M. Chatel

75 papers receiving 1.7k citations

Peers

M. Chatel
Comparison fields: 5 of 102
  • Genetics 575
  • Neurology 404
  • Psychiatry and Mental health 283
  • Radiology, Nuclear Medicine and Imaging 360
  • Cancer Research 231
Replace H. Wassmann with:
H. Wassmann Germany
Kari Skullerud Norway
Zoltán Patay United States
Nobuyuki Kawai Japan
Ryosuke Hanaya Japan
Ewa Matyja Poland
Tomio Sasaki Japan
Shigeru Nishizawa Japan
Jan Sällström Sweden
Takeo Abumiya Japan
M. Chatel relative to H. Wassmann Germany H. Wassmann's profile →
Citations per field
00.5×3.6×
H. Wassmann · 1×
Citations per year

Countries citing papers authored by M. Chatel

Since Specialization
Citations

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

Fields of papers citing papers by M. Chatel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989176
2 1992159
3 1994146
4 1989126
5 2003110
6 198690
7
Epidermal growth factor receptor and labeling index are independent prognostic factors in glial tumor outcome.
199886
8 200785
9 200468
10 200753
11 199338
12 198437
13 200035
14 199533
15 200629
16 200028
17 199521
18 200421
19 199720
20 199218

About M. Chatel

M. Chatel is a scholar working on Genetics, Neurology, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Peripheral Neuropathies and Disorders (9 papers), Epilepsy research and treatment (8 papers), Multiple Sclerosis Research Studies (7 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Acute Ischemic Stroke Management (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Folate and B Vitamins Research (5 papers). The work is most often cited by research in Genetics (575 citations), Neurology (404 citations), Psychiatry and Mental health (283 citations), Radiology, Nuclear Medicine and Imaging (360 citations) and Cancer Research (231 citations). M. Chatel has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Christine Lebrun‐Frénay, Pierre Thomas, Pierre Bustany, Jean-Michel Derlon, Françoise Darcel, J Théron, Catherine Bourdet, A. Syrota, A Beaumanoir and Pierre Genton. Their work appears in journals such as Neurology, Journal of Neuro-Oncology, Neurosurgery, Cerebrovascular Diseases and Epilepsia.

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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