Giulietta A. Perrone
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Cardiology and Cardiovascular Medicine
- Genetics
- Co-authors
- Matteo Antonio RussoMarco TafaniLuigi CoppolaAndrea FrustaciBruna PucciElena De SantisAndrea RussoAngelo Carpi
- Topics
- Estrogen and related hormone effects (2 papers)Cancer, Hypoxia, and Metabolism (2 papers)Thyroid Cancer Diagnosis and Treatment (2 papers)
- Journals
- Frontiers in PharmacologyBiomedicine & PharmacotherapyAmerican Journal of Clinical Pathology
- Partner nations
- ItalyUnited States
In The Last Decade
Giulietta A. Perrone
10 papers receiving 325 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 168
- Endocrinology, Diabetes and Metabolism 101
- Cancer Research 90
- Cardiology and Cardiovascular Medicine 53
- Genetics 53
Countries citing papers authored by Giulietta A. Perrone
This map shows the geographic impact of Giulietta A. Perrone'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 Giulietta A. Perrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulietta A. Perrone more than expected).
Fields of papers citing papers by Giulietta A. Perrone
This network shows the impact of papers produced by Giulietta A. Perrone. 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 Giulietta A. Perrone. The network helps show where Giulietta A. Perrone may publish in the future.
Co-authorship network of co-authors of Giulietta A. Perrone
This figure shows the co-authorship network connecting the top 25 collaborators of Giulietta A. Perrone. A scholar is included among the top collaborators of Giulietta A. Perrone 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 Giulietta A. Perrone. Giulietta A. Perrone 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 | 22 | |
| 3 | 70 | |
| 4 | 47 | |
| 5 | 76 | |
| 6 | 11 | |
| 7 | 45 | |
| 8 | Detection of oncogenic HPV and identification of 72Arg polymorphic p53 by in situ PCR for clinical routine purposes. | 2 |
| 9 | 9 | |
| 10 | 51 |
About Giulietta A. Perrone
Giulietta A. Perrone is a scholar working on Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 10 papers that have together received 336 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (101 citations), Cancer Research (90 citations) and Molecular Biology (168 citations). Giulietta A. Perrone has collaborated with scholars based in Italy and United States. Frequent co-authors include Matteo Antonio Russo, Marco Tafani, Luigi Coppola, Andrea Frustaci, Bruna Pucci, Elena De Santis, Andrea Russo, Angelo Carpi, Luisa Salvatori and Ilaria Carnevale. Their work appears in journals such as Frontiers in Pharmacology, Biomedicine & Pharmacotherapy and American Journal of Clinical Pathology.
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.