Marc Sanson

29.8k citations
319 papers · 14.1k indexed · 6 hit papers · h-index 61

Marc Sanson

306 papers receiving 13.9k citations

Hit Papers

Futibatinib, an Irre...1712006202620122019250500750

Peers

Marc Sanson
Comparison fields: 5 of 142
  • Genetics 8.6k
  • Cancer Research 3.8k
  • Neurology 2.5k
  • Pulmonary and Respiratory Medicine 3.1k
  • Radiology, Nuclear Medicine and Imaging 1.8k
Replace Yingli Wolinsky with:
Yingli Wolinsky United States
Christian Hartmann Germany
Jean‐Yves Delattre France
Johannes A. Hainfellner Austria
David Capper Germany
Karima Mokhtari France
Johan M. Kros Netherlands
Torsten Pietsch Germany
Khê Hoang‐Xuan France
Dominique Figarella‐Branger France
Marc Sanson relative to Yingli Wolinsky United States Yingli Wolinsky's profile →
Citations per field
00.5×
Yingli Wolinsky · 1×
Citations per year

Countries citing papers authored by Marc Sanson

Since Specialization
Citations

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

Fields of papers citing papers by Marc Sanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20231
4 202349
5 20226
6
Futibatinib, an Irreversible FGFR1–4 Inhibitor, in Patients with Advanced Solid Tumors Harboring FGF / FGFR Aberrations: A Phase I Dose-Expansion Studybreakdown →
2021171
7 20204
8 201842
9 201581
10 201541
11 2014178
12 201424
13 201292
14 201224
15 201183
16 2010402
17 2010304
18
Isocitrate Dehydrogenase 1 Codon 132 Mutation Is an Important Prognostic Biomarker in Gliomasbreakdown →
2009773
19
Vers une classification moléculaire des gliomes
20056
20
Biologie et thérapie génique des gliomes.
19960

About Marc Sanson

Marc Sanson is a scholar working on Genetics, Cancer Research and Neurology, having authored 319 papers that have together received 14.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (224 papers), Meningioma and schwannoma management (55 papers), Brain Metastases and Treatment (50 papers), Cancer, Hypoxia, and Metabolism (37 papers), Neurofibromatosis and Schwannoma Cases (34 papers), MicroRNA in disease regulation (28 papers), Chromatin Remodeling and Cancer (25 papers) and Epigenetics and DNA Methylation (24 papers). The work is most often cited by research in Genetics (8.6k citations), Cancer Research (3.8k citations) and Neurology (2.5k citations). Marc Sanson has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Khê Hoang‐Xuan, Ahmed Idbaïh, Karima Mokhtari, Jean‐Yves Delattre, Yannick Marie, Blandine Boisselier, Florence Laigle–Donadey, Alain Carpentier, Martin J. van den Bent and François Ducray. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, Journal of Clinical Oncology, Neurology and Annals of Neurology.

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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