Daniela Posca
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
-
- Bioinformatics and Genomic Networks
- Metabolism, Diabetes, and Cancer
- S100 Proteins and Annexins
- Gene Regulatory Network Analysis
Papers in
-
- Thyroid Cancer Diagnosis and Treatment 3
- Co-authors
- Mario Alessandro Vitale (3 shared papers)Giancarlo Troncone (3 shared papers)Maria Rosaria Sapio (3 shared papers)Gianfranco Fenzi (3 shared papers)Alessandra Silvestri (4 shared papers)Luisa Castagnoli (3 shared papers)Guido Rossi (2 shared papers)Gianni Cesareni (3 shared papers)
- Journals
- European Journal of Endocrinology (1 paper)Cell Systems (1 paper)Nucleic Acids Research (1 paper)Digestive Diseases and Sciences (1 paper)PLoS ONE (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Daniela Posca
9 papers receiving 662 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 248
- Molecular Biology 337
- Oncology 105
- Cancer Research 53
- Computational Theory and Mathematics 44
Countries citing papers authored by Daniela Posca
This map shows the geographic impact of Daniela Posca'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 Posca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Posca more than expected).
Fields of papers citing papers by Daniela Posca
This network shows the impact of papers produced by Daniela Posca. 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 Posca. The network helps show where Daniela Posca may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Posca, 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 | 2015 | 176 | |
| 2 | 2007 | 126 | |
| 3 | 2006 | 94 | |
| 4 | 2012 | 88 | |
| 5 | 2007 | 75 | |
| 6 | 2016 | 72 | |
| 7 | 2015 | 42 | |
| 8 | 2012 | 2 | |
| 9 | 2014 | 1 |
About Daniela Posca
Daniela Posca is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology, Surgery and Neurology, having authored 9 papers that have together received 676 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Inflammatory Bowel Disease (2 papers), Pancreatic function and diabetes (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Gene Regulatory Network Analysis (1 paper), Cancer-related Molecular Pathways (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (248 citations), Molecular Biology (337 citations), Oncology (105 citations), Cancer Research (53 citations) and Computational Theory and Mathematics (44 citations). Daniela Posca has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mario Alessandro Vitale, Giancarlo Troncone, Maria Rosaria Sapio, Gianfranco Fenzi, Alessandra Silvestri, Luisa Castagnoli, Guido Rossi, Gianni Cesareni, S Pirro and Maurilio Deandrea. Their work appears in journals such as European Journal of Endocrinology, Cell Systems, Nucleic Acids Research, Digestive Diseases and Sciences and PLoS ONE.
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.