Martine Perrot‐Applanat

2.3k citations
33 papers · 1.9k indexed · h-index 25
Topics
Estrogen and related hormone effects (11 papers)Angiogenesis and VEGF in Cancer (10 papers)Cytokine Signaling Pathways and Interactions (5 papers)
Partner nations
FrancePortugalMexico

In The Last Decade

Martine Perrot‐Applanat

33 papers receiving 1.9k citations

Peers

Martine Perrot‐Applanat
Comparison fields: 5 of 104
  • Molecular Biology 926
  • Genetics 613
  • Oncology 387
  • Immunology 366
  • Cancer Research 308
Replace Karin Williams with:
Karin Williams United Kingdom
Karen G. Nelson United States
Meng Kian Tee United States
Viroj Boonyaratanakornkit United States
Claudia Lanari Argentina
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Twila A. Jackson United States
S W Curtis United States
Yoshikazu Masuhiro Japan
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Citations per field
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Citations per year

Countries citing papers authored by Martine Perrot‐Applanat

Since Specialization
Citations

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

Fields of papers citing papers by Martine Perrot‐Applanat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martine Perrot‐Applanat. 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 Martine Perrot‐Applanat. The network helps show where Martine Perrot‐Applanat may publish in the future.

Co-authorship network of co-authors of Martine Perrot‐Applanat

This figure shows the co-authorship network connecting the top 25 collaborators of Martine Perrot‐Applanat. A scholar is included among the top collaborators of Martine Perrot‐Applanat 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 Martine Perrot‐Applanat. Martine Perrot‐Applanat 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
#WorkIndexed citations
1 1
2 4
3 73
4 15
5 138
6 38
7 28
8 45
9 110
10 49
11 54
12 80
13 137
14 69
15 68
16 90
17 76
18 28
19 10
20 260

About Martine Perrot‐Applanat

Martine Perrot‐Applanat is a scholar working on Toxicology, Reproductive Medicine and Cancer Research, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Angiogenesis and VEGF in Cancer (10 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Reproductive Medicine (271 citations), Genetics (613 citations) and Cancer Research (308 citations). Martine Perrot‐Applanat has collaborated with scholars based in France, Portugal and Mexico. Frequent co-authors include Hélène Buteau-Lozano, Mélanie Di Benedetto, Geri Méduri, Edwin Milgröm, Paul A. Kelly, P. Lescop, Marc Edery, Hugues Loosfelt, M. Atger and Anne Guiochon‐Mantel. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

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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