Chiara D’Angelo
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Biophysics top 2%
- Electromagnetic Fields and Biological Effects
Papers in
-
- Nicotinic Acetylcholine Receptors Study 5
-
- Vagus Nerve Stimulation Research 4
- Co-authors
- Marcella Reale (24 shared papers)Erica Costantini (19 shared papers)Mohammad Amjad Kamal (4 shared papers)Lucia Velluto (4 shared papers)Ada Maria Tata (4 shared papers)Marta Di Nicola (13 shared papers)Lorenza Speranza (3 shared papers)G.Jean Kant (2 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Nutrients (3 papers)Scientific Reports (2 papers)Current Pharmaceutical Design (2 papers)Journal of Alzheimer s Disease (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Chiara D’Angelo
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Biological Psychiatry 73
- Biophysics 134
- Neurology 149
- Behavioral Neuroscience 51
- Aging 17
Countries citing papers authored by Chiara D’Angelo
This map shows the geographic impact of Chiara 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 Chiara 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 Chiara D’Angelo more than expected).
Fields of papers citing papers by Chiara D’Angelo
This network shows the impact of papers produced by Chiara 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 Chiara D’Angelo. The network helps show where Chiara D’Angelo may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2014 | 102 | |
| 3 | 2014 | 79 | |
| 4 | 2014 | 69 | |
| 5 | 2017 | 60 | |
| 6 | 2018 | 59 | |
| 7 | 1991 | 53 | |
| 8 | 1991 | 46 | |
| 9 | 2020 | 45 | |
| 10 | 2018 | 43 | |
| 11 | 2014 | 43 | |
| 12 | 2018 | 39 | |
| 13 | 2021 | 39 | |
| 14 | 2015 | 39 | |
| 15 | 2019 | 37 | |
| 16 | 2016 | 28 | |
| 17 | 2016 | 28 | |
| 18 | 2015 | 28 | |
| 19 | 2016 | 21 | |
| 20 | 2020 | 21 |
About Chiara D’Angelo
Chiara D’Angelo is a scholar working on Molecular Biology, Neurology, Physiology, Pharmacology and Epidemiology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Vagus Nerve Stimulation Research (4 papers), Cervical Cancer and HPV Research (3 papers), Tryptophan and brain disorders (3 papers), Electromagnetic Fields and Biological Effects (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Spaceflight effects on biology (2 papers). The work is most often cited by research in Biological Psychiatry (73 citations), Biophysics (134 citations), Neurology (149 citations), Behavioral Neuroscience (51 citations) and Aging (17 citations). Chiara D’Angelo has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Marcella Reale, Erica Costantini, Mohammad Amjad Kamal, Lucia Velluto, Ada Maria Tata, Marta Di Nicola, Lorenza Speranza, G.Jean Kant, Mirko Pesce and Nigel H. Greig. Their work appears in journals such as International Journal of Molecular Sciences, Nutrients, Scientific Reports, Current Pharmaceutical Design and Journal of Alzheimer s Disease.
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.