G. Sica
- Co-authors
- Fortunata IacopinoCristiana AngelucciM. Pavone‐MacalusoStefano IacobelliGiovanni ScambiaL. CastagnettaPierluigi Benedetti PaniciPaolo Marchetti
- Topics
- Estrogen and related hormone effects (22 papers)Cytokine Signaling Pathways and Interactions (7 papers)Inflammatory mediators and NSAID effects (4 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Partner nations
- ItalyJapanNetherlands
In The Last Decade
G. Sica
43 papers receiving 400 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 166
- Oncology 123
- Genetics 105
- Cancer Research 80
- Immunology 75
Countries citing papers authored by G. Sica
This map shows the geographic impact of G. Sica'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 G. Sica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sica more than expected).
Fields of papers citing papers by G. Sica
This network shows the impact of papers produced by G. Sica. 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 G. Sica. The network helps show where G. Sica may publish in the future.
Co-authorship network of co-authors of G. Sica
This figure shows the co-authorship network connecting the top 25 collaborators of G. Sica. A scholar is included among the top collaborators of G. Sica 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 G. Sica. G. Sica is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 38 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | Beta-interferon, retinoids and tamoxifen combination in advanced breast cancer. | 9 |
| 6 | The growth of malignant and nonmalignant human cells is modulated by a human placental extract. | 5 |
| 7 | 28 | |
| 8 | 4 | |
| 9 | Natural interferon-beta and tamoxifen in hormone-resistant patients with advanced breast cancer. | 8 |
| 10 | 12 | |
| 11 | 15 | |
| 12 | Morphological and biochemical features of a medroxyprogesterone acetate (MPA)-resistant MCF-7 breast cancer cell line. | 2 |
| 13 | Antiproliferative effect of leuprorelin acetate, alone or combined with tamoxifen or medroxyprogesterone acetate, on human breast cancer cell lines. | 5 |
| 14 | 11 | |
| 15 | 12 | |
| 16 | 41 | |
| 17 | 19 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 2 |
About G. Sica
G. Sica is a scholar working on Genetics, Oncology and Cancer Research, having authored 43 papers that have together received 415 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (22 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Cancer Research (80 citations), Oncology (123 citations) and Genetics (105 citations). G. Sica has collaborated with scholars based in Italy, Japan and Netherlands. Frequent co-authors include Fortunata Iacopino, Cristiana Angelucci, M. Pavone‐Macaluso, Stefano Iacobelli, Giovanni Scambia, L. Castagnetta, Pierluigi Benedetti Panici, Paolo Marchetti, Clara Natoli and Gabriella Ferrandina. Their work appears in journals such as Journal of Clinical Oncology, Journal of Hepatology and British Journal of Cancer.
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.