Matthieu Gautier

2.2k total citations · 1 hit paper
13 papers, 691 citations indexed

About

Matthieu Gautier is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthieu Gautier has authored 13 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthieu Gautier's work include Single-cell and spatial transcriptomics (4 papers), Spinal Cord Injury Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Matthieu Gautier is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Spinal Cord Injury Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Matthieu Gautier collaborates with scholars based in Switzerland, Canada and United States. Matthieu Gautier's co-authors include Grégoire Courtine, Jordan W. Squair, Mark A. Anderson, Quentin Barraud, Claudia Kathe, Thomas H. Hutson, Michael A. Skinnider, Kaya J.E. Matson, Ariel J. Levine and Gioele La Manno and has published in prestigious journals such as Nature, Nature Communications and Nature Neuroscience.

In The Last Decade

Matthieu Gautier

13 papers receiving 689 citations

Hit Papers

Confronting false discoveries in single-cell differential... 2021 2026 2022 2024 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Confronting false discoveries in single-cell differential expression
    2021 376 citations Jordan W. Squair, Matthieu Gautier et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthieu Gautier Switzerland 7 383 137 104 94 79 13 691
Joseph Shin United States 8 615 1.6× 165 1.2× 62 0.6× 96 1.0× 126 1.6× 15 1.1k
George N. Lambrou Switzerland 19 576 1.5× 57 0.4× 94 0.9× 113 1.2× 73 0.9× 42 1.3k
Ana Novaković Germany 11 221 0.6× 89 0.6× 61 0.6× 40 0.4× 23 0.3× 20 537
Monika Riek‐Burchardt Germany 13 222 0.6× 223 1.6× 32 0.3× 286 3.0× 96 1.2× 19 823
Barbara M. Braunger Germany 16 533 1.4× 55 0.4× 33 0.3× 115 1.2× 56 0.7× 40 930
Carol Saunders United States 22 744 1.9× 108 0.8× 87 0.8× 28 0.3× 89 1.1× 59 1.3k
Amy J. Wisdom United States 11 117 0.3× 140 1.0× 103 1.0× 119 1.3× 36 0.5× 23 629
Sibel Kantarci United States 15 821 2.1× 71 0.5× 126 1.2× 49 0.5× 126 1.6× 23 1.8k
Yiyan Zheng China 18 743 1.9× 65 0.5× 217 2.1× 83 0.9× 140 1.8× 32 1.2k
Rehae Miller United States 10 325 0.8× 76 0.6× 173 1.7× 106 1.1× 18 0.2× 14 712

Countries citing papers authored by Matthieu Gautier

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Gautier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Gautier

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Gautier. A scholar is included among the top collaborators of Matthieu Gautier 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 Matthieu Gautier. Matthieu Gautier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Skinnider, Michael A., Matthieu Gautier, Claudia Kathe, et al.. (2024). Single-cell and spatial atlases of spinal cord injury in the Tabulae Paralytica. Nature. 631(8019). 150–163. 34 indexed citations
2.
Anderson, Mark A., Jordan W. Squair, Matthieu Gautier, et al.. (2022). Natural and targeted circuit reorganization after spinal cord injury. Nature Neuroscience. 25(12). 1584–1596. 70 indexed citations
3.
Hudelle, Rémi, Jordan W. Squair, Matthieu Gautier, et al.. (2022). Longitudinal interrogation of sympathetic neural circuits and hemodynamics in preclinical models. Nature Protocols. 18(2). 340–373. 6 indexed citations
4.
Hudelle, Rémi, Jordan W. Squair, Mark A. Anderson, et al.. (2022). Long‐term neuroprosthetic hemotherapy treats autonomic dysreflexia after spinal cord injury. The FASEB Journal. 36(S1). 1 indexed citations
5.
Squair, Jordan W., Matthieu Gautier, Claudia Kathe, et al.. (2021). Confronting false discoveries in single-cell differential expression. Nature Communications. 12(1). 5692–5692. 376 indexed citations breakdown →
6.
Squair, Jordan W., Matthieu Gautier, Michael V. Sofroniew, Grégoire Courtine, & Mark A. Anderson. (2021). Engineering spinal cord repair. Current Opinion in Biotechnology. 72. 48–53. 21 indexed citations
7.
Squair, Jordan W., Michael A. Skinnider, Matthieu Gautier, Leonard J. Foster, & Grégoire Courtine. (2021). Prioritization of cell types responsive to biological perturbations in single-cell data with Augur. Nature Protocols. 16(8). 3836–3873. 21 indexed citations
8.
Skinnider, Michael A., Jordan W. Squair, Claudia Kathe, et al.. (2020). Cell type prioritization in single-cell data. Nature Biotechnology. 39(1). 30–34. 109 indexed citations
9.
Squair, Jordan W., et al.. (2020). The role of the rostral ventrolateral medulla in systolic blood pressure frequency content within the Mayer wave band. The FASEB Journal. 34(S1). 1–1. 1 indexed citations
10.
Dejean, C., et al.. (2018). EP-2235: Commissioning of the first Papillon + for breast intra operative radiotherapy unit. Radiotherapy and Oncology. 127. S1235–S1236. 1 indexed citations
11.
T., P., Erick Delage, D. Donnarieix, et al.. (2015). Coupling of Geant4-DNA physics models into the GATE Monte Carlo platform: Evaluation of radiation-induced damage for clinical and preclinical radiation therapy beams. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 353. 46–55. 6 indexed citations
12.
Cognet, Thomas, Laurent Dercle, D. Bastié, et al.. (2013). New concept of myocardial longitudinal strain reserve assessed by a dipyridamole infusion using 2D-strain echocardiography: the impact of diabetes and age, and the prognostic value. Cardiovascular Diabetology. 12(1). 84–84. 39 indexed citations
13.
Lairez, Olivier, Thomas Cognet, Laurent Dercle, et al.. (2013). Prediction of all-cause mortality from gated-SPECT global myocardial wall thickening. Journal of Nuclear Cardiology. 21(1). 86–95. 6 indexed citations

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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