David Briand

1.2k total citations
17 papers, 819 citations indexed

About

David Briand is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Briand has authored 17 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Briand's work include Muscle Physiology and Disorders (7 papers), Mesenchymal stem cell research (2 papers) and Clinical Nutrition and Gastroenterology (2 papers). David Briand is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Mesenchymal stem cell research (2 papers) and Clinical Nutrition and Gastroenterology (2 papers). David Briand collaborates with scholars based in France, Italy and Brazil. David Briand's co-authors include Fabrice Chrétien, Pierre Rocheteau, Grégory Jouvion, David Hardy, Mathilde Latil, Aurore Besnard, Barbara Gayraud-Morel, Jean-Marc Cavaillon, Aurélie Guguin and Shahragim Tajbakhsh and has published in prestigious journals such as Nature Communications, PLoS ONE and PLoS Biology.

In The Last Decade

David Briand

17 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Briand France 11 520 168 167 132 98 17 819
Laura Forcina Italy 14 477 0.9× 219 1.3× 96 0.6× 81 0.6× 160 1.6× 17 734
Mukesh Summan United States 6 353 0.7× 79 0.5× 146 0.9× 88 0.7× 208 2.1× 13 595
Corinne Huchet France 12 332 0.6× 139 0.8× 35 0.2× 46 0.3× 36 0.4× 31 588
J. Mendell United States 18 770 1.5× 145 0.9× 135 0.8× 142 1.1× 37 0.4× 42 1.4k
Masatoshi Ishizaki Japan 15 287 0.6× 91 0.5× 203 1.2× 86 0.7× 35 0.4× 58 678
Veronica Contreras‐Shannon United States 8 371 0.7× 78 0.5× 98 0.6× 85 0.6× 153 1.6× 9 578
Han-Chung Lee Taiwan 21 335 0.6× 75 0.4× 325 1.9× 154 1.2× 14 0.1× 70 1.4k
Tsu‐Hsiang Lu Taiwan 19 494 0.9× 57 0.3× 89 0.5× 58 0.4× 35 0.4× 39 850
Kate Kosmac United States 17 648 1.2× 358 2.1× 337 2.0× 71 0.5× 163 1.7× 32 1.3k
Joseph A. Palatinus United States 13 439 0.8× 46 0.3× 119 0.7× 31 0.2× 125 1.3× 22 729

Countries citing papers authored by David Briand

Since Specialization
Citations

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

Fields of papers citing papers by David Briand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Briand

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

All Works

17 of 17 papers shown
1.
Blatzer, Michael, Anita Kneppers, David Briand, et al.. (2024). Serotonin reuptake inhibitors improve muscle stem cell function and muscle regeneration in male mice. Nature Communications. 15(1). 1 indexed citations
2.
Rincheval, Vincent, et al.. (2023). Differential adhesion during development establishes individual neural stem cell niches and shapes adult behaviour in Drosophila. PLoS Biology. 21(11). e3002352–e3002352. 2 indexed citations
3.
Rujano, Maria A., et al.. (2022). An interplay between cellular growth and atypical fusion defines morphogenesis of a modular glial niche in Drosophila. Nature Communications. 13(1). 4999–4999. 13 indexed citations
4.
Hardy, David, Aurore Besnard, David Briand, et al.. (2019). Defective angiogenesis in CXCL12 mutant mice impairs skeletal muscle regeneration. Skeletal Muscle. 9(1). 25–25. 17 indexed citations
5.
Bouglé, Adrien, Pierre Rocheteau, David Briand, et al.. (2019). Beneficial role of adipose‐derived mesenchymal stem cells from microfragmented fat in a murine model of duchenne muscular dystrophy. Muscle & Nerve. 60(3). 328–335. 6 indexed citations
6.
Mayeuf-Louchart, Alicia, David Hardy, Quentin Thorel, et al.. (2018). MuscleJ: a high-content analysis method to study skeletal muscle with a new Fiji tool. Skeletal Muscle. 8(1). 25–25. 104 indexed citations
7.
Bouglé, Adrien, Pierre Rocheteau, Mikaël Hivelin, et al.. (2018). Micro-fragmented fat injection reduces sepsis-induced acute inflammatory response in a mouse model. British Journal of Anaesthesia. 121(6). 1249–1259. 19 indexed citations
8.
Hardy, David, Aurore Besnard, Mathilde Latil, et al.. (2016). Comparative Study of Injury Models for Studying Muscle Regeneration in Mice. PLoS ONE. 11(1). e0147198–e0147198. 355 indexed citations
9.
Rocheteau, Pierre, Laurent Châtre, David Briand, et al.. (2015). Sepsis induces long-term metabolic and mitochondrial muscle stem cell dysfunction amenable by mesenchymal stem cell therapy. Nature Communications. 6(1). 10145–10145. 162 indexed citations
10.
Latroche, Claire, Béatrice Matot, David Briand, et al.. (2015). Structural and Functional Alterations of Skeletal Muscle Microvasculature in Dystrophin-Deficient mdx Mice. American Journal Of Pathology. 185(9). 2482–2494. 36 indexed citations
11.
Hardy, David, Mathilde Latil, Barbara Gayraud-Morel, et al.. (2015). Choosing the appropriate model for studying muscle regeneration in mice: A comparative study of classical protocols. Morphologie. 99(327). 168–168. 1 indexed citations
12.
Roccon, Alain, G Rizzoli, P. Guiraudou, et al.. (2003). 301 SSR149744, a new antiarrhythmic drug, prevents experimental induced atrial fibrillation. European Journal of Heart Failure Supplements. 2(1). 53–54. 2 indexed citations
13.
Blachier, François, et al.. (1998). Differential Inhibitory Effects of Three Nitric Oxide Donors on Ornithine Decarboxylase Activity in Human Colon Carcinoma Cells. Biochemical Pharmacology. 55(8). 1235–1239. 11 indexed citations
14.
Briand, David, Éric Dubreucq, & P. Galzy. (1994). Enzymatic fatty esters synthesis in aqueous medium with lipase from Candida parapsilosis (Ashford) Langeron and Talice. Biotechnology Letters. 16(8). 813–818. 42 indexed citations
15.
Spiliotis, John, David Briand, M.C. Gouttebel, et al.. (1993). Treatment of fistulas of the gastrointestinal tract with total parenteral nutrition and octreotide in patients with carcinoma.. PubMed. 176(6). 575–80. 19 indexed citations
16.
Gouttebel, M.C., et al.. (1992). Influence of N‐Acetylglutamine or Glutamine Infusion on Plasma Amino Acid Concentrations During the Early Phase of Small‐Bowel Adaptation in the Dog. Journal of Parenteral and Enteral Nutrition. 16(2). 117–121. 23 indexed citations
17.
Astre, C., et al.. (1992). Plasma and jejunal glutamine levels after extensive small bowel resection in dogs. Clinical Nutrition. 11(1). 30–34. 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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