Caroline Pendaries

1.3k citations
12 papers · 956 · h-index 10

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • PI3K/AKT/mTOR signaling in cancer 2
    • Ubiquitin and proteasome pathways 1
    • Cellular transport and secretion 4

Caroline Pendaries

12 papers receiving 948 citations

Peers

Caroline Pendaries
Comparison fields: 5 of 77
  • Cell Biology 292
  • Endocrinology 63
  • Endocrinology, Diabetes and Metabolism 176
  • Genetics 285
  • Physiology 37
Replace Michel Lacasa with:
Michel Lacasa France
Yoshifumi Fujita Japan
Brian R. Mullin United States
G J Strous Netherlands
Kathryn Gorski United States
Carmel G. Teahan United Kingdom
A.W. Bell Canada
Martha Robles‐Flores Mexico
Claudio Carta Italy
A. Julian Garvin United States
Caroline Pendaries relative to Michel Lacasa France Michel Lacasa's profile →
Citations per field
00.5×4.8×
Michel Lacasa · 1×
Citations per year

Countries citing papers authored by Caroline Pendaries

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Pendaries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2002181
2 2006173
3 2002151
4 2003150
5 2004121
6 200768
7 200531
8 200726
9 201425
10 200717
11 20077
12 20216

About Caroline Pendaries

Caroline Pendaries is a scholar working on Molecular Biology, Cell Biology, Hematology, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 956 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Platelet Disorders and Treatments (3 papers), Estrogen and related hormone effects (2 papers), Menopause: Health Impacts and Treatments (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Ubiquitin and proteasome pathways (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Cell Biology (292 citations), Endocrinology (63 citations), Endocrinology, Diabetes and Metabolism (176 citations), Genetics (285 citations) and Physiology (37 citations). Caroline Pendaries has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Bernard Payrastre, Hélène Tronchère, Monique Plantavid, F. Bayard, Benoît Darblade, Jean‐François Arnal, Pierre Chambon, A. Krust, Frédérique Gaits‐Iacovoni and Marie-José Fouque. Their work appears in journals such as Biochemical Society Symposia, Journal of Biological Chemistry, FEBS Letters, Platelets and Circulation Research.

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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