Antonella Daniele
- Molecular Biology
- Oncology top 10%
- Cancer Research top 5%
- Epidemiology top 10%
- Physiology top 10%
- Co-authors
- Rosa DivellaInes AbbateAngelo ParadisoRaffaele De LucaEmanuele NaglieriMary Lake PolanAlan KuoAntonio Mazzocca
- Topics
- Protease and Inhibitor Mechanisms (9 papers)BRCA gene mutations in cancer (7 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
- Journals
- Journal of Clinical OncologyClinical Cancer ResearchBiochemical and Biophysical Research Communications
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Antonella Daniele
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 436
- Oncology 431
- Cancer Research 340
- Epidemiology 334
- Physiology 214
Countries citing papers authored by Antonella Daniele
This map shows the geographic impact of Antonella Daniele'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 Antonella Daniele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonella Daniele more than expected).
Fields of papers citing papers by Antonella Daniele
This network shows the impact of papers produced by Antonella Daniele. 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 Antonella Daniele. The network helps show where Antonella Daniele may publish in the future.
Co-authorship network of co-authors of Antonella Daniele
This figure shows the co-authorship network connecting the top 25 collaborators of Antonella Daniele. A scholar is included among the top collaborators of Antonella Daniele 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 Antonella Daniele. Antonella Daniele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 47 | |
| 4 | 20 | |
| 5 | 4 | |
| 6 | 20 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 21 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 48 | |
| 14 | 128 | |
| 15 | 6 | |
| 16 | 17 | |
| 17 | 25 | |
| 18 | Serotonin transporter polymorphism in major depressive disorder (MDD), psychiatric disorders, and in MDD in response to stressful life events: causes and treatment with antidepressant. | 14 |
| 19 | 1 | |
| 20 | 18 |
About Antonella Daniele
Antonella Daniele is a scholar working on Cancer Research, Oncology and Reproductive Medicine, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (9 papers), BRCA gene mutations in cancer (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Cancer Research (340 citations), Oncology (431 citations) and Reproductive Medicine (96 citations). Antonella Daniele has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Rosa Divella, Ines Abbate, Angelo Paradiso, Raffaele De Luca, Emanuele Naglieri, Mary Lake Polan, Alan Kuo, Antonio Mazzocca, Michele Quaranta and Eufemia Savino. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research and Biochemical and Biophysical Research Communications.
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.