E Bucciarelli
- Oncology top 10%
- Cancer Research top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Angelo SidoniGuido BellezzaAntonio CavaliereMassimo ScheibelG. F. RabottiAlbert J. DaltonIvana FerriBrunangelo Falini
- Topics
- Breast Cancer Treatment Studies (9 papers)HER2/EGFR in Cancer Research (6 papers)Breast Lesions and Carcinomas (5 papers)
- Cited by
- Cancer ResearchOncologyDermatology
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
E Bucciarelli
47 papers receiving 925 citations
Peers
Comparison fields: 5 of 87
- Oncology 419
- Cancer Research 311
- Molecular Biology 244
- Pathology and Forensic Medicine 210
- Pulmonary and Respiratory Medicine 157
Countries citing papers authored by E Bucciarelli
This map shows the geographic impact of E Bucciarelli'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 E Bucciarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Bucciarelli more than expected).
Fields of papers citing papers by E Bucciarelli
This network shows the impact of papers produced by E Bucciarelli. 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 E Bucciarelli. The network helps show where E Bucciarelli may publish in the future.
Co-authorship network of co-authors of E Bucciarelli
This figure shows the co-authorship network connecting the top 25 collaborators of E Bucciarelli. A scholar is included among the top collaborators of E Bucciarelli 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 E Bucciarelli. E Bucciarelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Detection of HER-2/neu (c-erbB-2) overexpression and amplification in breast carcinomas with ambiguous immunohistochemical results. A further contribution to defining the role of fluorescent in situ hybridization. | 14 |
| 2 | 5 | |
| 3 | 18 | |
| 4 | 19 | |
| 5 | 106 | |
| 6 | 10 | |
| 7 | 78 | |
| 8 | 35 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | Value of c-erbB-2 and p53 oncoprotein co-overexpression in human breast cancer. | 19 |
| 13 | 21 | |
| 14 | 32 | |
| 15 | 11 | |
| 16 | 101 | |
| 17 | 22 | |
| 18 | [Pulmonary adenomatosis of the sheep (Jaagsiekte). Ultrastructural study]. | 4 |
| 19 | 3 | |
| 20 | 27 |
About E Bucciarelli
E Bucciarelli is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), HER2/EGFR in Cancer Research (6 papers) and Breast Lesions and Carcinomas (5 papers). The work is most often cited by research in Cancer Research (311 citations), Oncology (419 citations) and Dermatology (123 citations). E Bucciarelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Angelo Sidoni, Guido Bellezza, Antonio Cavaliere, Massimo Scheibel, G. F. Rabotti, Albert J. Dalton, Ivana Ferri, Brunangelo Falini, Maurizio Tonato and V. Costantini. Their work appears in journals such as The Journal of Cell Biology, JNCI Journal of the National Cancer Institute and 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.