Alexis Perrot

520 total citations · 1 hit paper
8 papers, 415 citations indexed

About

Alexis Perrot is a scholar working on Organic Chemistry, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Alexis Perrot has authored 8 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Materials Chemistry. Recurrent topics in Alexis Perrot's work include Supramolecular Chemistry and Complexes (6 papers), Photoreceptor and optogenetics research (4 papers) and Supramolecular Self-Assembly in Materials (3 papers). Alexis Perrot is often cited by papers focused on Supramolecular Chemistry and Complexes (6 papers), Photoreceptor and optogenetics research (4 papers) and Supramolecular Self-Assembly in Materials (3 papers). Alexis Perrot collaborates with scholars based in France, United Kingdom and Germany. Alexis Perrot's co-authors include Nicolas Giuseppone, Émilie Moulin, Gad Fuks, Xuyang Yao, Damien Dattler, Wenzhi Wang, Eric Buhler, Isabelle Dez, Friederike Schmid and Andreas Walther and has published in prestigious journals such as Chemical Reviews, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Alexis Perrot

5 papers receiving 409 citations

Hit Papers

Design of Collective Motions from Synthetic Molecular Swi... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexis Perrot France 4 260 211 111 111 45 8 415
James S. W. Seale China 8 230 0.9× 259 1.2× 78 0.7× 80 0.7× 49 1.1× 10 467
Thomas A. Singleton Canada 10 252 1.0× 258 1.2× 54 0.5× 88 0.8× 35 0.8× 13 481
Kuang‐Yen Chen Netherlands 8 180 0.7× 220 1.0× 92 0.8× 75 0.7× 62 1.4× 10 338
Damien Dattler France 4 366 1.4× 355 1.7× 193 1.7× 173 1.6× 63 1.4× 7 619
Marco Ovalle China 7 222 0.9× 223 1.1× 69 0.6× 64 0.6× 45 1.0× 12 392
Kim Kuntze Finland 12 256 1.0× 115 0.5× 90 0.8× 59 0.5× 49 1.1× 18 389
Takuya Taniguchi Japan 11 355 1.4× 127 0.6× 51 0.5× 99 0.9× 50 1.1× 24 489
Daisy R. S. Pooler Netherlands 8 169 0.7× 173 0.8× 114 1.0× 39 0.4× 41 0.9× 11 315
Neil Mallo Australia 9 293 1.1× 111 0.5× 194 1.7× 45 0.4× 72 1.6× 16 409
Monika Schildhauer Germany 7 229 0.9× 221 1.0× 192 1.7× 43 0.4× 40 0.9× 7 419

Countries citing papers authored by Alexis Perrot

Since Specialization
Citations

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

Fields of papers citing papers by Alexis Perrot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexis Perrot

This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Perrot. A scholar is included among the top collaborators of Alexis Perrot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexis Perrot. Alexis Perrot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Perrot, Alexis, et al.. (2025). Depolymerisation of polyisoprene by olefin cross-metathesis at equilibrium. Polymer Degradation and Stability. 241. 111529–111529. 1 indexed citations
2.
Marchi, Luís, Alain Yves Le Roux, Alexis Perrot, et al.. (2025). Improving Diagnostic Robustness of Perfusion MRI in Brain Metastases: A Focus on 3D ROI Techniques and Automatic Thresholding. Cancers. 17(13). 2085–2085.
3.
Yao, Xuyang, Daniel Hoenders, Weixiang Chen, et al.. (2024). Scalable Approach to Molecular Motor‐Polymer Conjugates for Light‐Driven Artificial Muscles (Adv. Mater. 28/2024). Advanced Materials. 36(28).
4.
Yao, Xuyang, Daniel Hoenders, Weixiang Chen, et al.. (2024). Scalable Approach to Molecular Motor‐Polymer Conjugates for Light‐Driven Artificial Muscles. Advanced Materials. 36(28). e2403514–e2403514. 3 indexed citations
5.
Perrot, Alexis, Wenzhi Wang, Eric Buhler, Émilie Moulin, & Nicolas Giuseppone. (2023). Bending Actuation of Hydrogels through Rotation of Light‐Driven Molecular Motors. Angewandte Chemie. 135(13).
6.
Perrot, Alexis, Wenzhi Wang, Eric Buhler, Émilie Moulin, & Nicolas Giuseppone. (2023). Bending Actuation of Hydrogels through Rotation of Light‐Driven Molecular Motors. Angewandte Chemie International Edition. 62(13). e202300263–e202300263. 17 indexed citations
7.
Perrot, Alexis, Émilie Moulin, & Nicolas Giuseppone. (2021). Extraction of mechanical work from stimuli-responsive molecular systems and materials. Trends in Chemistry. 3(11). 926–942. 24 indexed citations
8.
Dattler, Damien, Gad Fuks, Émilie Moulin, et al.. (2019). Design of Collective Motions from Synthetic Molecular Switches, Rotors, and Motors. Chemical Reviews. 120(1). 310–433. 370 indexed citations breakdown →

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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