×	94 1.3×	80 1.4×	23	413
W. A. Wan Nadiah	137 0.6×	131 0.9×	86 0.9×	69 0.9×	19 0.3×	19	383
Marcello Alinovi	309 1.4×	139 0.9×	92 1.0×	39 0.5×	49 0.9×	33	437
Huaning Yu	196 0.9×	104 0.7×	48 0.5×	109 1.5×	70 1.3×	14	411

Countries citing papers authored by Pascale Lieben

Since Specialization

Citations

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

Fields of papers citing papers by Pascale Lieben

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascale Lieben

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