Jean-Philippe Meyniel

956 citations
13 papers · 656 indexed · h-index 11
Topics
Gene expression and cancer classification (4 papers)Genomic variations and chromosomal abnormalities (3 papers)Breast Cancer Treatment Studies (2 papers)
Partner nations
France

In The Last Decade

Jean-Philippe Meyniel

13 papers receiving 644 citations

Peers

Jean-Philippe Meyniel
Comparison fields: 5 of 87
  • Molecular Biology 413
  • Cancer Research 360
  • Oncology 77
  • Immunology 74
  • Genetics 55
Replace Hsueh‐Ping Chu with:
Hsueh‐Ping Chu Taiwan
Jennifer S. Tront United States
Dorian Willhite United States
Meng K. Lim United States
Nathalie Allioli France
Gopuraja Dharmalingam United Kingdom
Maki Igarashi Japan
Joanna Kaczynski United States
Baifeng Zhang China
María José M. Díaz-Guerrá Spain
Jean-Philippe Meyniel relative to Hsueh‐Ping Chu Taiwan Hsueh‐Ping Chu's profile →
Citations per field
00.5×1.5×2.3×
Hsueh‐Ping Chu · 1×
Citations per year

Countries citing papers authored by Jean-Philippe Meyniel

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Philippe Meyniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Philippe Meyniel. 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 Jean-Philippe Meyniel. The network helps show where Jean-Philippe Meyniel may publish in the future.

Co-authorship network of co-authors of Jean-Philippe Meyniel

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Philippe Meyniel. A scholar is included among the top collaborators of Jean-Philippe Meyniel 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 Jean-Philippe Meyniel. Jean-Philippe Meyniel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 20
2 390
3 22
4 41
5 4
6 23
7 44
8
Challenges in the stratification of breast tumors for tailored therapies.
8
9 26
10 22
11 22
12 21
13 13

About Jean-Philippe Meyniel

Jean-Philippe Meyniel is a scholar working on Cancer Research, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 656 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cancer Research (360 citations), Reproductive Medicine (54 citations) and Molecular Biology (413 citations). Jean-Philippe Meyniel has collaborated with scholars based in France. Frequent co-authors include Paul Cottu, Nicolás André, Xavier Sastre‐Garau, Luciana Batista, Odette Mariani, Yvan de Féraudy, Fatima Mechta‐Grigoriou, Tina Gruosso, Mélissa Cardon and Bogdan Mateescu. Their work appears in journals such as Nature Medicine, Bioinformatics and JNCI Journal of the National Cancer Institute.

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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