E. Mathias

2.2k citations
10 papers · 327 · h-index 6

Impact in

Papers in

    • HER2/EGFR in Cancer Research 4
    • Cancer Treatment and Pharmacology 2
    • Autoimmune Neurological Disorders and Treatments 3

E. Mathias

9 papers receiving 321 citations

Peers

E. Mathias
Comparison fields: 5 of 43
  • Neurology 165
  • Biological Psychiatry 14
  • Oncology 76
  • Cellular and Molecular Neuroscience 39
  • Structural Biology 3
Replace Aurélien Viaccoz with:
Aurélien Viaccoz France
Anastasie Dunn‐Pirio United States
Hiu Yi Wong Singapore
J.‐C. Antoine France
Péter Körtvelyessy Germany
Henrik Hager Ireland
Scott M. Wemlinger United States
Esther Hulsenboom Netherlands
Anne‐Laurie Pinto France
Nese Sinmaz Australia
E. Mathias relative to Aurélien Viaccoz France Aurélien Viaccoz's profile →
Citations per field
00.5×3.5×
Aurélien Viaccoz · 1×
Citations per year

Countries citing papers authored by E. Mathias

Since Specialization
Citations

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

Fields of papers citing papers by E. Mathias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2017101
2 201598
3 202361
4 202329
5 201316
6 201215
7 20254
8 20242
9 20211
10 20150

About E. Mathias

E. Mathias is a scholar working on Oncology, Neurology, Pulmonary and Respiratory Medicine, Cancer Research and Infectious Diseases, having authored 10 papers that have together received 327 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Cancer Treatment and Pharmacology (2 papers), Breast Cancer Treatment Studies (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Amoebic Infections and Treatments (1 paper), Infectious Aortic and Vascular Conditions (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Neurology (165 citations), Biological Psychiatry (14 citations), Oncology (76 citations), Cellular and Molecular Neuroscience (39 citations) and Structural Biology (3 citations). E. Mathias has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Véronique Rogemond, Jérôme Honnorat, François Ducray, Marc Tardieu, Jean‐Christophe Antoine, Frédéric Villega, Aurélien Viaccoz, Géraldine Picard, Jean‐Yves Delattre and Αναστασία Ζεκερίδου. Their work appears in journals such as Annals of Oncology, Diagnostic and Interventional Imaging, ESMO Open, Journal of Neurology and Journal of Infection.

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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