Samir Taoudi
Impact in
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Hematology 17
- Hematopoietic Stem Cell Transplantation 10
- Platelet Disorders and Treatments 7
- Blood groups and transfusion 5
- Cell Biology 13
- Zebrafish Biomedical Research Applications 13
- Co-authors
- Alexander MedvinskyStanislav RybtsovErin B. TaylorClare BlackburnJulie M. SheridanKate M. MooreSuling ZhaoCéline Souilhol
- Journals
- Blood (5 papers)Nature Communications (2 papers)The Journal of Experimental Medicine (2 papers)Development (2 papers)Stem Cell Reports (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Samir Taoudi
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 62
- Cell Biology 927
- Hematology 546
- Immunology 439
- Genetics 117
- Molecular Biology 733
Countries citing papers authored by Samir Taoudi
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 49 | |
| 10 | 2019 | 15 | |
| 11 | 2016 | 63 | |
| 12 | 2015 | 21 | |
| 13 | 2011 | 188 | |
| 14 | 2011 | 80 | |
| 15 | 2011 | 282 | |
| 16 | 2010 | 21 | |
| 17 | 2009 | 20 | |
| 18 | 2008 | 215 | |
| 19 | 2007 | 151 | |
| 20 | 2005 | 105 |
About Samir Taoudi
Samir Taoudi is a scholar working on Hematology, Cell Biology, Nephrology, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine, 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), Blood groups and transfusion (5 papers), Pluripotent Stem Cells Research (5 papers), Neonatal Respiratory Health Research (4 papers), Single-cell and spatial transcriptomics (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Cell Biology (927 citations), Hematology (546 citations), Immunology (439 citations), Genetics (117 citations) and Molecular Biology (733 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, Clare Blackburn, Julie M. Sheridan, Kate M. Moore, Suling Zhao, Céline Souilhol, Anna Liakhovitskaia and Andrejs Ivanovs. Their work appears in journals such as Blood, Nature Communications, The Journal of Experimental Medicine, Development and Stem Cell Reports.
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.