Isabelle Aerts

138 papers receiving 3.5k citations

Isabelle Aerts's Hit Papers

Dabrafenib plus Trametinib in Pediatric Glioma with BRAF V600 Mutations 2023 · 177 citations
1770+1+2Years since publication50100150

Peers

Isabelle Aerts
Comparison fields: 5 of 105
  • Ophthalmology 977
  • Genetics 674
  • Neurology 572
  • Oncology 805
  • Cancer Research 370
Replace Michael L. Capra with:
Michael L. Capra Ireland
Michael N. Needle United States
Chie‐Schin Shih United States
Petra Temming Germany
Piers Nicholas Plowman United Kingdom
Helen Toledano Israel
Juan Luis Garcı́a Spain
John L. Hungerford United Kingdom
Laëtitia Padovani France
Cees C. Tijssen Netherlands
Isabelle Aerts relative to Michael L. Capra Ireland Michael L. Capra's profile →
Citations per field
00.5×2×3.1×
Michael L. Capra · 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 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011180
2
Dabrafenib plus Trametinib in Pediatric Glioma with BRAF V600 Mutations
Hit paper breakdown →
2023177
3 2017143
4 2006136
5 2010135
6 2022128
7 201992
8 200987
9 200778
10 201977
11 202177
12 200474
13 202173
14 200862
15 202161
16 201357
17 201352
18 201651
19 202149
20 201348

About Isabelle Aerts

Isabelle Aerts is a scholar working on Ophthalmology, Neurology, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 146 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (44 papers), Neuroblastoma Research and Treatments (20 papers), Glioma Diagnosis and Treatment (17 papers), Cancer-related Molecular Pathways (12 papers), Sarcoma Diagnosis and Treatment (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Childhood Cancer Survivors' Quality of Life (7 papers) and Hedgehog Signaling Pathway Studies (7 papers). The work is most often cited by research in Ophthalmology (977 citations), Genetics (674 citations), Neurology (572 citations), Oncology (805 citations) and Cancer Research (370 citations). Isabelle Aerts has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include François Doz, Livia Lumbroso-Le Rouïc, Laurence Desjardins, Birgit Geoerger, Hervé J. Brisse, Marion Gauthier‐Villars, Darren R. Hargrave, Alexia Savignoni, Eric Bouffet and Nathalie Cassoux. Their work appears in journals such as European Journal of Cancer, Pediatric Blood & Cancer, Neuro-Oncology, Journal of Clinical Oncology and Clinical 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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