Benjamin Uzan

1.4k citations
27 papers · 793 · h-index 16

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • CAR-T cell therapy research

Papers in

    • Receptor Mechanisms and Signaling 3
    • Metabolism, Diabetes, and Cancer 2
    • Hematopoietic Stem Cell Transplantation 5
    • Chronic Myeloid Leukemia Treatments 3

Benjamin Uzan

27 papers receiving 790 citations

Peers

Benjamin Uzan
Comparison fields: 5 of 75
  • Hematology 113
  • Oncology 183
  • Immunology 120
  • Radiation 52
  • Cancer Research 75
Replace Maria D’Souza with:
Maria D’Souza India
Christina Evers Germany
Thomas Flannery United States
Kimberley S. Mak United States
Karin Tran‐Lundmark Sweden
Matthew M. Roforth United States
Kenji Hashimoto Japan
Norio Yamakawa Japan
Olaug K. Rødningen Norway
So Young Chong South Korea
Benjamin Uzan relative to Maria D’Souza India Maria D’Souza's profile →
Citations per field
00.5×8.7×
Maria D’Souza · 1×
Citations per year

Countries citing papers authored by Benjamin Uzan

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Uzan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201992
2 202088
3 200567
4 200954
5 201452
6 200647
7 201745
8 200945
9 200439
10 200736
11 200632
12 201731
13 201931
14 201430
15 202123
16 201021
17 201914
18 201113
19 201910
20 20188

About Benjamin Uzan

Benjamin Uzan is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Immunology and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 793 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Acute Lymphoblastic Leukemia research (7 papers), Neuropeptides and Animal Physiology (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Receptor Mechanisms and Signaling (3 papers), CAR-T cell therapy research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Hematology (113 citations), Oncology (183 citations), Immunology (120 citations), Radiation (52 citations) and Cancer Research (75 citations). Benjamin Uzan has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Hang‐Korng Ea, Françoise Pflumio, M. Cressent, Frédéric Lioté, Jamileh Movassat, Bernard Portha, Florence Figeac, Julien Calvo, Christian Rey and Jean‐Michel Garel. Their work appears in journals such as Blood Advances, Biomedicine & Pharmacotherapy, Leukemia, Arthritis Research & Therapy and Cell stem 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.

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