Saida Benomar

26 total papers · 1.2k total citations
12 papers, 883 citations indexed

About

Saida Benomar is a scholar working on Molecular Biology, Biotechnology and Plant Science. According to data from OpenAlex, Saida Benomar has authored 12 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Biotechnology and 3 papers in Plant Science. Recurrent topics in Saida Benomar's work include Bacterial biofilms and quorum sensing (4 papers), Microbial Metabolism and Applications (3 papers) and Microbial Fuel Cells and Bioremediation (2 papers). Saida Benomar is often cited by papers focused on Bacterial biofilms and quorum sensing (4 papers), Microbial Metabolism and Applications (3 papers) and Microbial Fuel Cells and Bioremediation (2 papers). Saida Benomar collaborates with scholars based in United States and France. Saida Benomar's co-authors include Josephine R. Chandler, Ajai A. Dandekar, Rhea G. Abisado, Jennifer R. Klaus, Jérôme Hamelin, Éric Trably, Jean‐Philippe Steyer, Marie‐Thérèse Giudici‐Orticoni, Yan Rafrafi and Marı́a Luz Cárdenas and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Saida Benomar

12 papers receiving 872 citations

Hit Papers

Bacterial Quorum Sensing ... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Saida Benomar 507 151 132 120 104 12 883
Clemente I. Montero 452 0.9× 145 1.0× 98 0.7× 69 0.6× 38 0.4× 18 756
Jörg Schuldes 319 0.6× 204 1.4× 79 0.6× 92 0.8× 180 1.7× 19 783
Marcus Dröge 336 0.7× 176 1.2× 104 0.8× 151 1.3× 97 0.9× 7 732
Shannon B. Conners 653 1.3× 176 1.2× 174 1.3× 95 0.8× 26 0.3× 21 1.0k
L Montgomery 464 0.9× 332 2.2× 140 1.1× 74 0.6× 28 0.3× 10 1.1k
Haythem Latif 780 1.5× 83 0.5× 329 2.5× 108 0.9× 68 0.7× 13 1.1k
Stephen J. Hall 207 0.4× 104 0.7× 94 0.7× 62 0.5× 94 0.9× 29 742
Mohammed Dwidar 681 1.3× 115 0.8× 267 2.0× 41 0.3× 212 2.0× 32 997
Kai Shyang Koh 620 1.2× 188 1.2× 75 0.6× 25 0.2× 143 1.4× 8 973
Yvonne A. Lipsewers 321 0.6× 307 2.0× 86 0.7× 39 0.3× 43 0.4× 9 1.0k

Countries citing papers authored by Saida Benomar

Since Specialization
Citations

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

Fields of papers citing papers by Saida Benomar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saida Benomar

This figure shows the co-authorship network connecting the top 25 collaborators of Saida Benomar. A scholar is included among the top collaborators of Saida Benomar 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 Saida Benomar. Saida Benomar 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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