Arnaud Jacquel

4.9k citations
87 papers · 4.1k · h-index 37

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Immunology top 5%
    • Phagocytosis and Immune Regulation
    • Immune cells in cancer

Papers in

    • Chronic Myeloid Leukemia Treatments 15
    • Acute Myeloid Leukemia Research 13
    • Chronic Lymphocytic Leukemia Research 13

Arnaud Jacquel

85 papers receiving 4.0k citations

Peers

Arnaud Jacquel
Comparison fields: 5 of 120
  • Hematology 821
  • Immunology 898
  • Genetics 382
  • Cancer Research 477
  • Molecular Biology 2.2k
Replace Takayuki Hoshii with:
Takayuki Hoshii Japan
Priscilla N. Kelly Australia
Alexandre Puissant France
Steffan T. Nawrocki United States
Ulrich Maurer Germany
Lucilla Luzi Italy
Gemma L. Kelly Australia
Giovanna Tabellini Italy
Stefan Balabanov Germany
Hongzhi Z. Miao United States
Arnaud Jacquel relative to Takayuki Hoshii Japan Takayuki Hoshii's profile →
Citations per field
00.5×1.6×
Takayuki Hoshii · 1×
Citations per year

Countries citing papers authored by Arnaud Jacquel

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Jacquel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003416
2 2013251
3 2018161
4 2004153
5 2019151
6 2012127
7 2003110
8 2006107
9 2011106
10 201699
11 201195
12 201190
13 201589
14 200983
15 201582
16 201274
17 200572
18 200671
19 200969
20 200368

About Arnaud Jacquel

Arnaud Jacquel is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Cell Biology, having authored 87 papers that have together received 4.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (15 papers), Cell death mechanisms and regulation (14 papers), Chronic Lymphocytic Leukemia Research (13 papers), Acute Myeloid Leukemia Research (13 papers), Autophagy in Disease and Therapy (10 papers), Immune cells in cancer (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Phagocytosis and Immune Regulation (7 papers). The work is most often cited by research in Hematology (821 citations), Immunology (898 citations), Genetics (382 citations), Cancer Research (477 citations) and Molecular Biology (2.2k citations). Arnaud Jacquel has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Patrick Auberger, Frédéric Luciano, Pascal Colosetti, Guillaume Robert, Magali Herrant, Nathalie Belhacène, Gilles Pagès, Éric Solary, Alexandre Puissant and Sébastien Cagnol. Their work appears in journals such as Oncotarget, Blood, Oncogene, Leukemia and Autophagy.

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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