Pascal Jézéquel

4.9k citations
65 papers · 2.4k · h-index 28

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

Pascal Jézéquel

64 papers receiving 2.4k citations

Peers

Pascal Jézéquel
Comparison fields: 5 of 111
  • Cancer Research 528
  • Hematology 294
  • Oncology 636
  • Molecular Biology 1.3k
  • Immunology 260
Replace Kakajan Komurov with:
Kakajan Komurov United States
Keith Orford United States
Wilfried Gouraud France
Catherine Guérin‐Charbonnel France
Randall Schreck United States
Michael Milyavsky Israel
Alessia Ciarrocchi Italy
Sang-Bae Kim United States
Guoxiang Jin China
Barry R. Davies United Kingdom
Pascal Jézéquel relative to Kakajan Komurov United States Kakajan Komurov's profile →
Citations per field
00.5×3.8×
Kakajan Komurov · 1×
Citations per year

Countries citing papers authored by Pascal Jézéquel

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Jézéquel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011317
2 2008270
3 2015232
4 2021134
5 201793
6 202081
7 201279
8 201978
9 200673
10 201370
11 201166
12 201554
13 200953
14 200447
15 201946
16 201644
17 201542
18 202141
19 202240
20 201139

About Pascal Jézéquel

Pascal Jézéquel is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 2.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Ferroptosis and cancer prognosis (6 papers), Gene expression and cancer classification (6 papers), Cystic Fibrosis Research Advances (5 papers), Neonatal Respiratory Health Research (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (528 citations), Hematology (294 citations), Oncology (636 citations), Molecular Biology (1.3k citations) and Immunology (260 citations). Pascal Jézéquel has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Mario Campone, Catherine Guérin‐Charbonnel, Wilfried Gouraud, L. Campion, Gabriel Ricolleau, Hamza Lasla, Delphine Loussouarn, Philippe Juin, Christophe Leux and Sophie Barillé‐Nion. Their work appears in journals such as Breast Cancer Research and Treatment, Cancers, Breast Cancer Research, Journal of Clinical Oncology 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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