Francesco Bresciani
- Molecular Biology top 5%
- Genetics top 1%
- Oncology top 5%
- Immunology top 10%
- Cancer Research top 5%
- Co-authors
- Alessandro WeiszG.A. PucaLuigi CicatielloVincenzo SicaLucia AltucciGiovanni Alfredo PucaErnesto NolaRaffaele Addeo
- Topics
- Estrogen and related hormone effects (32 papers)Reproductive System and Pregnancy (7 papers)Cancer-related Molecular Pathways (6 papers)
- Cited by
- GeneticsOncologyMolecular Biology
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Francesco Bresciani
67 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.8k
- Genetics 1.5k
- Oncology 761
- Immunology 420
- Cancer Research 310
Countries citing papers authored by Francesco Bresciani
This map shows the geographic impact of Francesco Bresciani'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 Francesco Bresciani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Bresciani more than expected).
Fields of papers citing papers by Francesco Bresciani
This network shows the impact of papers produced by Francesco Bresciani. 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 Francesco Bresciani. The network helps show where Francesco Bresciani may publish in the future.
Co-authorship network of co-authors of Francesco Bresciani
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Bresciani. A scholar is included among the top collaborators of Francesco Bresciani 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 Francesco Bresciani. Francesco Bresciani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 136 | |
| 2 | 75 | |
| 3 | 486 | |
| 4 | 41 | |
| 5 | 15 | |
| 6 | 112 | |
| 7 | 3 | |
| 8 | 17 beta-Estradiol overcomes a G1 block induced by HMG-CoA reductase inhibitors and fosters cell cycle progression without inducing ERK-1 and -2 MAP kinases activation. | 50 |
| 9 | Estrogen regulation of proto-oncogenes coding for nuclear proteins. | 91 |
| 10 | 45 | |
| 11 | 48 | |
| 12 | 30 | |
| 13 | 187 | |
| 14 | Perspectives in steroid receptor research | 2 |
| 15 | 41 | |
| 16 | Estrogen and progesterone receptors in normal mammary gland during different functional states. | 11 |
| 17 | 125 | |
| 18 | 47 | |
| 19 | 12 | |
| 20 | 4 |
About Francesco Bresciani
Francesco Bresciani is a scholar working on Genetics, Agronomy and Crop Science and Cancer Research, having authored 67 papers that have together received 3.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (32 papers), Reproductive System and Pregnancy (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Genetics (1.5k citations), Oncology (761 citations) and Molecular Biology (1.8k citations). Francesco Bresciani has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Alessandro Weisz, G.A. Puca, Luigi Cicatiello, Vincenzo Sica, Lucia Altucci, Giovanni Alfredo Puca, Ernesto Nola, Raffaele Addeo, V. Sica and Concetta Ambrosino. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.
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.