David Meyronet

6.6k total citations
115 papers, 2.6k citations indexed

About

David Meyronet is a scholar working on Genetics, Neurology and Molecular Biology. According to data from OpenAlex, David Meyronet has authored 115 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Genetics, 33 papers in Neurology and 26 papers in Molecular Biology. Recurrent topics in David Meyronet's work include Glioma Diagnosis and Treatment (52 papers), Meningioma and schwannoma management (21 papers) and Brain Metastases and Treatment (11 papers). David Meyronet is often cited by papers focused on Glioma Diagnosis and Treatment (52 papers), Meningioma and schwannoma management (21 papers) and Brain Metastases and Treatment (11 papers). David Meyronet collaborates with scholars based in France, United States and Switzerland. David Meyronet's co-authors include François Ducray, Jérôme Honnorat, Jacques Guyotat, Gabriele Bergers, Morag Park, Manish K. Aghi, Kan Lu, Shaun D. Fouse, Jeffrey P. Chang and Christine A. Parachoniak and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

David Meyronet

107 papers receiving 2.6k citations

Peers

David Meyronet
Comparison fields: 5 of 114
  • Genetics 1.0k
  • Molecular Biology 878
  • Neurology 609
  • Cancer Research 458
  • Pulmonary and Respiratory Medicine 395
Replace Marco Gessi with:
Marco Gessi Italy
Takanori Ohnishi Japan
Hideaki Yokoo Japan
Nils Ole Schmidt Germany
Christine Haberler Austria
Masayuki Kanamori Japan
Emmanuelle Uro‐Coste France
Helle Broholm Denmark
Junko Hirato Japan
Alessandro Della Puppa Italy
Marco Gessi Italy View profile →
Citations per field, relative to David Meyronet
David Meyronet · 1×
Citations per year, relative to David Meyronet
David Meyronet · 1×

Countries citing papers authored by David Meyronet

Since Specialization
Citations

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

Fields of papers citing papers by David Meyronet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Meyronet

This figure shows the co-authorship network connecting the top 25 collaborators of David Meyronet. A scholar is included among the top collaborators of David Meyronet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Meyronet. David Meyronet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 0
5 0
6 11
7 2
8 3
9 6
10 9
11 5
12 47
13 23
14
Machine learning-based prediction of glioma margin from 5-ALA induced PpIX fluorescence spectroscopy
1
15 36
16 4
17 26
18 37
19 14
20 5

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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