Sana M’hir

20 total papers · 467 total citations
19 papers, 330 citations indexed

About

Sana M’hir is a scholar working on Food Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Sana M’hir has authored 19 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Food Science, 9 papers in Molecular Biology and 9 papers in Nutrition and Dietetics. Recurrent topics in Sana M’hir's work include Probiotics and Fermented Foods (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers) and Microbial Metabolites in Food Biotechnology (6 papers). Sana M’hir is often cited by papers focused on Probiotics and Fermented Foods (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers) and Microbial Metabolites in Food Biotechnology (6 papers). Sana M’hir collaborates with scholars based in Tunisia, Italy and Belgium. Sana M’hir's co-authors include Moktar Hamdi, Lamia Ayed, Raffaella Di Cagno, Mariam Kasmi, Wissem Mnif, Manel Ziadi, Nadia Chammem, Pasquale Filannino, Kaouther Zaafouri and Mokhtar Férid and has published in prestigious journals such as BioMed Research International, Journal of Applied Microbiology and Antioxidants.

In The Last Decade

Sana M’hir

19 papers receiving 320 citations

Author Peers

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

Author						Papers	Cites
Sana M’hir	184	128	114	71	64	19	330
Susann Fischer	128 0.7×	81 0.6×	64 0.6×	72 1.0×	28 0.4×	17	287
K. A. Anu‐Appaiah	236 1.3×	109 0.9×	101 0.9×	74 1.0×	47 0.7×	18	362
Xuefang Guan	162 0.9×	165 1.3×	115 1.0×	56 0.8×	21 0.3×	19	341
Seul-Ah Kim	233 1.3×	169 1.3×	137 1.2×	37 0.5×	36 0.6×	25	357
Audry Peredo-Lovillo	178 1.0×	185 1.4×	116 1.0×	32 0.5×	20 0.3×	17	347
Xiaojuan Zhang	189 1.0×	162 1.3×	54 0.5×	35 0.5×	56 0.9×	21	346
Wenmeng He	249 1.4×	86 0.7×	115 1.0×	45 0.6×	43 0.7×	18	344
Bin Lin	120 0.7×	144 1.1×	126 1.1×	41 0.6×	15 0.2×	22	331
Lu Fengxia	79 0.4×	89 0.7×	78 0.7×	122 1.7×	64 1.0×	18	343
María Elena Sánchez-Pardo	208 1.1×	45 0.4×	190 1.7×	64 0.9×	24 0.4×	21	328

Countries citing papers authored by Sana M’hir

Since Specialization

Citations

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

Fields of papers citing papers by Sana M’hir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sana M’hir. 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 Sana M’hir. The network helps show where Sana M’hir may publish in the future.

Co-authorship network of co-authors of Sana M’hir

This figure shows the co-authorship network connecting the top 25 collaborators of Sana M’hir. A scholar is included among the top collaborators of Sana M’hir 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 Sana M’hir. Sana M’hir 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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