Ariane Davidson

31 papers receiving 1.3k citations

Peers

Ariane Davidson
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 591
  • Developmental Neuroscience 95
  • Molecular Biology 688
  • Physiology 212
  • Genetics 210
Replace Monique Howard with:
Monique Howard Australia
Denise M. Larson United States
Jacques Borg France
Merav Bassan Israel
Pieter J. Peeters Belgium
Yoko Furukawa‐Hibi Japan
Masami Yoshimura United States
Lisheng Peng China
Elaine A. Neale United States
W. Howard Evans United Kingdom
Ariane Davidson relative to Monique Howard Australia Monique Howard's profile →
Citations per field
00.5×2.5×
Monique Howard · 1×
Citations per year

Countries citing papers authored by Ariane Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Ariane Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ariane Davidson, 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 Ariane Davidson Line = papers co-authored together Ariane Davidson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999319
2 2011145
3 1993115
4 1998105
5 199593
6 199954
7 201252
8 199751
9 199949
10 199747
11 199843
12 200939
13 199833
14 199927
15 199126
16 199926
17 198624
18 200922
19 201019
20 199716

About Ariane Davidson

Ariane Davidson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Ecology and Obstetrics and Gynecology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (15 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Alzheimer's disease research and treatments (3 papers), Forensic and Genetic Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Lipid Membrane Structure and Behavior (3 papers), Environmental DNA in Biodiversity Studies (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (591 citations), Developmental Neuroscience (95 citations), Molecular Biology (688 citations), Physiology (212 citations) and Genetics (210 citations). Ariane Davidson has collaborated with scholars based in Israel, United States and Cameroon. Frequent co-authors include Illana Gozes, Douglas E. Brenneman, Mati Fridkin, Dan Frumkin, Adam Wasserstrom, Merav Bassan, Eliezer Giladi, Orly Perl, Rachel Zamostiano and Gordon W. Glazner. Their work appears in journals such as Annals of the New York Academy of Sciences, Forensic Science International Genetics, Proceedings of the National Academy of Sciences, The Journal of Maternal-Fetal & Neonatal Medicine and International Journal of Gynecology & Obstetrics.

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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