Isabelle Aerts

118 papers receiving 2.5k citations

Isabelle Aerts's Hit Papers

Dabrafenib plus Trametinib in Pediatric Glioma with BRAF V600 Mutations 2023 · 125 citations
1250+1+2Years since publication4080120

Peers

Isabelle Aerts
Comparison fields: 5 of 98
  • Ophthalmology 795
  • Genetics 695
  • Neurology 564
  • Oncology 761
  • Cancer Research 306
Replace Michael N. Needle with:
Michael N. Needle United States
Marion Gauthier‐Villars France
Torsten Pietsch Germany
P N Plowman United Kingdom
Regina I. Jakacki United States
Masao Matsutani Japan
John L. Hungerford United Kingdom
David W. Kimmel United States
David Brachman United States
Laëtitia Padovani France
Isabelle Aerts relative to Michael N. Needle United States Michael N. Needle's profile →
Citations per field
00.5×3.2×
Michael N. Needle · 1×
Citations per year

Countries citing papers authored by Isabelle Aerts

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Aerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011165
2 2006133
3 2017130
4
Dabrafenib plus Trametinib in Pediatric Glioma with BRAF V600 Mutations
Hit paper breakdown →
2023125
5 2010120
6 202289
7 200967
8 200764
9 200464
10 200860
11 201958
12 201344
13 201243
14 201041
15 201340
16 200539
17 201339
18 202136
19 201036
20 201534

About Isabelle Aerts

Isabelle Aerts is a scholar working on Ophthalmology, Oncology, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 125 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (46 papers), Neuroblastoma Research and Treatments (32 papers), Glioma Diagnosis and Treatment (29 papers), Head and Neck Surgical Oncology (14 papers), Cancer-related Molecular Pathways (13 papers), Cancer therapeutics and mechanisms (11 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Brain Metastases and Treatment (9 papers). The work is most often cited by research in Ophthalmology (795 citations), Genetics (695 citations), Neurology (564 citations), Oncology (761 citations) and Cancer Research (306 citations). Isabelle Aerts has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include François Doz, Livia Lumbroso‐Le Rouic, Laurence Desjardins, Birgit Geoerger, Hervé J. Brisse, Marion Gauthier‐Villars, Darren Hargrave, Éric Bouffet, Alexia Savignoni and Nathalie Cassoux. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Pediatric Blood & Cancer, Neuro-Oncology and European Journal of Medical 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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