Nadia Benkirane

24 total papers · 673 total citations
16 papers, 568 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 568 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), Animal Disease Management and Epidemiology (7 papers) and Viral Infections and Immunology Research (7 papers). Nadia Benkirane is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Animal Disease Management and Epidemiology (7 papers) and Viral Infections and Immunology Research (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, Martin Friede, Marc H. V. Van Regenmortel, Bernard Krust and Ara G. Hovanessian 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 541 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nadia Benkirane 392 145 131 71 69 16 568
James H. Gilbert 280 0.7× 79 0.5× 108 0.8× 24 0.3× 16 0.2× 10 597
Manfred Wirth 423 1.1× 42 0.3× 86 0.7× 17 0.2× 37 0.5× 22 623
Heinz‐Kurt Hochkeppel 383 1.0× 53 0.4× 182 1.4× 29 0.4× 32 0.5× 16 664
R. M. VALERIO 432 1.1× 31 0.2× 124 0.9× 28 0.4× 32 0.5× 11 649
Beatriz Apellániz 405 1.0× 73 0.5× 108 0.8× 12 0.2× 36 0.5× 28 578
Mary Alexander Fink 208 0.5× 59 0.4× 134 1.0× 20 0.3× 97 1.4× 29 511
Shane Reeve 301 0.8× 20 0.1× 118 0.9× 21 0.3× 26 0.4× 21 676
Dennis Blakeslee 244 0.6× 80 0.6× 130 1.0× 11 0.2× 9 0.1× 20 547
Dwight B. DuBois 168 0.4× 48 0.3× 22 0.2× 33 0.5× 39 0.6× 15 548
Elchanan Maron 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

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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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