Abdelkader Behdenna

524 total citations
9 papers, 281 citations indexed

About

Abdelkader Behdenna is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Abdelkader Behdenna has authored 9 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Abdelkader Behdenna's work include Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (2 papers) and Avian ecology and behavior (1 paper). Abdelkader Behdenna is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (2 papers) and Avian ecology and behavior (1 paper). Abdelkader Behdenna collaborates with scholars based in France, United Kingdom and United States. Abdelkader Behdenna's co-authors include Andrew E. Shaw, Joshua B. Singer, Richard Orton, Quan Gu, Robert J. Gifford, Joseph Hughes, Mariana Varela, Massimo Palmarini, Tristan P. W. Dennis and Sam J. Wilson and has published in prestigious journals such as Cancer Research, Scientific Reports and PLoS Biology.

In The Last Decade

Abdelkader Behdenna

9 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdelkader Behdenna France 5 130 107 85 46 45 9 281
Corinna Patzina Germany 7 250 1.9× 139 1.3× 99 1.2× 20 0.4× 132 2.9× 7 403
Paula Ellenberg Australia 12 89 0.7× 121 1.1× 215 2.5× 16 0.3× 67 1.5× 19 431
M. Mini India 10 62 0.5× 48 0.4× 69 0.8× 18 0.4× 23 0.5× 57 308
Yanan Wu China 12 173 1.3× 131 1.2× 64 0.8× 12 0.3× 58 1.3× 34 337
Claire Pardieu United Kingdom 5 73 0.6× 64 0.6× 72 0.8× 17 0.4× 84 1.9× 7 265
Yongxu Lu United Kingdom 11 160 1.2× 126 1.2× 60 0.7× 33 0.7× 148 3.3× 19 334
Wen-Rui He China 10 107 0.8× 113 1.1× 86 1.0× 27 0.6× 32 0.7× 18 338
Étori Aguiar Moreira Switzerland 8 159 1.2× 146 1.4× 166 2.0× 24 0.5× 210 4.7× 9 454
Xiaobing Mo China 10 79 0.6× 75 0.7× 91 1.1× 44 1.0× 133 3.0× 19 350
Jamile Ramos da Silva Brazil 8 136 1.0× 200 1.9× 121 1.4× 33 0.7× 102 2.3× 10 344

Countries citing papers authored by Abdelkader Behdenna

Since Specialization
Citations

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

Fields of papers citing papers by Abdelkader Behdenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdelkader Behdenna

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

All Works

9 of 9 papers shown
1.
Colange, Maximilien, et al.. (2025). Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose. Scientific Reports. 15(1). 18104–18104. 1 indexed citations
2.
Behdenna, Abdelkader, et al.. (2024). Abstract 1915: A scalable pancancer antigen target discovery platform for precision oncology. Cancer Research. 84(6_Supplement). 1915–1915. 1 indexed citations
3.
Hopcraft, J. Grant C., et al.. (2022). We are what we eat, plus some per mill: Using stable isotopes to estimate diet composition inGypsvultures over space and time. Ecology and Evolution. 12(3). e8726–e8726. 4 indexed citations
4.
Behdenna, Abdelkader, et al.. (2021). A Minimal yet Flexible Likelihood Framework to Assess Correlated Evolution. Systematic Biology. 71(4). 823–838. 4 indexed citations
5.
Behdenna, Abdelkader, Christine Fuhrmann, Cécile Faure‐Conter, et al.. (2021). Trends in bacterial bloodstream infections and resistance in immuno-compromised patients with febrile neutropenia: a retrospective analysis. European Journal of Pediatrics. 180(9). 2921–2930. 16 indexed citations
6.
Broos, Alice, Daniel J. Becker, Abdelkader Behdenna, et al.. (2020). Predicting the presence and titre of rabies virus‐neutralizing antibodies from low‐volume serum samples in low‐containment facilities. Transboundary and Emerging Diseases. 68(3). 1564–1576. 6 indexed citations
7.
Shaw, Andrew E., Joseph Hughes, Quan Gu, et al.. (2017). Fundamental properties of the mammalian innate immune system revealed by multispecies comparison of type I interferon responses. PLoS Biology. 15(12). e2004086–e2004086. 222 indexed citations
8.
Behdenna, Abdelkader, Joël Pothier, Sophie S. Abby, Amaury Lambert, & Guillaume Achaz. (2016). Testing for Independence between Evolutionary Processes. Systematic Biology. 65(5). 812–823. 7 indexed citations
9.
Behdenna, Abdelkader, et al.. (2015). MicNeSs: genotyping microsatellite loci from a collection of (NGS) reads. Molecular Ecology Resources. 16(2). 524–533. 20 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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