Pierre A. Robe

5.8k citations
152 papers · 3.4k indexed · h-index 31

Impact in

  • Genetics top 0.5%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • NF-κB Signaling Pathways
    • Cancer, Hypoxia, and Metabolism

Papers in

Pierre A. Robe

143 papers receiving 3.4k citations

Peers

Pierre A. Robe
Comparison fields: 5 of 139
  • Genetics 1.0k
  • Cancer Research 745
  • Neurology 226
  • Developmental Neuroscience 111
  • Molecular Biology 1.4k
Replace Ilker Y. Eyüpoglu with:
Ilker Y. Eyüpoglu Germany
Kathrin Geiger Germany
Songtao Qi China
Benno Küsters Netherlands
Sieger Leenstra Netherlands
Michael E. Buckland Australia
M. Waleed Gaber United States
Joshua D. Bernstock United States
Hannu Haapasalo Finland
Pierre A. Robe relative to Ilker Y. Eyüpoglu Germany Ilker Y. Eyüpoglu's profile →
Citations per field
00.5×1.5×2.0×
Ilker Y. Eyüpoglu · 1×
Citations per year

Countries citing papers authored by Pierre A. Robe

Since Specialization
Citations

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

Fields of papers citing papers by Pierre A. Robe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre A. Robe. 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 Pierre A. Robe. The network helps show where Pierre A. Robe may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
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10 20231
11 20221
12 202110
13 202024
14 202021
15 202015
16 201930
17 201910
18 2017125
19
Symptomatic pituitary metastasis
20052
20
New Approach for Efficient Prediction of Brain Deformation and Updating of Preoperative Images Based on the Extended Finite Element Method
20042

About Pierre A. Robe

Pierre A. Robe is a scholar working on Genetics, Neurology, Developmental Neuroscience, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 152 papers that have together received 3.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (59 papers), Meningioma and schwannoma management (22 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), MicroRNA in disease regulation (11 papers), Brain Metastases and Treatment (9 papers), Cerebrospinal fluid and hydrocephalus (8 papers), Head and Neck Surgical Oncology (7 papers) and Cancer-related cognitive impairment studies (7 papers). The work is most often cited by research in Genetics (1.0k citations), Cancer Research (745 citations), Neurology (226 citations), Developmental Neuroscience (111 citations) and Molecular Biology (1.4k citations). Pierre A. Robe has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Vincent Bours, Tom J. Snijders, Didier Martin, Marie‐Paule Merville, Marike L. D. Broekman, Bernard Rogister, Elly M. Hol, Manuel Deprez, Tatjana Seute and M.J.E. van Zandvoort. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, World Neurosurgery, Neuro-Oncology Advances and Acta Neurochirurgica.

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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