Angelo Amabile

1.5k citations
10 papers · 905 · h-index 7

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
  • Aging top 10%

Papers in

    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 2
    • Pluripotent Stem Cells Research 2
    • CRISPR and Genetic Engineering 2
    • Immune cells in cancer 2
    • Immune Cell Function and Interaction 2
    • interferon and immune responses 1

Angelo Amabile

9 papers receiving 894 citations

Peers

Angelo Amabile
Comparison fields: 5 of 84
  • Physiology 95
  • Aging 26
  • Immunology 263
  • Business and International Management 16
  • Molecular Biology 564
Replace Laurent Magnenat with:
Laurent Magnenat United States
Diego Gravotta United States
Igor V. Boronenkov United States
Marina V. Kisseleva United States
Enric Mocholí Netherlands
Senye Takahashi Japan
Devin Dersh United States
Galina Tuymetova United States
Adrien Rousseau United Kingdom
Marcel Vergés Spain
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Citations per field
00.5×5.9×
Laurent Magnenat · 1×
Citations per year

Countries citing papers authored by Angelo Amabile

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Amabile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2016351
2 2011288
3 2019139
4 202140
5 202433
6 201332
7 202219
8 20212
9 20161
10 20250

About Angelo Amabile

Angelo Amabile is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Organic Chemistry, having authored 10 papers that have together received 905 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (2 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Immune cells in cancer (2 papers), Immune Cell Function and Interaction (2 papers), Pancreatic function and diabetes (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Physiology (95 citations), Aging (26 citations), Immunology (263 citations), Business and International Management (16 citations) and Molecular Biology (564 citations). Angelo Amabile has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Angelo Lombardo, Mauro Biffi, Paola Capasso, Alessandro Migliara, Luigi Naldini, Davide Cittaro, Massimiliano Mirolo, Lamorna Brown Swigart, Maria De Pizzol and Andrea Doni. Their work appears in journals such as Cell Reports, Cell, Molecular Therapy, Blood and Nature 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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