Benoît Gautier

6.2k total citations · 2 hit papers
33 papers, 3.5k citations indexed

About

Benoît Gautier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Benoît Gautier has authored 33 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Organic Chemistry. Recurrent topics in Benoît Gautier's work include Angiogenesis and VEGF in Cancer (10 papers), Glycosylation and Glycoproteins Research (5 papers) and Chemical Synthesis and Analysis (4 papers). Benoît Gautier is often cited by papers focused on Angiogenesis and VEGF in Cancer (10 papers), Glycosylation and Glycoproteins Research (5 papers) and Chemical Synthesis and Analysis (4 papers). Benoît Gautier collaborates with scholars based in France, Australia and United States. Benoît Gautier's co-authors include Kim‐Anh Lê Cao, Amrit Singh, Florian Rohart, Casey P. Shannon, Michaël Vacher, Scott J. Tebbutt, Michel Vidal, Nicolas Inguimbert, Christiane Garbay and Victor Gonçalves and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Benoît Gautier

33 papers receiving 3.5k citations

Hit Papers

align trajectories

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.

mixOmics: An R package for ‘omics feature selection and multiple data integration

2017 2.3k citations Florian Rohart, Benoît Gautier et al. profile →
DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays

2019 557 citations Amrit Singh, Casey P. Shannon et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benoît Gautier France	19	2.0k	395	317	311	251	33	3.5k
Florian Rohart Australia	10	1.8k 0.9×	362 0.9×	351 1.1×	319 1.0×	265 1.1×	15	3.3k
Amrit Singh Canada	13	1.7k 0.9×	459 1.2×	310 1.0×	309 1.0×	268 1.1×	46	3.4k
Mohammad Tauqeer Alam United Kingdom	29	2.0k 1.0×	298 0.8×	299 0.9×	251 0.8×	245 1.0×	63	3.3k
David Anderson de Lima Morais Canada	9	1.9k 1.0×	379 1.0×	224 0.7×	449 1.4×	245 1.0×	21	3.3k
Nikolaos Psychogios United States	13	2.5k 1.3×	632 1.6×	249 0.8×	292 0.9×	222 0.9×	18	4.1k
Sébastien Dejean France	25	1.5k 0.8×	387 1.0×	420 1.3×	211 0.7×	151 0.6×	86	3.0k
Christopher J. Fields United States	25	2.1k 1.1×	352 0.9×	431 1.4×	469 1.5×	413 1.6×	58	3.5k
Claus Mayer United Kingdom	32	1.8k 0.9×	400 1.0×	185 0.6×	190 0.6×	376 1.5×	76	3.6k
Alexandra Sirota‐Madi United States	10	1.7k 0.9×	208 0.5×	308 1.0×	151 0.5×	249 1.0×	12	2.6k

Countries citing papers authored by Benoît Gautier

Since Specialization

Citations

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

Fields of papers citing papers by Benoît Gautier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Gautier

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

All Works

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20 of 20 papers shown

Gautier, Benoît, et al.. (2022). AAV2/9-mediated gene transfer into murine lacrimal gland leads to a long-term targeted tear film modification. Molecular Therapy — Methods & Clinical Development. 27. 1–16. 4 indexed citations

Campbell, G., Nathalie Bernard‐Marissal, Jérôme Devaux, et al.. (2022). Physiology of PNS axons relies on glycolytic metabolism in myelinating Schwann cells. PLoS ONE. 17(10). e0272097–e0272097. 21 indexed citations

Singh, Amrit, Casey P. Shannon, Benoît Gautier, et al.. (2019). DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays. Bioinformatics. 35(17). 3055–3062. 557 indexed citations breakdown →

Dupont, Charlotte, Céline Faure, F. Daoud, et al.. (2019). Metabolic syndrome and smoking are independent risk factors of male idiopathic infertility. Basic and Clinical Andrology. 29(1). 9–9. 20 indexed citations

Campbell, G., et al.. (2019). In vivo real-time dynamics of ATP and ROS production in axonal mitochondria show decoupling in mouse models of peripheral neuropathies. Acta Neuropathologica Communications. 7(1). 86–86. 59 indexed citations

Bradbury, Linda A., Kelly Hollis, Benoît Gautier, et al.. (2018). Diffusion-weighted Imaging Is a Sensitive and Specific Magnetic Resonance Sequence in the Diagnosis of Ankylosing Spondylitis. The Journal of Rheumatology. 45(6). 771–778. 33 indexed citations

