Nadia El-Mabrouk

117 total papers · 1.9k total citations
52 papers, 800 citations indexed

About

Nadia El-Mabrouk is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Nadia El-Mabrouk has authored 52 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 26 papers in Genetics and 17 papers in Plant Science. Recurrent topics in Nadia El-Mabrouk's work include Genomics and Phylogenetic Studies (43 papers), Genome Rearrangement Algorithms (22 papers) and Chromosomal and Genetic Variations (16 papers). Nadia El-Mabrouk is often cited by papers focused on Genomics and Phylogenetic Studies (43 papers), Genome Rearrangement Algorithms (22 papers) and Chromosomal and Genetic Variations (16 papers). Nadia El-Mabrouk collaborates with scholars based in Canada, France and Italy. Nadia El-Mabrouk's co-authors include David Sankoff, Denis Bertrand, Manuel Lafond, Mathieu Lajoie, Cédric Chauve, Krister M. Swenson, Frédérique Lisacek, Isidro Hötzel, Éric Tannier and Valgerður Andrésdóttir and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Nadia El-Mabrouk

50 papers receiving 788 citations

Author Peers

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

Author						Papers	Cites
Nadia El-Mabrouk	607	365	290	94	90	52	800
Max De Wilde	611 1.0×	133 0.4×	231 0.8×	78 0.8×	63 0.7×	32	978
Wei Sun	404 0.7×	260 0.7×	354 1.2×	38 0.4×	22 0.2×	75	888
John D. Osborne	427 0.7×	118 0.3×	90 0.3×	209 2.2×	101 1.1×	33	826
William Arndt	651 1.1×	149 0.4×	284 1.0×	152 1.6×	14 0.2×	21	1.0k
LaDeana Hillier	587 1.0×	200 0.5×	208 0.7×	17 0.2×	37 0.4×	14	874
Xosé M. Fernández	638 1.1×	203 0.6×	59 0.2×	40 0.4×	83 0.9×	42	1.0k
Long Ma	436 0.7×	137 0.4×	148 0.5×	16 0.2×	16 0.2×	57	986
Carsten Kemena	654 1.1×	372 1.0×	133 0.5×	8 0.1×	55 0.6×	20	957
W. C. Barker	531 0.9×	97 0.3×	79 0.3×	30 0.3×	34 0.4×	20	700
Liang Tang	359 0.6×	243 0.7×	174 0.6×	8 0.1×	56 0.6×	103	855

Countries citing papers authored by Nadia El-Mabrouk

Since Specialization

Citations

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

Fields of papers citing papers by Nadia El-Mabrouk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia El-Mabrouk

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia El-Mabrouk. A scholar is included among the top collaborators of Nadia El-Mabrouk 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 El-Mabrouk. Nadia El-Mabrouk 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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