Éric Charpentier

2.9k citations
23 papers · 1.1k · h-index 16

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
  • Oncology top 5%
    • Peptidase Inhibition and Analysis
    • PARP inhibition in cancer therapy
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology

Papers in

    • Multiple Myeloma Research and Treatments 10
    • PARP inhibition in cancer therapy 5
    • Peptidase Inhibition and Analysis 4
    • Cancer Treatment and Pharmacology 3

Éric Charpentier

23 papers receiving 1.1k citations

Peers

Éric Charpentier
Comparison fields: 5 of 76
  • Hematology 359
  • Oncology 591
  • Cancer Research 145
  • Physiology 40
  • Immunology 163
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Citations per field
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Citations per year

Countries citing papers authored by Éric Charpentier

Since Specialization
Citations

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

Fields of papers citing papers by Éric Charpentier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014237
2 2011199
3 2017134
4 201972
5 201859
6 201444
7 201641
8 201740
9 202037
10 201432
11 201531
12 201629
13 201527
14 201423
15 201719
16 201416
17 201614
18 201913
19 20169
20 20127

About Éric Charpentier

Éric Charpentier is a scholar working on Hematology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), PARP inhibition in cancer therapy (5 papers), Peptidase Inhibition and Analysis (4 papers), T-cell and B-cell Immunology (3 papers), Cancer Treatment and Pharmacology (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hematology (359 citations), Oncology (591 citations), Cancer Research (145 citations), Physiology (40 citations) and Immunology (163 citations). Éric Charpentier has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Denise A. Yardley, Michael A. Danso, Eric P. Winer, Ravi Vij, Nikoletta Lendvai, Joseph Mıkhael, Rachid Baz, Thomas G. Martin, Karl Hsu and Don M. Benson. Their work appears in journals such as Journal of Clinical Oncology, Blood, Frontiers in Immunology, Circulation Cardiovascular Genetics and European Journal of Human Genetics.

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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