F. Antonicelli

437 citations
15 papers · 368 indexed · h-index 9

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • Metabolism, Diabetes, and Cancer 3
    • S100 Proteins and Annexins 2
    • Protease and Inhibitor Mechanisms 3

F. Antonicelli

15 papers receiving 348 citations

Peers

F. Antonicelli
Comparison fields: 5 of 77
  • Cancer Research 111
  • Immunology and Allergy 40
  • Biomaterials 45
  • Rehabilitation 22
  • Genetics 67
Replace Maria Luisa D’Angelo with:
Maria Luisa D’Angelo Italy
N Groult France
Mari Aikio Finland
Sören Twarock Germany
Kyu Yeon Han United States
A Anjo France
Minhwa Park South Korea
L. Häggroth Sweden
Chihiro Matsui Japan
Elizabeth A. Hawthorne United States
F. Antonicelli relative to Maria Luisa D’Angelo Italy Maria Luisa D’Angelo's profile →
Citations per field
00.5×2.8×
Maria Luisa D’Angelo · 1×
Citations per year

Countries citing papers authored by F. Antonicelli

Since Specialization
Citations

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

Fields of papers citing papers by F. Antonicelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2005190
2 200354
3 200826
4 198921
5 198814
6 199411
7 200511
8 20159
9 19908
10 20107
11 19897
12 20196
13 19892
14 19881
15 19891

About F. Antonicelli

F. Antonicelli is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Hematology, having authored 15 papers that have together received 368 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Protease and Inhibitor Mechanisms (3 papers), S100 Proteins and Annexins (2 papers), Pancreatic function and diabetes (1 paper), Connective tissue disorders research (1 paper), Bee Products Chemical Analysis (1 paper) and Systemic Sclerosis and Related Diseases (1 paper). The work is most often cited by research in Cancer Research (111 citations), Immunology and Allergy (40 citations), Biomaterials (45 citations), Rehabilitation (22 citations) and Genetics (67 citations). F. Antonicelli has collaborated with scholars based in France, Algeria and India. Frequent co-authors include Sandrine Lorimier, Michel Crépin, E. Huet, William Hornebeck, Georges Bellon, Claudine Soria, Jean-Hubert Cauchard, Arnaud Robinet, Loı̈c Vincent and Bernard Haye. Their work appears in journals such as FEBS Letters, Molecular and Cellular Endocrinology, Biochimie, Journal of Cell Science and Biochemical and Biophysical Research Communications.

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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