Angelo Amabile

1.6k citations
11 papers · 955 · h-index 7

Impact in

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

Papers in

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

Angelo Amabile

10 papers receiving 945 citations

Peers

Angelo Amabile
Comparison fields: 5 of 83
  • Physiology 93
  • Aging 26
  • Immunology 249
  • Molecular Biology 549
  • Business and International Management 16
Replace Carlo Cosimo Campa with:
Carlo Cosimo Campa Italy
Laurent Magnenat United States
Caroline Schild‐Poulter Canada
Taruho S. Kuroda Japan
Igor V. Boronenkov United States
Senye Takahashi Japan
Devin Dersh United States
Adrien Rousseau United Kingdom
Marina V. Kisseleva United States
Enric Mocholí Netherlands
Angelo Amabile relative to Carlo Cosimo Campa Italy Carlo Cosimo Campa's profile →
Citations per field
00.5×3.2×
Carlo Cosimo Campa · 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

11 of 11 papers shown
#Work
1 2016368
2 2011297
3 2019144
4 202447
5 202141
6 201332
7 202221
8 20252
9 20212
10 20161
11 20260

About Angelo Amabile

Angelo Amabile is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Organic Chemistry, having authored 11 papers that have together received 955 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Pluripotent Stem Cells Research (2 papers), Immune Cell Function and Interaction (2 papers), RNA modifications and cancer (2 papers), Immune cells in cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Physiology (93 citations), Aging (26 citations), Immunology (249 citations), Molecular Biology (549 citations) and Business and International Management (16 citations). Angelo Amabile has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Angelo Lombardo, Luigi Naldini, Alessandro Migliara, Paola Capasso, Mauro Biffi, Davide Cittaro, Gérard I. Evan, Alberto Mantovani, Luca Zammataro and Massimo Locati. Their work appears in journals such as Cell Reports, Cell, Cellular and Molecular Bioengineering, Nature Communications and Cancer Discovery.

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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