Céline Valant

5.4k citations
70 papers · 3.4k indexed · 1 hit paper · h-index 29

Céline Valant

68 papers receiving 3.4k citations

Hit Papers

Activation and allosteric modulation of a muscarinic acet...7122013202620172021200400600

Peers

Céline Valant
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 1.9k
  • Physiology 282
  • Molecular Biology 3.0k
  • Computational Theory and Mathematics 521
  • Radiology, Nuclear Medicine and Imaging 393
Replace A.S. Dore with:
A.S. Dore United Kingdom
Jillian G. Baker United Kingdom
Andrea Bortolato Italy
David M. Thal Australia
Katie Leach Australia
Jonathan S. Mason United States
Leigh A. Stoddart United Kingdom
Ali Jazayeri United Kingdom
K.A. Bennett United Kingdom
George Liapakis Greece
Céline Valant relative to A.S. Dore United Kingdom A.S. Dore's profile →
Citations per field
00.5×1.5×
A.S. Dore · 1×
Citations per year

Countries citing papers authored by Céline Valant

Since Specialization
Citations

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

Fields of papers citing papers by Céline Valant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202324
3 20230
4 20234
5 202328
6 20224
7 20215
8 202143
9 20206
10 201953
11 201854
12 20189
13 201816
14 201826
15 20185
16 201721
17 201517
18 20141
19 201251
20 19947

About Céline Valant

Céline Valant is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Biological Psychiatry and Computational Theory and Mathematics, having authored 70 papers that have together received 3.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (64 papers), Neuropeptides and Animal Physiology (39 papers), Neuroscience and Neuropharmacology Research (15 papers), Pharmacological Receptor Mechanisms and Effects (13 papers), Adenosine and Purinergic Signaling (11 papers), Nicotinic Acetylcholine Receptors Study (11 papers), Computational Drug Discovery Methods (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Physiology (282 citations), Molecular Biology (3.0k citations), Computational Theory and Mathematics (521 citations) and Radiology, Nuclear Medicine and Imaging (393 citations). Céline Valant has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Arthur Christopoulos, Patrick M. Sexton, Peter J. Scammells, Christian C. Felder, J. Robert Lane, Luigi Aurelio, Andrew C. Kruse, Emma T. van der Westhuizen, Brian K. Kobilka and Peter Gmeiner. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Pharmacology, ACS Chemical Neuroscience, Proceedings of the National Academy of Sciences and Nature Communications.

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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