Marcel Chatel

79 papers receiving 1.8k citations

Peers

Marcel Chatel
Comparison fields: 5 of 104
  • Genetics 589
  • Neurology 369
  • Psychiatry and Mental health 308
  • Cancer Research 208
  • Biochemistry 98
Replace Françoise Darcel with:
Françoise Darcel France
Hansdetlef Wassmann Germany
Ryosuke Hanaya Japan
Ewa Matyja Poland
Kiyonobu Ikezaki Japan
Lawrence R. Charnas United States
Kohkichi Hosoda Japan
J. D. Fenstermacher United States
Beth L. Thurberg United States
Bernd Bauer Germany
Marcel Chatel relative to Françoise Darcel France Françoise Darcel's profile →
Citations per field
00.5×1.5×2.0×
Françoise Darcel · 1×
Citations per year

Countries citing papers authored by Marcel Chatel

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Chatel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989188
2 1992185
3 1994160
4 1989138
5 2003120
6 1986104
7 200795
8
Epidermal growth factor receptor and labeling index are independent prognostic factors in glial tumor outcome.
199886
9 200477
10 200763
11 199347
12 198444
13 200036
14 199535
15 200331
16 200030
17 200630
18 200429
19 199527
20 199722

About Marcel Chatel

Marcel Chatel is a scholar working on Genetics, Neurology, Psychiatry and Mental health, Pathology and Forensic Medicine and Biochemistry, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Epilepsy research and treatment (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Multiple Sclerosis Research Studies (6 papers), Polyamine Metabolism and Applications (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Medical Imaging Techniques and Applications (5 papers) and Folate and B Vitamins Research (5 papers). The work is most often cited by research in Genetics (589 citations), Neurology (369 citations), Psychiatry and Mental health (308 citations), Cancer Research (208 citations) and Biochemistry (98 citations). Marcel Chatel has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Françoise Darcel, Pierre Thomas, Christine Lebrun‐Frénay, Jean-Michel Derlon, Pierre Bustany, J Théron, Catherine Bourdet, A. Syrota, Pierre Genton and Anne Beaumanoir. Their work appears in journals such as Neurology, Journal of Neuro-Oncology, Neurosurgery, Neuro-Oncology 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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