Daniela D’Arcangelo
- Biochemistry top 5%
- Cancer Research top 10%
- Immunology top 10%
- Immunotherapy and Immune Responses 6
- Atherosclerosis and Cardiovascular Diseases 4
- Phagocytosis and Immune Regulation 3
- Molecular Biology top 10%
- Ion channel regulation and function 5
- Aging top 10%
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- Blood properties and coagulation 3
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- Thyroid Disorders and Treatments 3
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- Chemokine receptors and signaling 3
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Francesco FacchianoAntonio FacchianoMaurizio C. CapogrossiClaudio TabolacciCarlo GaetanoSimone BeninatiStefania RossiRoberto Nisini
- Journals
- Oxidative Medicine and Cellular Longevity (4 papers)PLoS ONE (4 papers)Circulation Research (2 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Daniela D’Arcangelo
45 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Biochemistry 124
- Cancer Research 245
- Immunology 332
- Molecular Biology 933
- Aging 19
Countries citing papers authored by Daniela D’Arcangelo
This map shows the geographic impact of Daniela D’Arcangelo'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 Daniela D’Arcangelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela D’Arcangelo more than expected).
Fields of papers citing papers by Daniela D’Arcangelo
This network shows the impact of papers produced by Daniela D’Arcangelo. 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 Daniela D’Arcangelo. The network helps show where Daniela D’Arcangelo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela D’Arcangelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 8 | |
| 2 | 2021 | 13 | |
| 3 | 2020 | 13 | |
| 4 | 2020 | 47 | |
| 5 | Beneficial Role of Phytochemicals on Oxidative Stress and Age-Related Diseasesbreakdown → | 2019 | 349 |
| 6 | 2019 | 14 | |
| 7 | 2016 | 23 | |
| 8 | 2016 | 53 | |
| 9 | 2014 | 8 | |
| 10 | 2014 | 63 | |
| 11 | 2013 | 42 | |
| 12 | 2012 | 15 | |
| 13 | 2011 | 98 | |
| 14 | 2011 | 18 | |
| 15 | 2010 | 13 | |
| 16 | 2009 | 19 | |
| 17 | 2001 | 44 | |
| 18 | 2001 | 32 | |
| 19 | 1995 | 17 | |
| 20 | 1991 | 19 |
About Daniela D’Arcangelo
Daniela D’Arcangelo is a scholar working on Immunology, Cell Biology and Oncology, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Ion channel regulation and function (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Blood properties and coagulation (3 papers), Thyroid Disorders and Treatments (3 papers), Chemokine receptors and signaling (3 papers), Phagocytosis and Immune Regulation (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Biochemistry (124 citations), Cancer Research (245 citations) and Immunology (332 citations). Daniela D’Arcangelo has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Francesco Facchiano, Antonio Facchiano, Maurizio C. Capogrossi, Claudio Tabolacci, Carlo Gaetano, Simone Beninati, Stefania Rossi, Roberto Nisini, Ravirajsinh N. Jadeja and Cinzia Forni. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, PLoS ONE, Circulation Research, Cardiovascular Research and Cancers.
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.