Fariza Tahi

869 total citations
35 papers, 502 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 502 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, Guillaume Postic, Sahar Ghannay and Mireille Régnier and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Fariza Tahi

33 papers receiving 491 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fariza Tahi France	13	391	134	77	31	26	35	502
Ferhat Alkan Denmark	11	494 1.3×	102 0.8×	29 0.4×	65 2.1×	13 0.5×	18	573
Pierre Mazière France	8	516 1.3×	227 1.7×	36 0.5×	50 1.6×	9 0.3×	9	704
Adam McDermaid United States	11	465 1.2×	87 0.6×	105 1.4×	42 1.4×	11 0.4×	16	655
Hsien-Da Huang Taiwan	7	642 1.6×	254 1.9×	72 0.9×	60 1.9×	15 0.6×	8	737
Serdar Bozdag United States	13	260 0.7×	129 1.0×	26 0.3×	24 0.8×	7 0.3×	48	471
Sergey Nemzer Israel	5	551 1.4×	165 1.2×	60 0.8×	66 2.1×	5 0.2×	6	627
María Elena Ochagavia Cuba	7	247 0.6×	32 0.2×	59 0.8×	23 0.7×	19 0.7×	15	460
Stephanie Fulmer-Smentek United States	4	405 1.0×	147 1.1×	25 0.3×	74 2.4×	11 0.4×	5	542
Debra L. Fulton Canada	8	355 0.9×	54 0.4×	31 0.4×	55 1.8×	24 0.9×	8	451
Richard Shippy United States	6	454 1.2×	61 0.5×	21 0.3×	53 1.7×	14 0.5×	9	589

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zehraoui, Farida, et al.. (2025). MMnc: multi-modal interpretable representation for non-coding RNA classification and class annotation. Bioinformatics. 41(3).

Postic, Guillaume, et al.. (2025). Has AlphaFold 3 achieved success for RNA?. Acta Crystallographica Section D Structural Biology. 81(2). 49–62. 10 indexed citations

Postic, Guillaume, et al.. (2024). RNAdvisor: a comprehensive benchmarking tool for the measure and prediction of RNA structural model quality. Briefings in Bioinformatics. 25(2). 7 indexed citations

Postic, Guillaume, et al.. (2024). State-of-the-RNArt: benchmarking current methods for RNA 3D structure prediction. NAR Genomics and Bioinformatics. 6(2). lqae048–lqae048. 11 indexed citations

Postic, Guillaume, et al.. (2023). IRSOM2: a web server for predicting bifunctional RNAs. Nucleic Acids Research. 51(W1). W281–W288. 2 indexed citations

Angel, Éric, et al.. (2023). Prediction of Secondary Structure for Long Non-Coding RNAs using a Recursive Cutting Method based on Deep Learning. 14–21.

Zehraoui, Farida, et al.. (2023). A3SOM, abstained explainable semi-supervised neural network based on self-organizing map. PLoS ONE. 18(5). e0286137–e0286137. 3 indexed citations

Angel, Éric, et al.. (2020). BiORSEO: a bi-objective method to predict RNA secondary structures with pseudoknots using RNA 3D modules. Bioinformatics. 36(8). 2451–2457. 1 indexed citations

Angel, Éric, et al.. (2019). RCPred: RNA complex prediction as a constrained maximum weight clique problem. BMC Bioinformatics. 20(S3). 128–128. 4 indexed citations

10.

Batouche, Mohamed, et al.. (2019). A Novel Integrative Approach for Non-coding RNA Classification Based on Deep Learning. Current Bioinformatics. 15(4). 338–348. 8 indexed citations

11.

Angel, Éric, et al.. (2018). Bi-objective integer programming for RNA secondary structure prediction with pseudoknots. BMC Bioinformatics. 19(1). 13–13. 16 indexed citations

12.

Zehraoui, Farida, Adnane Boualem, Mohamed Batouche, et al.. (2017). IpiRId: Integrative approach for piRNA prediction using genomic and epigenomic data. PLoS ONE. 12(6). e0179787–e0179787. 15 indexed citations

13.

Tahi, Fariza, et al.. (2017). In Silico Prediction of RNA Secondary Structure. Methods in molecular biology. 1543. 145–168. 7 indexed citations

14.

Tempel, Sébastien, et al.. (2016). miRNAFold: a web server for fast miRNA precursor prediction in genomes. Nucleic Acids Research. 44(W1). W181–W184. 63 indexed citations

15.

Tran, Van Du T., et al.. (2015). miRBoost: boosting support vector machines for microRNA precursor classification. RNA. 21(5). 775–785. 31 indexed citations

16.

Tempel, Sébastien, Nicolas Pollet, & Fariza Tahi. (2012). ncRNAclassifier: a tool for detection and classification of transposable element sequences in RNA hairpins. BMC Bioinformatics. 13(1). 246–246. 21 indexed citations

17.

Tempel, Sébastien, Christine Rousseau, Fariza Tahi, & Jacques Nicolas. (2010). ModuleOrganizer: detecting modules in families of transposable elements. BMC Bioinformatics. 11(1). 474–474. 6 indexed citations

18.

Engelen, Stéfan & Fariza Tahi. (2007). Predicting RNA secondary structure by the comparative approach: how to select the homologous sequences. BMC Bioinformatics. 8(1). 464–464. 8 indexed citations

19.

Tahi, Fariza, Manolo Gouy, & Mireille Régnier. (2002). Automatic RNA secondary structure prediction with a comparative approach. Computers & Chemistry. 26(5). 521–530. 16 indexed citations

20.

Piétu, Geneviève, Régine Mariage‐Samson, Éric Eveno, et al.. (1999). The Genexpress IMAGE Knowledge Base of the Human Brain Transcriptome: A Prototype Integrated Resource for Functional and Computational Genomics. Genome Research. 9(2). 195–209. 47 indexed citations

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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