M E Cornet

840 citations
14 papers · 697 · h-index 11

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Cell death mechanisms and regulation
    • Receptor Mechanisms and Signaling
    • PI3K/AKT/mTOR signaling in cancer
    • Metabolism, Diabetes, and Cancer

Papers in

    • Protein Kinase Regulation and GTPase Signaling 10
    • Mitochondrial Function and Pathology 3
    • Cell death mechanisms and regulation 2
    • Cellular transport and secretion 2

M E Cornet

13 papers receiving 672 citations

Peers

M E Cornet
Comparison fields: 5 of 73
  • Aging 16
  • Molecular Biology 518
  • Cell Biology 122
  • Biochemistry 50
  • Cancer Research 53
Replace K. Momomura with:
K. Momomura Japan
Ron Bumeister United States
Michela Pellegrini Italy
M.C.M. van Dijk Netherlands
Jianfen Guo United States
Eun Wie Cho South Korea
I D Goldfine United States
Ikuko Tsujimoto Japan
Iris Eisenmann-Tappe Germany
Marie Anne Pringle United Kingdom
M E Cornet relative to K. Momomura Japan K. Momomura's profile →
Citations per field
00.5×1.5×2.3×
K. Momomura · 1×
Citations per year

Countries citing papers authored by M E Cornet

Since Specialization
Citations

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

Fields of papers citing papers by M E Cornet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M E Cornet. 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 M E Cornet. The network helps show where M E Cornet may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1990149
2 1992146
3 199086
4 201063
5 199060
6 198940
7 199138
8 199137
9 199231
10 198921
11 198816
12 19929
13 20131
14 20250

About M E Cornet

M E Cornet is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 697 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Mitochondrial Function and Pathology (3 papers), Pancreatic function and diabetes (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Cell death mechanisms and regulation (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cellular transport and secretion (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Aging (16 citations), Molecular Biology (518 citations), Cell Biology (122 citations), Biochemistry (50 citations) and Cancer Research (53 citations). M E Cornet has collaborated with scholars based in Spain, Norway and Netherlands. Frequent co-authors include Jorge Moscat, María T. Díaz‐Meco, Terje Johansen, Inés Dı́az-Laviada, M López-Barahona, Per Henrik Guddal, Isabel Domínguez, Antonio Garcı́a de Herreros, Edurne Berra and M.M. Municio. Their work appears in journals such as Molecular and Cellular Biology, The EMBO Journal, Journal of Biological Chemistry, Biochemical Journal and Allergy.

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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