Catherine Abrial

2.5k citations
78 papers · 1.7k indexed · h-index 22

Impact in

Papers in

    • Breast Cancer Treatment Studies 44
    • Cancer Treatment and Pharmacology 28
    • HER2/EGFR in Cancer Research 17
    • Cancer Risks and Factors 8
    • Cancer Cells and Metastasis 7

Catherine Abrial

74 papers receiving 1.7k citations

Peers

Catherine Abrial
Comparison fields: 5 of 96
  • Molecular Medicine 284
  • Cancer Research 722
  • Oncology 772
  • Pathology and Forensic Medicine 341
  • Pulmonary and Respiratory Medicine 254
Replace Marie‐Ange Mouret‐Reynier with:
Marie‐Ange Mouret‐Reynier France
Xavier Durando France
Émilie Thivat France
Jia Ma China
M. Lakshmi Kuppusamy United States
Eva Juengel Germany
Valentina Mirisola Italy
Charles Chan Australia
Stephen W. Tuttle United States
Catherine Abrial relative to Marie‐Ange Mouret‐Reynier France Marie‐Ange Mouret‐Reynier's profile →
Citations per field
00.5×1.5×
Marie‐Ange Mouret‐Reynier · 1×
Citations per year

Countries citing papers authored by Catherine Abrial

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Abrial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20234
4 20230
5 201927
6 20171
7 20176
8 2016112
9 201568
10 20152
11 201533
12 201424
13 201119
14 201092
15 20097
16 200868
17 200851
18 20077
19 200639
20 20058

About Catherine Abrial

Catherine Abrial is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (44 papers), Cancer Treatment and Pharmacology (28 papers), HER2/EGFR in Cancer Research (17 papers), Breast Lesions and Carcinomas (12 papers), Advanced Breast Cancer Therapies (11 papers), Cancer Risks and Factors (8 papers), Estrogen and related hormone effects (8 papers) and Cancer Cells and Metastasis (7 papers). The work is most often cited by research in Molecular Medicine (284 citations), Cancer Research (722 citations), Oncology (772 citations), Pathology and Forensic Medicine (341 citations) and Pulmonary and Respiratory Medicine (254 citations). Catherine Abrial has collaborated with scholars based in France, United States and Saudi Arabia. Frequent co-authors include Xavier Durando, P. Chollet, Marie‐Ange Mouret‐Reynier, Frédérique Penault‐Llorca, E. Planchat, Émilie Thivat, Marianne Leheurteur, Fabrice Kwiatkowski, Pierre Gimbergues and Mathilde Bayet‐Robert. Their work appears in journals such as Journal of Clinical Oncology, Oncology, Cancer Research, The Oncologist and Clinical Breast Cancer.

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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