François Lassailly

2.4k citations
18 papers · 1.3k · h-index 12

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 5%
    • CAR-T cell therapy research

Papers in

François Lassailly

17 papers receiving 1.3k citations

Peers

François Lassailly
Comparison fields: 5 of 68
  • Hematology 356
  • Oncology 400
  • Immunology 275
  • Genetics 122
  • Cancer Research 160
Replace Kevin Rouault‐Pierre with:
Kevin Rouault‐Pierre United Kingdom
Fotis Asimakopoulos United States
Ken Maes Belgium
Yuexi Shi United States
Abdullah Mahmood Ali United States
Mu Hao China
Isabelle Vande Broek Belgium
Armando G. Poeppl Canada
Cédric Dos Santos United States
Jeffrey W. Schindler United States
François Lassailly relative to Kevin Rouault‐Pierre United Kingdom Kevin Rouault‐Pierre's profile →
Citations per field
00.5×1.5×1.9×
Kevin Rouault‐Pierre · 1×
Citations per year

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-authors

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

All Works

18 of 18 papers shown
#Work
1 2014226
2 2012216
3 2017177
4 2013140
5 2010109
6 201387
7 201482
8 201467
9 201861
10 201145
11 201620
12 201517
13 20047
14 20135
15 20073
16 20163
17 20121
18 20060

About François Lassailly

François Lassailly is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Genetics, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers), Cancer-related Molecular Pathways (3 papers), Mesenchymal stem cell research (3 papers), Cancer Genomics and Diagnostics (2 papers), T-cell and B-cell Immunology (2 papers), Cancer Cells and Metastasis (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (356 citations), Oncology (400 citations), Immunology (275 citations), Genetics (122 citations) and Cancer Research (160 citations). François Lassailly has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include Dominique Bonnet, Emmanuel Griessinger, Kevin Rouault‐Pierre, Gordon Stamp, Emma Nye, Fernando Anjos‐Afonso, Julian Downward, Katie Foster, Irene Pizzitola and Madhu Kumar. Their work appears in journals such as Blood, Leukemia, Cancer Research, Cancer Cell and Molecular Cell.

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.

Explore authors with similar magnitude of impact