Richard Daniellou

1.7k total citations
84 papers, 1.4k citations indexed

About

Richard Daniellou is a scholar working on Organic Chemistry, Molecular Biology and Biotechnology. According to data from OpenAlex, Richard Daniellou has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Organic Chemistry, 52 papers in Molecular Biology and 22 papers in Biotechnology. Recurrent topics in Richard Daniellou's work include Carbohydrate Chemistry and Synthesis (43 papers), Glycosylation and Glycoproteins Research (24 papers) and Enzyme Production and Characterization (22 papers). Richard Daniellou is often cited by papers focused on Carbohydrate Chemistry and Synthesis (43 papers), Glycosylation and Glycoproteins Research (24 papers) and Enzyme Production and Characterization (22 papers). Richard Daniellou collaborates with scholars based in France, Canada and Czechia. Richard Daniellou's co-authors include Vincent Ferrières, Caroline Nugier‐Chauvin, Pierre Lafite, Laurent Legentil, Sylvain Gaillard, Jean‐Luc Renaud, Matthieu Hamel, Fabien Sguerra, Ronan Marion and Hechmi Toumi and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Journal of Cleaner Production.

In The Last Decade

Richard Daniellou

83 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Daniellou France 21 786 705 259 156 132 84 1.4k
Charles Tellier France 26 617 0.8× 1.1k 1.6× 507 2.0× 84 0.5× 157 1.2× 77 1.7k
Narayana Nagesh India 32 1.2k 1.6× 1.4k 2.0× 164 0.6× 139 0.9× 186 1.4× 87 2.5k
David L. Jakeman Canada 30 1.0k 1.3× 1.3k 1.8× 344 1.3× 78 0.5× 139 1.1× 103 2.1k
Sadanandan E. Velu United States 26 432 0.5× 713 1.0× 232 0.9× 85 0.5× 89 0.7× 73 1.6k
Patrizia Ferraboschi Italy 20 654 0.8× 1.3k 1.8× 73 0.3× 54 0.3× 82 0.6× 109 2.0k
Bridget L. Stocker New Zealand 24 968 1.2× 937 1.3× 93 0.4× 67 0.4× 90 0.7× 94 1.8k
Dominique Lafont France 23 1.2k 1.5× 1.2k 1.7× 87 0.3× 85 0.5× 276 2.1× 77 1.9k
Virginia Spanò Italy 30 1.6k 2.1× 885 1.3× 162 0.6× 71 0.5× 121 0.9× 67 2.4k
Péter Fügedi Hungary 22 1.5k 1.9× 1.4k 2.0× 160 0.6× 310 2.0× 62 0.5× 45 2.1k
C. J. De Ranter Belgium 19 332 0.4× 434 0.6× 203 0.8× 257 1.6× 187 1.4× 141 1.3k

Countries citing papers authored by Richard Daniellou

Since Specialization
Citations

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

Fields of papers citing papers by Richard Daniellou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Daniellou

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

All Works

20 of 20 papers shown
1.
Daniellou, Richard, et al.. (2025). An Interfacial Study of Sucrose Ester-Stabilized Water-Free Foams. Cosmetics. 12(1). 15–15. 1 indexed citations
2.
Bawack, Ransome Epie, et al.. (2025). Towards a circular business ecosystem 4.0 in the cosmetics industry: Findings from a bibliometric analysis and systematic literature review. Journal of Cleaner Production. 521. 146162–146162. 1 indexed citations
3.
Huc-Mathis, Delphine, et al.. (2024). An experimental design approach to modeling water-free foams. Colloids and Surfaces A Physicochemical and Engineering Aspects. 699. 134700–134700. 2 indexed citations
4.
Collet, Guillaume, et al.. (2024). Effect of bacterial nanocellulose and plant-containing facial serum on hyperpigmentation in in-vitro conditions. BioResources. 19(2). 3208–3233. 1 indexed citations
5.
Pedeux, Rémy, Pierre Lafite, Ulrich Jarry, et al.. (2024). The Identification of New c-FLIP Inhibitors for Restoring Apoptosis in TRAIL-Resistant Cancer Cells. Current Issues in Molecular Biology. 46(1). 710–728. 11 indexed citations
6.
Roubinet, Benoît, Pierre Lafite, Laurent Legentil, et al.. (2024). Galf-Specific Neolectins: Towards Promising Diagnostic Tools. International Journal of Molecular Sciences. 25(9). 4826–4826. 1 indexed citations
7.
Collet, Guillaume, et al.. (2024). Biocatalytic Synthesis of Coumarin S-Glycosides: Towards Non-Cytotoxic Probes for Biomedical Imaging and Sensing. Molecules. 29(6). 1322–1322. 1 indexed citations
8.
Matthews, D.I., et al.. (2024). “Mix and match” auto-assembly of glycosyltransferase domains delivers biocatalysts with improved substrate promiscuity. Journal of Biological Chemistry. 300(3). 105747–105747. 2 indexed citations
9.
10.
Roubinet, Benoît, et al.. (2022). Lectin Analysis of SARS-CoV-2-Positive Nasopharyngeal Samples Using GLYcoPROFILE® Technology Platform. Diagnostics. 12(11). 2860–2860. 1 indexed citations
11.
Toumi, Hechmi, Benoît Roubinet, Ludovic Landemarre, et al.. (2020). Laminarin Effects, a β-(1,3)-Glucan, on Skin Cell Inflammation and Oxidation. Cosmetics. 7(3). 66–66. 42 indexed citations
12.
Papi, Francesco, et al.. (2020). Synthesis of an STnThr analogue, structurally based on a TnThr antigen mimetic. Organic & Biomolecular Chemistry. 18(37). 7366–7372. 6 indexed citations
13.
Lafite, Pierre, et al.. (2020). Galactofuranose-Related Enzymes: Challenges and Hopes. International Journal of Molecular Sciences. 21(10). 3465–3465. 12 indexed citations
14.
Pistorio, Salvatore G., et al.. (2019). Hydrolysis of Glycosyl Thioimidates by Glycoside Hydrolase Requires Remote Activation for Efficient Activity. Catalysts. 9(10). 826–826. 4 indexed citations
15.
Legentil, Laurent, Vincent Ferrières, Svetlana V. Eliseeva, et al.. (2019). Galactofuranosidase from JHA 19 Streptomyces sp.: subcloning and biochemical characterization. Carbohydrate Research. 480. 35–41. 7 indexed citations
16.
Silva, David Da, Cyril Colas, Reine Nehmé, et al.. (2018). Monitoring of successive phosphorylations of thymidine using free and immobilized human nucleoside/nucleotide kinases by Flow Injection Analysis with High-Resolution Mass Spectrometry. Analytica Chimica Acta. 1049. 115–122. 6 indexed citations
17.
Elie, Margaux, Sylvain Gaillard, Richard Daniellou, et al.. (2017). Antipseudomonal activity enhancement of luminescent iridium(iii) dipyridylamine complexes under visible blue light. Metallomics. 9(12). 1820–1827. 13 indexed citations
18.
Peyrot, Cédric, Thomas Vivès, Laurent Legentil, Loı̈c Lemiègre, & Richard Daniellou. (2017). Microwave‐Assisted Reduction of Nitroarenes by Aminothiophenol/dithiotreitol. ChemistrySelect. 2(18). 5214–5217. 2 indexed citations
19.
Králová, Blanka, Hana Dvořáková, Vojtěch Spiwok, et al.. (2016). Biocatalyzed synthesis of difuranosides and their ability to trigger production of TNF-α. Bioorganic & Medicinal Chemistry Letters. 26(6). 1550–1553. 6 indexed citations
20.

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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