Stéphane Pagès

2.1k citations
31 papers · 1.2k · h-index 15

Impact in

Papers in

Stéphane Pagès

29 papers receiving 1.2k citations

Peers

Stéphane Pagès
Comparison fields: 5 of 97
  • Physical and Theoretical Chemistry 290
  • Cellular and Molecular Neuroscience 386
  • Biophysics 119
  • Developmental Neuroscience 53
  • Parasitology 84
Replace François Lambert with:
François Lambert France
L. Zhou United States
Thomas E. Hughes United States
Andreas Henkel Germany
Guy W. J. Moss United Kingdom
Jonathan Wood United Kingdom
Martin Oheim France
Madoka Suzuki Japan
Sally A. Kim United States
Sabine Lévi France
Stéphane Pagès relative to François Lambert France François Lambert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stéphane Pagès

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Pagès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018218
2 2014179
3 2016148
4 2020104
5 200469
6 200566
7 201161
8 201158
9 200656
10 200353
11 200441
12 200631
13 200529
14 200228
15 202028
16 202212
17 201111
18 202111
19
Ultrafast spectroscopy on bimolecular photoinduced electron transfer reactions
20049
20 20237

About Stéphane Pagès

Stéphane Pagès is a scholar working on Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Photochemistry and Electron Transfer Studies (9 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Neural dynamics and brain function (7 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroscience and Neural Engineering (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (290 citations), Cellular and Molecular Neuroscience (386 citations), Biophysics (119 citations), Developmental Neuroscience (53 citations) and Parasitology (84 citations). Stéphane Pagès has collaborated with scholars based in Switzerland, France and Canada. Frequent co-authors include Eric Vauthey, Anthony Holtmaat, Bernhard Lang, Alan Carleton, Olivier Nicolet, Frédéric Gambino, Roberta Tatti, Daniela Baptista, Daniel Côté and Paul De Koninck. Their work appears in journals such as The Journal of Physical Chemistry A, Nature Communications, Journal of Neuroscience, eLife and Journal of Applied Biomedicine.

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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