Agnès Bonnet

1.0k total citations
57 papers, 720 citations indexed

About

Agnès Bonnet is a scholar working on Clinical Psychology, Molecular Biology and Genetics. According to data from OpenAlex, Agnès Bonnet has authored 57 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Clinical Psychology, 13 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Agnès Bonnet's work include Psychoanalysis and Psychopathology Research (11 papers), Psychosomatic Disorders and Their Treatments (10 papers) and Reproductive Biology and Fertility (8 papers). Agnès Bonnet is often cited by papers focused on Psychoanalysis and Psychopathology Research (11 papers), Psychosomatic Disorders and Their Treatments (10 papers) and Reproductive Biology and Fertility (8 papers). Agnès Bonnet collaborates with scholars based in France, Morocco and United States. Agnès Bonnet's co-authors include Vincent Bréjard, Jean-Louis Pédinielli, Gwenola Tosser‐Klopp, Philippe Mulsant, Béatrice Mandon‐Pepin, François Hatey, Magali SanCristobal, Julien Sarry, Laurence Liaubet and Christèle Robert-Granié and has published in prestigious journals such as PLoS ONE, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Agnès Bonnet

54 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agnès Bonnet France 17 239 200 156 107 87 57 720
Philip Hurst United Kingdom 21 134 0.6× 324 1.6× 212 1.4× 70 0.7× 191 2.2× 84 1.3k
Shona M. Kerr United Kingdom 21 380 1.6× 60 0.3× 383 2.5× 24 0.2× 49 0.6× 38 1.1k
Becky Marquez United States 22 254 1.1× 900 4.5× 173 1.1× 118 1.1× 635 7.3× 54 1.7k
Anna Ziomkiewicz Poland 16 72 0.3× 239 1.2× 95 0.6× 247 2.3× 119 1.4× 41 1.1k
José Bermúdez Mexico 19 193 0.8× 153 0.8× 66 0.4× 156 1.5× 307 3.5× 56 931
Aïda Cancel United States 15 70 0.3× 162 0.8× 61 0.4× 94 0.9× 180 2.1× 25 620
Kazuhide Ogita Japan 14 135 0.6× 161 0.8× 75 0.5× 90 0.8× 139 1.6× 37 858
Zachary P. Johnson United States 13 302 1.3× 70 0.3× 117 0.8× 55 0.5× 16 0.2× 23 964
Ka Man Leung Hong Kong 12 192 0.8× 76 0.4× 51 0.3× 58 0.5× 98 1.1× 38 650
N. W. Bruce Australia 21 115 0.5× 256 1.3× 162 1.0× 30 0.3× 254 2.9× 87 1.3k

Countries citing papers authored by Agnès Bonnet

Since Specialization
Citations

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

Fields of papers citing papers by Agnès Bonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnès Bonnet

This figure shows the co-authorship network connecting the top 25 collaborators of Agnès Bonnet. A scholar is included among the top collaborators of Agnès Bonnet 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 Agnès Bonnet. Agnès Bonnet 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.
Maman, Sarah, et al.. (2024). RNA-seq data of pig placenta and endometrium during late gestation. Data in Brief. 57. 111178–111178.
2.
Liaubet, Laurence, Gaëlle Lefort, Yvon Billon, et al.. (2023). Plasma 1H-NMR metabolic and amino acid profiles of newborn piglets from two lines divergently selected for residual feed intake. Scientific Reports. 13(1). 7127–7127. 4 indexed citations
3.
4.
Chapuis, Hervé, et al.. (2022). Maternal dietary methionine restriction alters the expression of energy metabolism genes in the duckling liver. BMC Genomics. 23(1). 407–407. 3 indexed citations
5.
Masoudi, Ali Akbar, et al.. (2021). Application of Metabolomics to Identify Hepatic Biomarkers of Foie Gras Qualities in Duck. Frontiers in Physiology. 12. 694809–694809. 3 indexed citations
6.
Masoudi, Ali Akbar, et al.. (2021). Identification of Plasmatic Biomarkers of Foie Gras Qualities in Duck by Metabolomics. Frontiers in Physiology. 12. 628264–628264. 4 indexed citations
7.
Bonnet, Agnès, et al.. (2015). L’approche non médicamenteuse de la personne âgée atteinte de maladie d’Alzheimer et apparentées. Psychothérapies. Vol. 35(3). 151–158. 1 indexed citations
8.
Bonnet, Agnès, Bertrand Servin, Philippe Mulsant, & Béatrice Mandon‐Pepin. (2015). Spatio-Temporal Gene Expression Profiling during In Vivo Early Ovarian Folliculogenesis: Integrated Transcriptomic Study and Molecular Signature of Early Follicular Growth. PLoS ONE. 10(11). e0141482–e0141482. 31 indexed citations
9.
Bonnet, Agnès, Cédric Cabau, Olivier Bouchez, et al.. (2013). An overview of gene expression dynamics during early ovarian folliculogenesis: specificity of follicular compartments and bi-directional dialog. BMC Genomics. 14(1). 904–904. 58 indexed citations
10.
Bréjard, Vincent, Agnès Bonnet, & Jean-Louis Pédinielli. (2011). Rôle du tempérament et de la conscience émotionnelle dans la prise de risque chez des adolescents. L Encéphale. 38(1). 1–9. 27 indexed citations
11.
Bonnet, Agnès, Claudia Bevilacqua, Loýs Bodin, et al.. (2011). Transcriptome profiling of sheep granulosa cells and oocytes during early follicular development obtained by Laser Capture Microdissection. BMC Genomics. 12(1). 417–417. 52 indexed citations
12.
Pédinielli, Jean-Louis & Agnès Bonnet. (2009). Apport de la psychanalyse à la question de l'Addiction. Psychotropes. Vol. 14(3). 41–54. 17 indexed citations
13.
14.
Bonnet, Agnès, Rozenn Dalbiès‐Tran, & Marc‐André Sirard. (2008). Opportunities and challenges in applying genomics to the study of oogenesis and folliculogenesis in farm animals. Reproduction. 135(2). 119–128. 30 indexed citations
15.
Bonnet, Agnès, Nathalie Iannuccelli, Karine Hugot, et al.. (2008). A pig multi-tissue normalised cDNA library: large-scale sequencing, cluster analysis and 9K micro-array resource generation. BMC Genomics. 9(1). 17–17. 24 indexed citations
16.
Tosser‐Klopp, Gwenola, et al.. (2008). A pilot study on transcriptome data analysis of folliculogenesis in pigs. animal. 3(3). 393–401. 1 indexed citations
17.
Ferré, Pierre, Laurence Liaubet, Didier Concordet, et al.. (2007). Longitudinal Analysis of Gene Expression in Porcine Skeletal Muscle After Post-Injection Local Injury. Pharmaceutical Research. 24(8). 1480–1489. 28 indexed citations
18.
Tosser‐Klopp, Gwenola, Agnès Bonnet, M. Yerle, & François Hatey. (2001). Functional study and regional mapping of 44 hormono-regulated genes isolated from a porcine granulosa cell library. Genetics Selection Evolution. 33(1). 69–87. 8 indexed citations
19.
Mulsant, Philippe, et al.. (1998). Characterization of FSH‐regulated genes isolated by mRNA differential display from pig ovarian granulosa cells. Animal Genetics. 29(2). 98–106. 17 indexed citations
20.
Tosser‐Klopp, Gwenola, et al.. (1997). A first catalog of genes involved in pig ovarian follicular differentiation. Mammalian Genome. 8(4). 250–254. 26 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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