Sarah Djebali

23.9k total citations
21 papers, 1.0k citations indexed

About

Sarah Djebali is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sarah Djebali has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Sarah Djebali's work include Cancer-related molecular mechanisms research (7 papers), Genomics and Phylogenetic Studies (7 papers) and RNA and protein synthesis mechanisms (6 papers). Sarah Djebali is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Genomics and Phylogenetic Studies (7 papers) and RNA and protein synthesis mechanisms (6 papers). Sarah Djebali collaborates with scholars based in France, United States and Spain. Sarah Djebali's co-authors include Roderic Guigó, T Gingeras, Carrie Davis, M Snyder, David G. Knowles, João Curado, Hagen Tilgner, Sudipto K. Chakrabortty, Rory Johnson and Mark Gerstein and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Sarah Djebali

19 papers receiving 1.0k citations

Peers

Sarah Djebali
Srinka Ghosh United States
Stephen H. Munroe United States
Daniel T. Youmans United States
Noah Spies United States
Mar Gonzàlez-Porta United Kingdom
Sarah Djebali
Citations per year, relative to Sarah Djebali Sarah Djebali (= 1×) peers Huaxia Luo

Countries citing papers authored by Sarah Djebali

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Djebali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Djebali

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Djebali. A scholar is included among the top collaborators of Sarah Djebali 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 Sarah Djebali. Sarah Djebali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chalabi, Smahane, Linda M. P. Loonen, Jos Boekhorst, et al.. (2025). Differences in maternal diet fiber content influence patterns of gene expression and chromatin accessibility in fetuses and piglets. Genomics. 117(2). 110995–110995.
2.
Kim, Jihye, Zhiyu Yang, Simone Rubinacci, et al.. (2025). Polygenic risk score prediction accuracy convergence. Human Genetics and Genomics Advances. 6(3). 100457–100457. 1 indexed citations
3.
Iampietro, Carole, Claire Kuchly, Arnaud Di Franco, et al.. (2023). A Bos taurus sequencing methods benchmark for assembly, haplotyping, and variant calling. Scientific Data. 10(1). 369–369. 5 indexed citations
4.
Aschard, Hugues, et al.. (2023). Enhancer/gene relationships: Need for more reliable genome-wide reference sets. SHILAP Revista de lepidopterología. 3. 1092853–1092853. 2 indexed citations
5.
Aschard, Hugues, et al.. (2023). PaintorPipe: a pipeline for genetic variant fine-mapping using functional annotations. Bioinformatics Advances. 4(1). vbad188–vbad188. 1 indexed citations
6.
Guyomar, Cervin, et al.. (2023). TAGADA: a scalable pipeline to improve genome annotations with RNA-seq data. NAR Genomics and Bioinformatics. 5(4). lqad089–lqad089. 5 indexed citations
7.
Robic, Annie, Thomas Faraut, Katia Fève, et al.. (2021). Correlation Networks Provide New Insights into the Architecture of Testicular Steroid Pathways in Pigs. Genes. 12(4). 551–551. 8 indexed citations
8.
Muret, Kévin, Maria Bernard, Morgane Boutin, et al.. (2021). Author Correction: An integrative atlas of chicken long non-coding genes and their annotations across 25 tissues. Scientific Reports. 11(1). 9463–9463.
9.
Breschi, Alessandra, Manuel Muñoz-Aguirre, Valentin Wucher, et al.. (2020). A limited set of transcriptional programs define major cell types. Genome Research. 30(7). 1047–1059. 22 indexed citations
10.
Muret, Kévin, Maria Bernard, Morgane Boutin, et al.. (2020). An integrative atlas of chicken long non-coding genes and their annotations across 25 tissues. Scientific Reports. 10(1). 20457–20457. 15 indexed citations
11.
Robic, Annie, Thomas Faraut, Sarah Djebali, et al.. (2019). Analysis of pig transcriptomes suggests a global regulation mechanism enabling temporary bursts of circular RNAs. RNA Biology. 16(9). 1190–1204. 17 indexed citations
12.
Muret, Kévin, Christophe Klopp, Valentin Wucher, et al.. (2017). Long noncoding RNA repertoire in chicken liver and adipose tissue. Genetics Selection Evolution. 49(1). 6–6. 57 indexed citations
13.
Rodríguez–Martín, Bernardo, Emilio Palumbo, Santiago Marco‐Sola, et al.. (2017). ChimPipe: accurate detection of fusion genes and transcription-induced chimeras from RNA-seq data. BMC Genomics. 18(1). 7–7. 22 indexed citations
14.
Breschi, Alessandra, Sarah Djebali, Jesse Gillis, et al.. (2016). Gene-specific patterns of expression variation across organs and species. Genome biology. 17(1). 151–151. 55 indexed citations
15.
Djebali, Sarah, Valentin Wucher, Sylvain Foissac, et al.. (2016). Bioinformatics Pipeline for Transcriptome Sequencing Analysis. Methods in molecular biology. 1468. 201–219. 7 indexed citations
16.
Teng, Mingxiang, Michael I. Love, Carrie Davis, et al.. (2016). A benchmark for RNA-seq quantification pipelines. Genome biology. 17(1). 74–74. 112 indexed citations
17.
Djebali, Sarah, Santiago González, Oscar Flores, et al.. (2013). Unravelling the hidden DNA structural/physical code provides novel insights on promoter location. Nucleic Acids Research. 41(15). 7220–7230. 10 indexed citations
18.
Cheng, Chao, Roger P. Alexander, Renqiang Min, et al.. (2012). Understanding transcriptional regulation by integrative analysis of transcription factor binding data. Genome Research. 22(9). 1658–1667. 136 indexed citations
19.
Tilgner, Hagen, David G. Knowles, Rory Johnson, et al.. (2012). Deep sequencing of subcellular RNA fractions shows splicing to be predominantly co-transcriptional in the human genome but inefficient for lncRNAs. Genome Research. 22(9). 1616–1625. 342 indexed citations
20.
Djebali, Sarah, et al.. (2006). Exogean: a framework for annotating protein-coding genes in eukaryotic genomic DNA. Genome biology. 7(S1). S7.1–10. 10 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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