Laétitia Mony

1.5k citations
23 papers · 1.2k · h-index 14

Impact in

Papers in

Laétitia Mony

23 papers receiving 1.2k citations

Peers

Laétitia Mony
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 819
  • Biological Psychiatry 42
  • Molecular Biology 731
  • Developmental Neuroscience 32
  • Biochemistry 60
Replace Jon E. Hawkinson with:
Jon E. Hawkinson United States
Shujia Zhu China
Hana Chodounská Czechia
Georg Jaeschke Switzerland
Ryan D. Morrison United States
Kevin Erreger United States
Noriko Simorowski United States
Erkan Karakaş United States
Marion Wittmann United States
Hilde Lavreysen Belgium
Laétitia Mony relative to Jon E. Hawkinson United States Jon E. Hawkinson's profile →
Citations per field
00.5×1.7×
Jon E. Hawkinson · 1×
Citations per year

Countries citing papers authored by Laétitia Mony

Since Specialization
Citations

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

Fields of papers citing papers by Laétitia Mony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009321
2 2009262
3 2011137
4 201687
5 201065
6 200846
7 201542
8 202135
9 202334
10 202330
11 200524
12 201823
13 202021
14 201117
15 201011
16 201210
17 20219
18 20089
19 20248
20 20244

About Laétitia Mony

Laétitia Mony is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Plant Science, Materials Chemistry and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Receptor Mechanisms and Signaling (11 papers), Photoreceptor and optogenetics research (6 papers), Ion channel regulation and function (5 papers), Photochromic and Fluorescence Chemistry (4 papers), Chemical Synthesis and Analysis (4 papers), GABA and Rice Research (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (819 citations), Biological Psychiatry (42 citations), Molecular Biology (731 citations), Developmental Neuroscience (32 citations) and Biochemistry (60 citations). Laétitia Mony has collaborated with scholars based in France, United States and China. Frequent co-authors include Pierre Paoletti, Martin J. Gunthorpe, James N.C. Kew, Marc Gielen, Jon W. Johnson, Stéphanie Carvalho, Shujia Zhu, David Stroebel, Ehud Y. Isacoff and Thomas K. Berger. Their work appears in journals such as Molecular Pharmacology, The EMBO Journal, Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry Letters and Bioconjugate Chemistry.

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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