Léa Bernard

866 citations
42 papers · 232 · h-index 9

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • CAR-T cell therapy research

Papers in

    • Hematopoietic Stem Cell Transplantation 15
    • Acute Myeloid Leukemia Research 9
    • Multiple Myeloma Research and Treatments 8
    • CAR-T cell therapy research 6

Léa Bernard

37 papers receiving 227 citations

Peers

Léa Bernard
Comparison fields: 5 of 51
  • Hematology 111
  • Oncology 97
  • Genetics 26
  • Pathology and Forensic Medicine 35
  • Immunology 32
Replace Anne‐Lise Ménard with:
Anne‐Lise Ménard France
Pilar Martínez‐Sánchez Spain
Federico Monaco Italy
Lewis Nasr United States
Katia Girardi Italy
Daniel Ribeiro Portugal
Wendy Covert United States
Naïs Prade France
Maria Khouri United States
Xinquan Liang China
Léa Bernard relative to Anne‐Lise Ménard France Anne‐Lise Ménard's profile →
Citations per field
00.5×1.5×1.9×
Anne‐Lise Ménard · 1×
Citations per year

Countries citing papers authored by Léa Bernard

Since Specialization
Citations

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

Fields of papers citing papers by Léa Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201258
2 202316
3 202016
4 201915
5 201914
6 201311
7 201210
8 20238
9 20198
10 20228
11 20207
12 20216
13 20225
14 20204
15 20244
16 20233
17 20183
18 20253
19 20213
20 20173

About Léa Bernard

Léa Bernard is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 42 papers that have together received 232 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), Acute Myeloid Leukemia Research (9 papers), Multiple Myeloma Research and Treatments (8 papers), CAR-T cell therapy research (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Mesenchymal stem cell research (6 papers), Lymphoma Diagnosis and Treatment (5 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Hematology (111 citations), Oncology (97 citations), Genetics (26 citations), Pathology and Forensic Medicine (35 citations) and Immunology (32 citations). Léa Bernard has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Thomas Kiss, Imran Ahmad, Jean Roy, Guy Sauvageau, Sandra Cohen, Denis‐Claude Roy, Silvy Lachance, Jean‐Sébastien Delisle, Nadia M. Bambace and Lambert Busque. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Transplantation and Cellular Therapy, Transfusion and British Journal of Haematology.

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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