Karine Peyrollier

2.2k citations
28 papers · 1.9k indexed · h-index 20
Topics
Proteoglycans and glycosaminoglycans research (6 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Glycosylation and Glycoproteins Research (3 papers)

In The Last Decade

Karine Peyrollier

28 papers receiving 1.8k citations

Peers

Karine Peyrollier
Comparison fields: 5 of 101
  • Molecular Biology 1.2k
  • Cell Biology 665
  • Oncology 391
  • Cancer Research 254
  • Immunology and Allergy 148
Replace Yoichiro Matsuoka with:
Yoichiro Matsuoka Japan
Enzo Calautti United States
Lisette M. Acevedo United States
Corrado Garbi Italy
Brad A. Bryan United States
Ivo Cornelissen United States
Ka‐Man Venus Lai United States
Kouros Motamed United States
Yasuko Tomono Japan
Günter Daum United States
Karine Peyrollier relative to Yoichiro Matsuoka Japan Yoichiro Matsuoka's profile →
Citations per field
00.5×1.5×1.9×
Yoichiro Matsuoka · 1×
Citations per year

Countries citing papers authored by Karine Peyrollier

Since Specialization
Citations

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

Fields of papers citing papers by Karine Peyrollier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karine Peyrollier

This figure shows the co-authorship network connecting the top 25 collaborators of Karine Peyrollier. A scholar is included among the top collaborators of Karine Peyrollier 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 Karine Peyrollier. Karine Peyrollier 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 31
2 52
3 25
4 7
5 119
6 94
7 377
8 120
9 90
10 20
11 126
12 72
13
Hyaluronan-CD44 interaction with IQGAP1 promotes Cdc42 and ERK signaling leading to actin binding, Elk-1/Estrogen receptor transcriptional activation and ovarian cancer progression.
2
14 143
15 11
16 84
17 1
18 15
19 19
20 31

About Karine Peyrollier

Karine Peyrollier is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Cell Biology (665 citations), Immunology and Allergy (148 citations) and Cancer Research (254 citations). Karine Peyrollier has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Lilly Bourguignon, Eli Gilad, Harinder S. Hundal, Russell Hyde, Éric Hajduch, Cord Brakebusch, Amy Brightman, Esben Pedersen, D. Bataille and Anne Virsolvy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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