Nadia Benkirane

677 total citations
16 papers, 567 citations indexed

About

Nadia Benkirane is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science. According to data from OpenAlex, Nadia Benkirane has authored 16 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Agronomy and Crop Science. Recurrent topics in Nadia Benkirane's work include Glycosylation and Glycoproteins Research (7 papers), Viral Infections and Immunology Research (7 papers) and Animal Disease Management and Epidemiology (7 papers). Nadia Benkirane is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Viral Infections and Immunology Research (7 papers) and Animal Disease Management and Epidemiology (7 papers). Nadia Benkirane collaborates with scholars based in France and United States. Nadia Benkirane's co-authors include Sylviane Muller, Gilles Guichard, Jean‐Paul Briand, M.H.V. Van Regenmortel, Gabrielle Zeder‐Lutz, F. Brown, Marc H. V. Van Regenmortel, Martin Friede, Christian Callebaut and Bernard Krust and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Nadia Benkirane

16 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadia Benkirane France 11 391 145 130 71 69 16 567
Cheng‐Yu Chung United States 19 572 1.5× 258 1.8× 126 1.0× 37 0.5× 52 0.8× 29 787
Heinz‐Kurt Hochkeppel Switzerland 11 384 1.0× 53 0.4× 182 1.4× 29 0.4× 32 0.5× 16 666
S. Plaué France 10 236 0.6× 148 1.0× 84 0.6× 13 0.2× 20 0.3× 12 355
R. M. VALERIO Australia 9 432 1.1× 31 0.2× 124 1.0× 28 0.4× 32 0.5× 11 650
Jean Paul Briand France 13 435 1.1× 91 0.6× 244 1.9× 12 0.2× 58 0.8× 16 781
Jean‐Jacques Madjar France 14 624 1.6× 34 0.2× 128 1.0× 11 0.2× 56 0.8× 26 837
Lynne J. Lawrence Australia 15 479 1.2× 195 1.3× 77 0.6× 16 0.2× 22 0.3× 18 866
E. Heimer United States 10 325 0.8× 32 0.2× 100 0.8× 53 0.7× 19 0.3× 19 559
Wilhelm Bannwarth Switzerland 8 323 0.8× 131 0.9× 220 1.7× 11 0.2× 25 0.4× 11 705
Elchanan Maron Israel 15 319 0.8× 230 1.6× 165 1.3× 11 0.2× 16 0.2× 19 559

Countries citing papers authored by Nadia Benkirane

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Benkirane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Benkirane

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

All Works

16 of 16 papers shown
1.
Averlant‐Petit, Marie‐Christine, Nadia Benkirane, Gilles Guichard, et al.. (1999). Solution Structure of a Retro-inverso Peptide Analogue Mimicking the Foot-and-Mouth Disease Virus Major Antigenic Site. Journal of Biological Chemistry. 274(6). 3686–3692. 31 indexed citations
2.
Brown, F., Nadia Benkirane, J. F. E. Newman, et al.. (1999). Delineation of a neutralizing subregion within the immunodominant epitope (GH loop) of foot-and-mouth disease virus VP1 which does not contain the RGD motif. Vaccine. 18(1-2). 50–56. 21 indexed citations
3.
Regenmortel, M.H.V. Van, Gilles Guichard, Nadia Benkirane, et al.. (1998). The potential of retro-inverso peptides as synthetic vaccines.. PubMed. 92. 139–43. 9 indexed citations
4.
Pinilla, Clemencia, et al.. (1998). All-d peptides recognized by an anti-carbohydrate antibody identified from a positional scanning library. Journal of Molecular Biology. 283(5). 1013–1025. 18 indexed citations
5.
Muller, Sylviane, et al.. (1998). The potential of retro-inverso peptides as synthetic vaccines. Expert Opinion on Investigational Drugs. 7(9). 1429–1438. 10 indexed citations
6.
Callebaut, Christian, Julià Blanco, Nadia Benkirane, et al.. (1998). Identification of V3 Loop-binding Proteins as Potential Receptors Implicated in the Binding of HIV Particles to CD4+Cells. Journal of Biological Chemistry. 273(34). 21988–21997. 68 indexed citations
7.
Briand, Jean‐Paul, Nadia Benkirane, Gilles Guichard, et al.. (1997). A retro-inverso peptide corresponding to the GH loop of foot-and-mouth disease virus elicits high levels of long-lasting protective neutralizing antibodies. Proceedings of the National Academy of Sciences. 94(23). 12545–12550. 58 indexed citations
8.
Muller, Sylviane, et al.. (1997). Highly specific, cross-reactive sequences recognized by an anti-HBsAg antibody identified from a positional scanning synthetic combinatorial library.. PubMed. 9(4). 174–82. 9 indexed citations
9.
Benkirane, Nadia, Gilles Guichard, Jean‐Paul Briand, & Sylviane Muller. (1996). Exploration of Requirements for Peptidomimetic Immune Recognition. Journal of Biological Chemistry. 271(52). 33218–33224. 13 indexed citations
10.
Callebaut, Christian, Étienne Jacotot, Gilles Guichard, et al.. (1996). Inhibition of HIV Infection by Pseudopeptides Blocking Viral Envelope Glycoprotein-Mediated Membrane Fusion and Cell Death. Virology. 218(1). 181–192. 31 indexed citations
11.
Benkirane, Nadia, Gilles Guichard, J.-P. Briand, et al.. (1996). Mimicry of viral epitopes with retro-inverso peptides of increased stability.. PubMed. 87. 283–91. 9 indexed citations
12.
Benkirane, Nadia, Gilles Guichard, M.H.V. Van Regenmortel, Jean‐Paul Briand, & Sylviane Muller. (1995). Cross-reactivity of Antibodies to Retro-Inverso Peptidomimetics with the Parent Protein Histone H3 and Chromatin Core Particle. Journal of Biological Chemistry. 270(20). 11921–11926. 46 indexed citations
13.
Guichard, Gilles, et al.. (1995). Synthesis and antigenic properties of reduced peptide bond pseudopeptide analogues of a histone H3 hexapeptide.. PubMed. 7(6). 308–21. 7 indexed citations
14.
Muller, Sylviane, et al.. (1995). Enhanced immunogenicity and cross-reactivity of retro-inverso peptidomimetics of the major antigenic site of foot-and-mouth disease virus.. PubMed. 8(3). 138–44. 22 indexed citations
15.
Guichard, Gilles, Nadia Benkirane, Gabrielle Zeder‐Lutz, et al.. (1994). Antigenic mimicry of natural L-peptides with retro-inverso-peptidomimetics.. Proceedings of the National Academy of Sciences. 91(21). 9765–9769. 142 indexed citations
16.
Benkirane, Nadia, Martin Friede, Gilles Guichard, et al.. (1993). Antigenicity and immunogenicity of modified synthetic peptides containing D-amino acid residues. Antibodies to a D-enantiomer do recognize the parent L-hexapeptide and reciprocally.. Journal of Biological Chemistry. 268(35). 26279–26285. 73 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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