Samir Taoudi

2.1k citations
23 papers · 1.4k · h-index 17

Impact in

    • Zebrafish Biomedical Research Applications
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Platelet Disorders and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 10
    • Platelet Disorders and Treatments 7
    • Blood groups and transfusion 5
    • Zebrafish Biomedical Research Applications 13

Samir Taoudi

22 papers receiving 1.4k citations

Peers

Samir Taoudi
Comparison fields: 5 of 62
  • Cell Biology 918
  • Hematology 542
  • Immunology 430
  • Obstetrics and Gynecology 77
  • Genetics 110
Replace Amanda D. Yzaguirre with:
Amanda D. Yzaguirre United States
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Marian Peeters Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Samir Taoudi

Since Specialization
Citations

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

Fields of papers citing papers by Samir Taoudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samir Taoudi, 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 Samir Taoudi Line = papers co-authored together Samir Taoudi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011285
2 2008219
3 2011191
4 2007152
5 2005106
6 201181
7 201664
8 202053
9 201445
10 202325
11 202325
12 200825
13 202124
14 201522
15 200921
16 201021
17 201916
18 202311
19 20219
20 20218

About Samir Taoudi

Samir Taoudi is a scholar working on Hematology, Cell Biology, Molecular Biology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (13 papers), Hematopoietic Stem Cell Transplantation (10 papers), Platelet Disorders and Treatments (7 papers), Pluripotent Stem Cells Research (5 papers), Blood groups and transfusion (5 papers), Neonatal Respiratory Health Research (4 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cell Biology (918 citations), Hematology (542 citations), Immunology (430 citations), Obstetrics and Gynecology (77 citations) and Genetics (110 citations). Samir Taoudi has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Alexander Medvinsky, Stanislav Rybtsov, Erin B. Taylor, Julie M. Sheridan, Clare Blackburn, Christèle Gonneau, Kate M. Moore, Céline Souilhol, Suling Zhao and Anna Liakhovitskaia. Their work appears in journals such as Blood, Nature Communications, Development, Stem Cell Reports and The Journal of Experimental Medicine.

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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