Gaucher, Jonathan, Marie Reille‐Seroussi, Nathalie Gagey‐Eilstein, et al.. (2016). Biophysical Studies of the Induced Dimerization of Human VEGF Receptor 1 Binding Domain by Divalent Metals Competing with VEGF-A. PLoS ONE. 11(12). e0167755–e0167755. 13 indexed citations

Shah, Alok K., Kim‐Anh Lê Cao, David Chen, et al.. (2016). Glyco-centric lectin magnetic bead array (LeMBA) − proteomics dataset of human serum samples from healthy, Barrett׳s esophagus and esophageal adenocarcinoma individuals. Data in Brief. 7. 1058–1062. 3 indexed citations

Zérah, Michel, Françoise Piguet, Marie-Anne Colle, et al.. (2015). Intracerebral Gene Therapy Using AAVrh.10-hARSA Recombinant Vector to Treat Patients with Early-Onset Forms of Metachromatic Leukodystrophy: Preclinical Feasibility and Safety Assessments in Nonhuman Primates. PubMed. 26(2). 113–124. 70 indexed citations

10.

Liu, Chao, Sriganesh Srihari, Samir Lal, et al.. (2015). Personalised pathway analysis reveals association between DNA repair pathway dysregulation and chromosomal instability in sporadic breast cancer. Molecular Oncology. 10(1). 179–193. 20 indexed citations

11.

Shah, Alok K., Kim‐Anh Lê Cao, Eun‐Ju Choi, et al.. (2015). Serum Glycoprotein Biomarker Discovery and Qualification Pipeline Reveals Novel Diagnostic Biomarker Candidates for Esophageal Adenocarcinoma. Molecular & Cellular Proteomics. 14(11). 3023–3039. 29 indexed citations

12.

Faure, Céline, Charlotte Dupont, Pascale Chavatte‐Palmer, Benoît Gautier, & Rachel Lévy. (2014). Are semen parameters related to birth weight?. Fertility and Sterility. 103(1). 6–10. 25 indexed citations

13.

d’Audigier, Clément, Benoît Gautier, Coralie L. Guérin, et al.. (2014). Targeting VEGFR1 on endothelial progenitors modulates their differentiation potential. Angiogenesis. 17(3). 603–616. 15 indexed citations

14.

Gautier, Benoît, Maria A. Miteva, Victor Gonçalves, et al.. (2011). Targeting the Proangiogenic VEGF-VEGFR Protein-Protein Interface with Drug-like Compounds by In Silico and In Vitro Screening. Chemistry & Biology. 18(12). 1631–1639. 33 indexed citations

15.

Gautier, Benoît, Mercedes Martín‐Martínez, Nicolas Inguimbert, et al.. (2011). Parallel solid-phase synthesis of a small library of linear and hydrocarbon-bridged analogues of VEGF81–91: Potential biological tools for studying the VEGF/VEGFR-1 interaction. Bioorganic & Medicinal Chemistry. 19(6). 1978–1986. 19 indexed citations

16.

Gautier, Benoît, Mercedes Martín‐Martínez, Nicolas Inguimbert, et al.. (2011). Disulfide and amide-bridged cyclic peptide analogues of the VEGF81–91 fragment: Synthesis, conformational analysis and biological evaluation. Bioorganic & Medicinal Chemistry. 19(24). 7526–7533. 21 indexed citations

17.

Gonçalves, Victor, Benoît Gautier, Florent Huguenot, et al.. (2009). Total chemical synthesis of the D2 domain of human VEGF receptor 1. Journal of Peptide Science. 15(6). 417–422. 8 indexed citations

18.

Gonçalves, Victor, Benoît Gautier, Christiane Garbay, Michel Vidal, & Nicolas Inguimbert. (2007). Structure‐based design of a bicyclic peptide antagonist of the vascular endothelial growth factor receptors. Journal of Peptide Science. 14(6). 767–772. 12 indexed citations

19.

Gonçalves, Victor, Benoît Gautier, Christiane Garbay, Michel Vidal, & Nicolas Inguimbert. (2007). Development of a chemiluminescent screening assay for detection of vascular endothelial growth factor receptor 1 ligands. Analytical Biochemistry. 366(1). 108–110. 36 indexed citations

20.

Gonçalves, Victor, Benoît Gautier, Anne Regazzetti, et al.. (2007). On-resin cyclization of peptide ligands of the Vascular Endothelial Growth Factor Receptor 1 by copper(I)-catalyzed 1,3-dipolar azide–alkyne cycloaddition. Bioorganic & Medicinal Chemistry Letters. 17(20). 5590–5594. 37 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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