Caroline Fonta

1.9k citations
58 papers · 1.5k · h-index 21

Impact in

Papers in

Caroline Fonta

58 papers receiving 1.5k citations

Peers

Caroline Fonta
Comparison fields: 5 of 123
  • Sensory Systems 101
  • Cellular and Molecular Neuroscience 361
  • Physiology 81
  • Neurology 140
  • Endocrinology, Diabetes and Metabolism 272
Replace Charlie S. Thompson with:
Charlie S. Thompson Canada
Zhuhao Wu United States
J. A. Freeman United States
Heather S. Duffy United States
Shirley H. Wray United States
Matthew Reed United Kingdom
Heather M. Young Australia
Theodore H. Lindsay United States
Machelle T. Pardue United States
Eiji Watanabe Japan
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Caroline Fonta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caroline Fonta Line = papers co-authored together Caroline Fonta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993107
2 200995
3 200488
4 200686
5 200479
6 199368
7 200565
8 200262
9 200859
10 201054
11 201049
12 201247
13 201044
14 199341
15 198540
16 202038
17 201836
18 200036
19 201734
20 201930

About Caroline Fonta

Caroline Fonta is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Cognitive Neuroscience and Genetics, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alkaline Phosphatase Research Studies (14 papers), Heterotopic Ossification and Related Conditions (8 papers), Insect and Arachnid Ecology and Behavior (8 papers), Neurobiology and Insect Physiology Research (7 papers), Insect and Pesticide Research (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Bone and Joint Diseases (6 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Sensory Systems (101 citations), Cellular and Molecular Neuroscience (361 citations), Physiology (81 citations), Neurology (140 citations) and Endocrinology, Diabetes and Metabolism (272 citations). Caroline Fonta has collaborated with scholars based in France, Hungary and United States. Frequent co-authors include C. Masson, Franck Plouraboué, Xuejun Sun, László Négyessy, Peter Cloetens, Laurent Risser, Romain Guibert, M. Imbert, Alexandre Steyer and Pascal Barone. Their work appears in journals such as Sub-cellular biochemistry, Cell and Tissue Research, Neuroreport, Journal of Cerebral Blood Flow & Metabolism and Chemical Senses.

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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