Samira Chabab

674 citations
6 papers · 448 · h-index 5

Impact in

    • Congenital heart defects research
    • Pluripotent Stem Cells Research
    • RNA modifications and cancer
    • Developmental Biology and Gene Regulation
    • Single-cell and spatial transcriptomics
    • CRISPR and Genetic Engineering

Papers in

    • Congenital heart defects research 5
    • Pluripotent Stem Cells Research 2
    • Single-cell and spatial transcriptomics 1
    • Gene Regulatory Network Analysis 1

Samira Chabab

6 papers receiving 442 citations

Peers

Samira Chabab
Comparison fields: 5 of 63
  • Molecular Biology 402
  • Cell Biology 42
  • Surgery 112
  • Cancer Research 37
  • Epidemiology 66
Replace Cassandra R. Farthing with:
Cassandra R. Farthing United Kingdom
Juliane Münch Germany
Robert David Germany
Laurent Dupays United Kingdom
Lucia Carlucci Italy
Harold E. Olivey United States
Céline Vivien France
Delicia Z Sheng Australia
Christine M. Liberatore United States
Malgorzata E. Quinn United States
Samira Chabab relative to Cassandra R. Farthing United Kingdom Cassandra R. Farthing's profile →
Citations per field
00.5×10.5×
Cassandra R. Farthing · 1×
Citations per year

Countries citing papers authored by Samira Chabab

Since Specialization
Citations

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

Fields of papers citing papers by Samira Chabab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Samira Chabab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samira Chabab Line = papers co-authored together Samira Chabab links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2014212
2 2011101
3 201565
4 201640
5 201828
6 20112

About Samira Chabab

Samira Chabab is a scholar working on Molecular Biology, Surgery, Epidemiology, Cell Biology and Genetics, having authored 6 papers that have together received 448 indexed citations. Recurring topics across this work include Congenital heart defects research (5 papers), Pluripotent Stem Cells Research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Single-cell and spatial transcriptomics (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Gene Regulatory Network Analysis (1 paper) and Congenital Heart Disease Studies (1 paper). The work is most often cited by research in Molecular Biology (402 citations), Cell Biology (42 citations), Surgery (112 citations), Cancer Research (37 citations) and Epidemiology (66 citations). Samira Chabab has collaborated with scholars based in Belgium, United Kingdom and Australia. Frequent co-authors include Cédric Blanpain, Fabienne Lescroart, Catherine Paulissen, Antoine Bondue, Benjamin D. Simons, Steffen Rulands, Xionghui Lin, Christine Dubois, Annie Rodolosse and Younès Achouri. Their work appears in journals such as The Journal of Cell Biology, Nature Cell Biology, The Journal of Experimental Medicine, Cell Reports and Nature Physics.

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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