Fulvio D’Angelo
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
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- Carcinogens and Genotoxicity Assessment
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
Papers in
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- Ubiquitin and proteasome pathways 2
- Single-cell and spatial transcriptomics 2
- RNA modifications and cancer 2
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- Carcinogens and Genotoxicity Assessment 2
- Co-authors
- Michele Ceccarelli (17 shared papers)Mario De Felice (8 shared papers)Massimo Mallardo (5 shared papers)Immacolata Porreca (5 shared papers)Concetta Ambrosino (5 shared papers)Danila Cuomo (3 shared papers)Antonio Iavarone (10 shared papers)Anna Lasorella (6 shared papers)
- Journals
- Scientific Reports (2 papers)Nature Communications (1 paper)Molecular Cell (1 paper)Neuro-Oncology (1 paper)Nature Cancer (1 paper)
- Partner nations
- ItalyUnited StatesQatar
In The Last Decade
Fulvio D’Angelo
24 papers receiving 369 citations
Peers
Comparison fields: 5 of 73
- Health, Toxicology and Mutagenesis 84
- Cancer Research 77
- Aging 7
- Genetics 39
- Molecular Biology 154
Countries citing papers authored by Fulvio D’Angelo
This map shows the geographic impact of Fulvio D’Angelo'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 Fulvio D’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fulvio D’Angelo more than expected).
Fields of papers citing papers by Fulvio D’Angelo
This network shows the impact of papers produced by Fulvio D’Angelo. 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 Fulvio D’Angelo. The network helps show where Fulvio D’Angelo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fulvio D’Angelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2015 | 53 | |
| 3 | 2016 | 32 | |
| 4 | 2020 | 31 | |
| 5 | 2018 | 30 | |
| 6 | 2020 | 27 | |
| 7 | 2016 | 21 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2008 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2014 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2008 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2022 | 3 |
About Fulvio D’Angelo
Fulvio D’Angelo is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Genetics, having authored 24 papers that have together received 372 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Ubiquitin and proteasome pathways (2 papers), Single-cell and spatial transcriptomics (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), RNA modifications and cancer (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (84 citations), Cancer Research (77 citations), Aging (7 citations), Genetics (39 citations) and Molecular Biology (154 citations). Fulvio D’Angelo has collaborated with scholars based in Italy, United States and Qatar. Frequent co-authors include Michele Ceccarelli, Mario De Felice, Massimo Mallardo, Immacolata Porreca, Concetta Ambrosino, Danila Cuomo, Antonio Iavarone, Anna Lasorella, Young Taek Oh and Luciano Garofano. Their work appears in journals such as Scientific Reports, Nature Communications, Molecular Cell, Neuro-Oncology and Nature Cancer.
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.