Fanny Rialland

1.8k citations
87 papers · 1.3k · h-index 20

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders

Papers in

Fanny Rialland

75 papers receiving 1.3k citations

Peers

Fanny Rialland
Comparison fields: 5 of 71
  • Hematology 628
  • Immunology 285
  • Genetics 139
  • Oncology 339
  • Transplantation 31
Replace Bénédicte Bruno with:
Bénédicte Bruno France
Irene García‐Cadenas Spain
Manuel Abecasis Portugal
Nina K. Steckel Germany
Daniel Stachel Germany
Arjun Law Canada
Jolanta Goździk Poland
Ben Carpenter United Kingdom
Ming Yan Jiang China
Mareike Verbeek Germany
Fanny Rialland relative to Bénédicte Bruno France Bénédicte Bruno's profile →
Citations per field
00.5×1.5×
Bénédicte Bruno · 1×
Citations per year

Countries citing papers authored by Fanny Rialland

Since Specialization
Citations

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

Fields of papers citing papers by Fanny Rialland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2 201489
3 201685
4 200968
5 202265
6 202258
7 201955
8 201648
9 201846
10 202141
11 201539
12 201739
13 201436
14 201534
15 200931
16 202030
17 201728
18 202122
19 201821
20 201120

About Fanny Rialland

Fanny Rialland is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Oncology and Pediatrics, Perinatology and Child Health, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (37 papers), Acute Lymphoblastic Leukemia research (35 papers), Acute Myeloid Leukemia Research (26 papers), CAR-T cell therapy research (10 papers), Childhood Cancer Survivors' Quality of Life (10 papers), Transplantation: Methods and Outcomes (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Chronic Myeloid Leukemia Treatments (6 papers). The work is most often cited by research in Hematology (628 citations), Immunology (285 citations), Genetics (139 citations), Oncology (339 citations) and Transplantation (31 citations). Fanny Rialland has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Patrice Chevallier, Mohamad Mohty, Thierry A. Guillaume, Philippe Moreau, Virginie Gandemer, Claire Galambrun, Lucie Planche, Marianne Coste‐Burel, Thomas Gastinne and Nicolas Pétur Blin. Their work appears in journals such as Bone Marrow Transplantation, Blood, Transplantation and Cellular Therapy, British Journal of Haematology and Haematologica.

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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