Françoise Norol

79 total papers · 2.4k total citations
53 papers, 1.8k citations indexed

About

Françoise Norol is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Françoise Norol has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Hematology, 19 papers in Genetics and 10 papers in Immunology. Recurrent topics in Françoise Norol's work include Hematopoietic Stem Cell Transplantation (16 papers), Blood groups and transfusion (13 papers) and Platelet Disorders and Treatments (12 papers). Françoise Norol is often cited by papers focused on Hematopoietic Stem Cell Transplantation (16 papers), Blood groups and transfusion (13 papers) and Platelet Disorders and Treatments (12 papers). Françoise Norol collaborates with scholars based in France, United States and Switzerland. Françoise Norol's co-authors include William Vainchenker, Najet Debili, Elisabeth M. Cramer, J Guichard, N. Duédari, Jean‐Paul Vernant, Natacha Vitrat, Xavier Holy, David Klatzmann and Frédéric Charlotte and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Françoise Norol

50 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Françoise Norol 834 624 430 322 307 53 1.8k
ED Zanjani 1.1k 1.3× 702 1.1× 476 1.1× 484 1.5× 167 0.5× 75 2.0k
Laura Porretti 353 0.4× 472 0.8× 837 1.9× 275 0.9× 347 1.1× 72 2.1k
Patrick Hervé 647 0.8× 433 0.7× 426 1.0× 453 1.4× 280 0.9× 55 1.8k
Jonathan N. Thon 1.3k 1.6× 266 0.4× 597 1.4× 330 1.0× 254 0.8× 40 2.3k
Yuji Kishimoto 643 0.8× 716 1.1× 1.3k 3.1× 171 0.5× 707 2.3× 69 2.3k
Yuji Yonemura 890 1.1× 332 0.5× 389 0.9× 554 1.7× 124 0.4× 85 1.7k
JW Adamson 1.2k 1.5× 571 0.9× 382 0.9× 355 1.1× 143 0.5× 55 1.8k
Marie‐Catherine Giarratana 619 0.7× 494 0.8× 749 1.7× 236 0.7× 336 1.1× 36 1.9k
Ryuichi Kamiyama 658 0.8× 270 0.4× 549 1.3× 373 1.2× 194 0.6× 75 1.8k
G D Wilner 1.1k 1.3× 326 0.5× 364 0.8× 208 0.6× 275 0.9× 36 2.3k

Countries citing papers authored by Françoise Norol

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Norol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Norol

This figure shows the co-authorship network connecting the top 25 collaborators of Françoise Norol. A scholar is included among the top collaborators of Françoise Norol 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 Françoise Norol. Françoise Norol 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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