Matthieu Sainlos

3.2k citations
43 papers · 2.4k indexed · h-index 26

Impact in

Papers in

Matthieu Sainlos

42 papers receiving 2.4k citations

Peers

Matthieu Sainlos
Comparison fields: 5 of 97
  • Structural Biology 74
  • Cellular and Molecular Neuroscience 893
  • Biophysics 240
  • Molecular Biology 1.6k
  • Cell Biology 304
Replace Christian G. Specht with:
Christian G. Specht France
Harshad D. Vishwasrao United States
Lydia Danglot France
Martin Oheim France
Thomas E. Hughes United States
Fabian Göttfert Germany
Daniela C. Dieterich Germany
Thomas Gensch Germany
Xiaobing Chen United States
Sally A. Kim United States
Matthieu Sainlos relative to Christian G. Specht France Christian G. Specht's profile →
Citations per field
00.5×3.3×
Christian G. Specht · 1×
Citations per year

Countries citing papers authored by Matthieu Sainlos

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Sainlos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 202410
3 20241
4 202221
5 202221
6 20224
7 202137
8 201919
9 201929
10 201913
11 201919
12 201843
13 201728
14 2016115
15 201575
16 201368
17 201131
18 200717
19 200619
20 200552

About Matthieu Sainlos

Matthieu Sainlos is a scholar working on Biophysics, Structural Biology, Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Advanced Fluorescence Microscopy Techniques (9 papers), Lipid Membrane Structure and Behavior (7 papers), RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Photoreceptor and optogenetics research (5 papers), Virus-based gene therapy research (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Structural Biology (74 citations), Cellular and Molecular Neuroscience (893 citations), Biophysics (240 citations), Molecular Biology (1.6k citations) and Cell Biology (304 citations). Matthieu Sainlos has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Daniel Choquet, Barbara Imperiali, Galen S. Loving, Patricio Opazo, Dolors Grillo‐Bosch, Olivier Thoumine, Jean‐Marie Lehn, Noufϊssa Oudrhiri, Jean‐Baptiste Sibarita and M. Hauchecorne. Their work appears in journals such as Nature Communications, Nature Protocols, Cell Reports, eLife and Neuron.

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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