Mouna Sahnoun

47 total papers · 908 total citations
34 papers, 590 citations indexed

About

Mouna Sahnoun is a scholar working on Biotechnology, Plant Science and Molecular Biology. According to data from OpenAlex, Mouna Sahnoun has authored 34 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biotechnology, 13 papers in Plant Science and 11 papers in Molecular Biology. Recurrent topics in Mouna Sahnoun's work include Enzyme Production and Characterization (16 papers), Microbial Metabolites in Food Biotechnology (10 papers) and Phytase and its Applications (8 papers). Mouna Sahnoun is often cited by papers focused on Enzyme Production and Characterization (16 papers), Microbial Metabolites in Food Biotechnology (10 papers) and Phytase and its Applications (8 papers). Mouna Sahnoun collaborates with scholars based in Tunisia, Algeria and France. Mouna Sahnoun's co-authors include Samír Béjar, Radhouane Kammoun, Mouna Kriaa, Bassem Jaouadi, Mohamed Ali Triki, Mohammed Sebaihia, Slim Smaoui, Ahmed Ben Hamida, Inès Hammami and Sonia Jemli and has published in prestigious journals such as PLoS ONE, Carbohydrate Polymers and International Journal of Biological Macromolecules.

In The Last Decade

Mouna Sahnoun

33 papers receiving 576 citations

Author Peers

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

Author						Papers	Cites
Mouna Sahnoun	243	205	194	151	106	34	590
Faten A. Mostafa	309 1.3×	144 0.7×	346 1.8×	174 1.2×	86 0.8×	41	673
Chenggang Cai	163 0.7×	191 0.9×	167 0.9×	68 0.5×	285 2.7×	39	610
Yingying Zheng	107 0.4×	167 0.8×	258 1.3×	46 0.3×	31 0.3×	43	672
Kunal Singh	38 0.2×	181 0.9×	222 1.1×	19 0.1×	65 0.6×	30	586
Ting Qiu	58 0.2×	321 1.6×	184 0.9×	32 0.2×	363 3.4×	16	593
Arpita Das	52 0.2×	113 0.6×	99 0.5×	149 1.0×	250 2.4×	45	570
Haiyan Yang	28 0.1×	186 0.9×	193 1.0×	42 0.3×	129 1.2×	27	559
Ying Wu	70 0.3×	148 0.7×	166 0.9×	85 0.6×	200 1.9×	42	516
Seung Hwa Baek	12 0.0×	87 0.4×	163 0.8×	66 0.4×	47 0.4×	43	612
Kevser Karaman	46 0.2×	301 1.5×	78 0.4×	143 0.9×	322 3.0×	44	683

Countries citing papers authored by Mouna Sahnoun

Since Specialization

Citations

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

Fields of papers citing papers by Mouna Sahnoun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mouna Sahnoun

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