Caroline Fonta

1.9k total citations
58 papers, 1.5k citations indexed

About

Caroline Fonta is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Caroline Fonta has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Caroline Fonta's work include Alkaline Phosphatase Research Studies (14 papers), Heterotopic Ossification and Related Conditions (8 papers) and Insect and Arachnid Ecology and Behavior (8 papers). Caroline Fonta is often cited by papers focused on Alkaline Phosphatase Research Studies (14 papers), Heterotopic Ossification and Related Conditions (8 papers) and Insect and Arachnid Ecology and Behavior (8 papers). Caroline Fonta collaborates with scholars based in France, Hungary and United States. Caroline Fonta's co-authors include C. Masson, Franck Plouraboué, Xuejun Sun, László Négyessy, Peter Cloetens, Laurent Risser, Romain Guibert, M. Imbert, Alexandre Steyer and Pascal Barone and has published in prestigious journals such as PLoS ONE, NeuroImage and The Journal of Comparative Neurology.

In The Last Decade

Caroline Fonta

58 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Fonta France 21 361 338 272 231 230 58 1.5k
Charlie S. Thompson Canada 28 548 1.5× 1.1k 3.1× 107 0.4× 65 0.3× 172 0.7× 45 2.4k
Shirley H. Wray United States 24 273 0.8× 351 1.0× 77 0.3× 147 0.6× 92 0.4× 56 1.9k
A Porte France 25 540 1.5× 602 1.8× 163 0.6× 32 0.1× 158 0.7× 119 1.9k
Eiji Watanabe Japan 27 559 1.5× 929 2.7× 88 0.3× 41 0.2× 162 0.7× 93 2.3k
E. Scott Graham New Zealand 31 660 1.8× 987 2.9× 72 0.3× 60 0.3× 154 0.7× 104 2.8k
Stephanie Halford United Kingdom 32 577 1.6× 2.0k 5.9× 274 1.0× 153 0.7× 893 3.9× 75 3.3k
Matti Anniko Sweden 33 189 0.5× 932 2.8× 190 0.7× 134 0.6× 86 0.4× 252 4.3k
Tsuyoshi Watanabe Japan 26 282 0.8× 664 2.0× 130 0.5× 29 0.1× 148 0.6× 108 2.6k
Y. Sano Japan 30 1.3k 3.5× 780 2.3× 158 0.6× 54 0.2× 65 0.3× 110 3.0k
F.P.J. Diecke United States 20 364 1.0× 458 1.4× 32 0.1× 93 0.4× 102 0.4× 50 1.2k

Countries citing papers authored by Caroline Fonta

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Fonta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Fonta

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Fonta. A scholar is included among the top collaborators of Caroline Fonta 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 Caroline Fonta. Caroline Fonta 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.
Sèze, René de, et al.. (2020). Repeated exposure to nanosecond high power pulsed microwaves increases cancer incidence in rat. PLoS ONE. 15(4). e0226858–e0226858. 8 indexed citations
2.
Rosas‐Arellano, Abraham, et al.. (2019). Loss of ferritin‐positive microglia relates to increased iron, RNA oxidation, and dystrophic microglia in the brains of aged male marmosets. American Journal of Primatology. 81(2). e22956–e22956. 30 indexed citations
3.
Schoor, Albert van, J. Hoffman, Anna C. Oettlé, et al.. (2019). Sulcal pattern variation in extant human endocasts. SPIRE - Sciences Po Institutional REpository. 13 indexed citations
4.
Fonta, Caroline, et al.. (2018). Key periods of cognitive decline in a nonhuman primate model of cognitive aging, the common marmoset (Callithrix jacchus). Neurobiology of Aging. 74. 1–14. 36 indexed citations
5.
Fonta, Caroline. (2016). Nanofibrils to Track Phosphatase Activity on Live Cells. Chem. 1(2). 184–186. 2 indexed citations
6.
Fonta, Caroline, et al.. (2015). Rediscovering TNAP in the Brain: A Major Role in Regulating the Function and Development of the Cerebral Cortex. Sub-cellular biochemistry. 76. 85–106. 20 indexed citations
7.
Négyessy, László, et al.. (2015). Signal Transduction Pathways of TNAP: Molecular Network Analyses. Sub-cellular biochemistry. 76. 185–205. 1 indexed citations
8.
Strelnikov, Kuzma, et al.. (2015). Cognitive impairment in a young marmoset reveals lateral ventriculomegaly and a mild hippocampal atrophy: a case report. Scientific Reports. 5(1). 16046–16046. 14 indexed citations
9.
Salabert, Anne‐Sophie, et al.. (2015). Radiolabeling of [18F]-fluoroethylnormemantine and initial in vivo evaluation of this innovative PET tracer for imaging the PCP sites of NMDA receptors. Nuclear Medicine and Biology. 42(8). 643–653. 17 indexed citations
10.
Kántor, Orsolya, Tamás Kovács‐Öller, Anna Énzsöly, et al.. (2014). TNAP activity is localized at critical sites of retinal neurotransmission across various vertebrate species. Cell and Tissue Research. 358(1). 85–98. 7 indexed citations
11.
Brun‐Heath, Isabelle, Myriam Ermonval, E Chabrol, et al.. (2010). Differential expression of the bone and the liver tissue non-specific alkaline phosphatase isoforms in brain tissues. Cell and Tissue Research. 343(3). 521–536. 44 indexed citations
12.
Risser, Laurent, Franck Plouraboué, Peter Cloetens, & Caroline Fonta. (2008). A 3D‐investigation shows that angiogenesis in primate cerebral cortex mainly occurs at capillary level. International Journal of Developmental Neuroscience. 27(2). 185–196. 59 indexed citations
13.
Fonta, Caroline, et al.. (2007). Developmental changes in cellular prion protein in primate visual cortex. The Journal of Comparative Neurology. 504(6). 646–658. 4 indexed citations
14.
Fonta, Caroline, László Négyessy, Luc Renaud, & Pascal Barone. (2005). Postnatal development of alkaline phosphatase activity correlates with the maturation of neurotransmission in the cerebral cortex. The Journal of Comparative Neurology. 486(2). 179–196. 65 indexed citations
15.
16.
Fonta, Caroline, et al.. (2000). Effect of monocular deprivation on NMDAR1 immunostaining in ocular dominance columns of the marmoset Callithrix jacchus. Visual Neuroscience. 17(3). 345–352. 36 indexed citations
17.
Uro‐Coste, Emmanuelle, Caroline Fonta, François Hatey, et al.. (1997). Expression of SKP1 mRNA and protein in rat brain during postnatal development. Neuroreport. 8(7). 1675–1678. 8 indexed citations
18.
Déguine, Olivier, et al.. (1996). Prenatal lesioning of vestibular organ by aminoglycosides. Neuroreport. 7(15). 2435–2438. 5 indexed citations
19.
Fonta, Caroline & C. Masson. (1984). Comparative study by electrophysiology of olfactory responses in bumblebees (Bombus hypnorum andBombus terrestris). Journal of Chemical Ecology. 10(8). 1157–1168. 18 indexed citations
20.
Fonta, Caroline & C. Masson. (1982). ANALYSE DE L'ÉQUIPEMENT SENSORIEL ANTENNAIRE DU BOURDON BOMBUS HYPNORUM L. Springer Link (Chiba Institute of Technology). 6 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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