Fariza Tahi

81 total papers · 859 total citations
35 papers, 494 citations indexed

About

Fariza Tahi is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Fariza Tahi has authored 35 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Cancer Research and 2 papers in Artificial Intelligence. Recurrent topics in Fariza Tahi's work include RNA and protein synthesis mechanisms (23 papers), RNA modifications and cancer (18 papers) and Genomics and Phylogenetic Studies (10 papers). Fariza Tahi is often cited by papers focused on RNA and protein synthesis mechanisms (23 papers), RNA modifications and cancer (18 papers) and Genomics and Phylogenetic Studies (10 papers). Fariza Tahi collaborates with scholars based in France, Algeria and Switzerland. Fariza Tahi's co-authors include Sébastien Tempel, Farida Zehraoui, Stéfan Engelen, David Israeli, Éric Angel, Van Du T. Tran, Laurence Jeanson-Leh, Mireille Régnier, Nicolas Pollet and Guillaume Postic and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Fariza Tahi

33 papers receiving 483 citations

Author Peers

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

Author						Papers	Cites
Fariza Tahi	384	134	77	31	26	35	494
Li An	237 0.6×	64 0.5×	72 0.9×	44 1.4×	11 0.4×	46	453
Biswajit Das	246 0.6×	152 1.1×	50 0.6×	67 2.2×	16 0.6×	22	473
Jin Hwan	308 0.8×	88 0.7×	39 0.5×	27 0.9×	22 0.8×	26	436
Dimitrios Vitsios	402 1.0×	171 1.3×	59 0.8×	69 2.2×	6 0.2×	24	515
Yury D. Nechipurenko	346 0.9×	65 0.5×	27 0.4×	52 1.7×	74 2.8×	27	468
Yingbo Cui	417 1.1×	29 0.2×	45 0.6×	54 1.7×	19 0.7×	26	507
Roy Ronen	305 0.8×	119 0.9×	64 0.8×	184 5.9×	16 0.6×	16	485
Weizhi Zhang	361 0.9×	69 0.5×	18 0.2×	38 1.2×	7 0.3×	42	523
Serdar Bozdag	259 0.7×	129 1.0×	26 0.3×	24 0.8×	7 0.3×	48	466
Hyunmin Lee	329 0.9×	118 0.9×	34 0.4×	16 0.5×	35 1.3×	34	446

Countries citing papers authored by Fariza Tahi

Since Specialization

Citations

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

Fields of papers citing papers by Fariza Tahi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fariza Tahi

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