Florence Bardin

1.3k citations
30 papers · 1.0k indexed · h-index 17

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Virus-based gene therapy research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 8
    • Acute Myeloid Leukemia Research 6
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 5

Florence Bardin

30 papers receiving 1.0k citations

Peers

Florence Bardin
Comparison fields: 5 of 86
  • Hematology 422
  • Genetics 161
  • Immunology 275
  • Immunology and Allergy 73
  • Oncology 189
Replace D E Zhang with:
D E Zhang United States
Nuria Mencia-Trinchant United States
Roger A. Fleischman United States
Teresita Díaz de Ståhl Sweden
Brandy Perkins United States
Juli P. Miller United States
Shin-ichi Mizuno Japan
Michael D. Milsom Germany
Raj Sachdev United States
Christine M. Morris New Zealand
Florence Bardin relative to D E Zhang United States D E Zhang's profile →
Citations per field
00.5×3.5×
D E Zhang · 1×
Citations per year

Countries citing papers authored by Florence Bardin

Since Specialization
Citations

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

Fields of papers citing papers by Florence Bardin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 201815
3 201718
4 201731
5 201546
6 201231
7 2011124
8 201149
9 20092
10 200912
11 200740
12 200431
13 20036
14 20024
15 200140
16 199912
17 19995
18 1995150
19 19908
20 198714

About Florence Bardin

Florence Bardin is a scholar working on Hematology, Immunology, Genetics, Immunology and Allergy and Oncology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Virus-based gene therapy research (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (422 citations), Genetics (161 citations), Immunology (275 citations), Immunology and Allergy (73 citations) and Oncology (189 citations). Florence Bardin has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Christian Chabannon, Cécile Tonnelle, P Mannoni, Marc Lopez, F Birg, Sylvie Marchetto, M Courcoul, Michel Aurrand‐Lions, Antonio Tabilio and Daniel Birnbaum. Their work appears in journals such as Blood, The Journal of Immunology, Leukemia, Molecular Therapy and Gene.

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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