François Lassailly

2.4k total citations
17 papers, 1.3k citations indexed

About

François Lassailly is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, François Lassailly has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Hematology and 6 papers in Oncology. Recurrent topics in François Lassailly's work include Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers) and Mesenchymal stem cell research (3 papers). François Lassailly is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers) and Mesenchymal stem cell research (3 papers). François Lassailly collaborates with scholars based in United Kingdom, France and Italy. François Lassailly's co-authors include Dominique Bonnet, Emmanuel Griessinger, Kevin Rouault‐Pierre, Gordon Stamp, Emma Nye, Fernando Anjos‐Afonso, Julian Downward, Katie Foster, Irene Pizzitola and Markus E. Diefenbacher and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Blood.

In The Last Decade

François Lassailly

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
François Lassailly United Kingdom 12 683 419 375 303 170 17 1.3k
Fotis Asimakopoulos United States 20 538 0.8× 557 1.3× 443 1.2× 333 1.1× 194 1.1× 40 1.3k
Kalyani Penta United States 15 955 1.4× 487 1.2× 217 0.6× 271 0.9× 120 0.7× 21 1.6k
Yuexi Shi United States 14 837 1.2× 563 1.3× 251 0.7× 226 0.7× 254 1.5× 27 1.3k
Stephanie Smith‐Berdan United States 13 473 0.7× 460 1.1× 319 0.9× 290 1.0× 186 1.1× 18 1.1k
Cédric Dos Santos United States 16 762 1.1× 571 1.4× 681 1.8× 396 1.3× 76 0.4× 36 1.5k
Björn Schneider Germany 22 502 0.7× 242 0.6× 295 0.8× 137 0.5× 174 1.0× 63 1.2k
Matthew Malehorn United States 4 543 0.8× 404 1.0× 348 0.9× 138 0.5× 122 0.7× 6 896
Jennifer Cain United States 11 671 1.0× 470 1.1× 248 0.7× 181 0.6× 149 0.9× 19 1.1k
Azucena Ramos United States 6 649 1.0× 190 0.5× 432 1.2× 317 1.0× 144 0.8× 9 1.2k
Kumar Sukhdeo United States 12 969 1.4× 565 1.3× 357 1.0× 169 0.6× 199 1.2× 28 1.5k

Countries citing papers authored by François Lassailly

Since Specialization
Citations

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

Fields of papers citing papers by François Lassailly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Lassailly

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

All Works

17 of 17 papers shown
1.
Bellelli, Roberto, Valérie Borel, Clare V. Logan, et al.. (2018). Polε Instability Drives Replication Stress, Abnormal Development, and Tumorigenesis. Molecular Cell. 70(4). 707–721.e7. 59 indexed citations
2.
Passaro, Diana, Alessandro Di Tullio, Ander Abarrategi, et al.. (2017). Increased Vascular Permeability in the Bone Marrow Microenvironment Contributes to Disease Progression and Drug Response in Acute Myeloid Leukemia. Cancer Cell. 32(3). 324–341.e6. 171 indexed citations
3.
Griessinger, Emmanuel, Fernando Anjos‐Afonso, Jacques Vargaftig, et al.. (2016). Frequency and Dynamics of Leukemia-Initiating Cells during Short-term Ex Vivo Culture Informs Outcomes in Acute Myeloid Leukemia Patients. Cancer Research. 76(8). 2082–2086. 19 indexed citations
4.
Passaro, Diana, Alessandro Di Tullio, Ander Abarrategi, et al.. (2016). Increased Vascular Permeability in the Bone Marrow Microenvironment Contributes to Acute Myeloid Leukemia Progression and Drug Response. Blood. 128(22). 2662–2662. 3 indexed citations
5.
Foster, Katie, François Lassailly, Fernando Anjos‐Afonso, et al.. (2015). Different Motile Behaviors of Human Hematopoietic Stem versus Progenitor Cells at the Osteoblastic Niche. Stem Cell Reports. 5(5). 690–701. 17 indexed citations
6.
Pizzitola, Irene, Fernando Anjos‐Afonso, Kevin Rouault‐Pierre, et al.. (2014). Chimeric antigen receptors against CD33/CD123 antigens efficiently target primary acute myeloid leukemia cells in vivo. Leukemia. 28(8). 1596–1605. 225 indexed citations
7.
Griessinger, Emmanuel, Fernando Anjos‐Afonso, Irene Pizzitola, et al.. (2014). A Niche-Like Culture System Allowing the Maintenance of Primary Human Acute Myeloid Leukemia-Initiating Cells: A New Tool to Decipher Their Chemoresistance and Self-Renewal Mechanisms. Stem Cells Translational Medicine. 3(4). 520–529. 81 indexed citations
8.
Murillo, Miguel, Santiago Zelenay, Emma Nye, et al.. (2014). RAS interaction with PI3K p110α is required for tumor-induced angiogenesis. Journal of Clinical Investigation. 124(8). 3601–3611. 66 indexed citations
9.
Castellano, Esther, Clare Sheridan, May Zaw Thin, et al.. (2013). Requirement for Interaction of PI3-Kinase p110α with RAS in Lung Tumor Maintenance. Cancer Cell. 24(5). 617–630. 139 indexed citations
10.
Lassailly, François, Katie Foster, Lourdes López-Onieva, Erin Currie, & Dominique Bonnet. (2013). Multimodal imaging reveals structural and functional heterogeneity in different bone marrow compartments: functional implications on hematopoietic stem cells. Blood. 122(10). 1730–1740. 87 indexed citations
11.
Sheridan, Clare, Esther Castellano, May Zaw Thin, et al.. (2013). Abstract A54: Requirement for interaction of PI 3-kinase p110alpha with Ras in lung tumor maintenance. Cancer Research. 73(19_Supplement). A54–A54. 5 indexed citations
12.
Kumar, Madhu, David C. Hancock, Míriam Molina‐Arcas, et al.. (2012). The GATA2 Transcriptional Network Is Requisite for RAS Oncogene-Driven Non-Small Cell Lung Cancer. Cell. 149(3). 642–655. 215 indexed citations
13.
14.
Gandillet, Arnaud, Sophie Park, François Lassailly, et al.. (2011). Heterogeneous sensitivity of human acute myeloid leukemia to β-catenin down-modulation. Leukemia. 25(5). 770–780. 44 indexed citations
15.
Lassailly, François, Emmanuel Griessinger, & Dominique Bonnet. (2010). “Microenvironmental contaminations” induced by fluorescent lipophilic dyes used for noninvasive in vitro and in vivo cell tracking. Blood. 115(26). 5347–5354. 109 indexed citations
16.
Lassailly, François, Julien Mozziconacci, Tetsuro Noguchi, et al.. (2007). Comparison of a Selection of Rapid Automated DNA and RNA Extraction Technologies for Detection of Somatic or Constitutional Gene Abnormalities in Cancer Diagnosis. 5(1). 2–15. 3 indexed citations
17.
Lassailly, François, et al.. (2004). rhG-CSF does not affect the phenotype of adult donor peripheral blood NK cells. Bone Marrow Transplantation. 35(1). 25–32. 7 indexed citations

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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