Sabrin Tahri

107 total papers · 984 total citations
25 papers, 395 citations indexed

About

Sabrin Tahri is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Sabrin Tahri has authored 25 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 10 papers in Oncology and 8 papers in Immunology. Recurrent topics in Sabrin Tahri's work include Multiple Myeloma Research and Treatments (14 papers), Chemokine receptors and signaling (8 papers) and Acute Myeloid Leukemia Research (6 papers). Sabrin Tahri is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Chemokine receptors and signaling (8 papers) and Acute Myeloid Leukemia Research (6 papers). Sabrin Tahri collaborates with scholars based in Netherlands, United States and Italy. Sabrin Tahri's co-authors include Irene M. Ghobrial, Oliver Lomas, Remco M. Hoogenboezem, Madelon M.E. de Jong, Pieter Sonneveld, Tom Cupedo, Natalie Papazian, Pieter C. van de Woestijne, Annemiek Broijl and Philippe Moreau and has published in prestigious journals such as Nature Genetics, Blood and Nature Immunology.

In The Last Decade

Sabrin Tahri

23 papers receiving 391 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sabrin Tahri 243 185 137 100 60 25 395
Christian Binet 192 0.8× 110 0.6× 94 0.7× 105 1.1× 75 1.3× 22 355
Zhifu Xiang 158 0.7× 176 1.0× 76 0.6× 79 0.8× 78 1.3× 22 354
Stefan O. Peters 187 0.8× 163 0.9× 115 0.8× 66 0.7× 102 1.7× 15 390
Kristian Reckzeh 213 0.9× 201 1.1× 63 0.5× 97 1.0× 72 1.2× 22 417
Henning D. Popp 181 0.7× 141 0.8× 72 0.5× 63 0.6× 84 1.4× 31 434
H. Sovalat 204 0.8× 140 0.8× 75 0.5× 91 0.9× 120 2.0× 21 378
Shokichi Tsukamoto 197 0.8× 108 0.6× 67 0.5× 90 0.9× 63 1.1× 39 378
Gregory W. Roloff 224 0.9× 168 0.9× 79 0.6× 76 0.8× 131 2.2× 27 446
Naoto Nakamichi 93 0.4× 172 0.9× 98 0.7× 89 0.9× 48 0.8× 22 366
Chunji Gao 131 0.5× 202 1.1× 83 0.6× 70 0.7× 124 2.1× 38 379

Countries citing papers authored by Sabrin Tahri

Since Specialization
Citations

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

Fields of papers citing papers by Sabrin Tahri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrin Tahri

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

All Works

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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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