Benjamin Hébraud

2.0k citations
26 papers · 531 · h-index 10

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 19
    • Cancer Treatment and Pharmacology 4
    • Peptidase Inhibition and Analysis 3

Benjamin Hébraud

24 papers receiving 527 citations

Peers

Benjamin Hébraud
Comparison fields: 5 of 50
  • Hematology 209
  • Rheumatology 156
  • Genetics 80
  • Oncology 122
  • Immunology 92
Replace Sandrine Hayette with:
Sandrine Hayette France
Berit Størdal Norway
Les Coulton United Kingdom
Mónica Ventura Ferreira Germany
Bernadette Guerton France
Oddrun Elise Olsen Norway
Marie‐Laure Bonnet France
Tina Rasper Germany
Leonardo Boiocchi United States
Paulina M. H. van Strien Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Hébraud

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Hébraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013160
2 201277
3 201873
4 201960
5 202025
6 202122
7 201817
8 201716
9 201716
10 200814
11 20146
12 20206
13 20156
14 20235
15 20195
16 20214
17 20184
18 20194
19 20164
20 20233

About Benjamin Hébraud

Benjamin Hébraud is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 26 papers that have together received 531 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), Protein Degradation and Inhibitors (4 papers), Cancer Treatment and Pharmacology (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Peptidase Inhibition and Analysis (3 papers), Histone Deacetylase Inhibitors Research (2 papers) and Macrophage Migration Inhibitory Factor (2 papers). The work is most often cited by research in Hematology (209 citations), Rheumatology (156 citations), Genetics (80 citations), Oncology (122 citations) and Immunology (92 citations). Benjamin Hébraud has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Jill Corre, Philippe Bourin, Michel Attal, Murielle Roussel, Hervé Avet‐Loiseau, Philippe Moreau, Xavier Leleu, Thierry Façon, Mélanie Gadelorge and Nicolas Espagnolle. Their work appears in journals such as Blood, Journal of Clinical Oncology, Frontiers in Physiology, Clinical Kidney Journal and Cancer Research.

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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