Alice Accorroni
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism
- Physiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Riccardo ZucchiGrazia RutiglianoGrazia ChielliniNicola OrigliaClara MattuValeria ChionoChiara Tonda‐TuroFederica Saponaro
- Topics
- Thyroid Disorders and Treatments (4 papers)Neuroscience and Neuropharmacology Research (3 papers)Long-Term Effects of COVID-19 (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceBiological PsychiatryEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroscience
- Partner nations
- ItalySwitzerlandFrance
In The Last Decade
Alice Accorroni
16 papers receiving 357 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 189
- Cellular and Molecular Neuroscience 124
- Endocrinology, Diabetes and Metabolism 73
- Physiology 56
- Cardiology and Cardiovascular Medicine 26
Countries citing papers authored by Alice Accorroni
This map shows the geographic impact of Alice Accorroni'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 Alice Accorroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alice Accorroni more than expected).
Fields of papers citing papers by Alice Accorroni
This network shows the impact of papers produced by Alice Accorroni. 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 Alice Accorroni. The network helps show where Alice Accorroni may publish in the future.
Co-authorship network of co-authors of Alice Accorroni
This figure shows the co-authorship network connecting the top 25 collaborators of Alice Accorroni. A scholar is included among the top collaborators of Alice Accorroni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alice Accorroni. Alice Accorroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | [Pathophysiology of COVID-19 related happy hypoxemia]. | 2 |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 40 | |
| 10 | 115 | |
| 11 | 18 | |
| 12 | 25 | |
| 13 | 21 | |
| 14 | 10 | |
| 15 | 61 | |
| 16 | 23 |
About Alice Accorroni
Alice Accorroni is a scholar working on Neurology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (124 citations), Biological Psychiatry (14 citations) and Endocrinology, Diabetes and Metabolism (73 citations). Alice Accorroni has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Riccardo Zucchi, Grazia Rutigliano, Grazia Chiellini, Nicola Origlia, Clara Mattu, Valeria Chiono, Chiara Tonda‐Turo, Federica Saponaro, Alessandro Saba and Chiara Criscuolo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neuroscience.
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.