Milena Piccioli
- Pathology and Forensic Medicine top 1%
- Oncology top 5%
- Immunology top 5%
- Molecular Biology
- Genetics top 2%
- Co-authors
- Stefano PileriStefano AscaniElena SabattiniBrunangelo FaliniFederica PieriPier Paolo PiccalugaClaudio CeccarelliGiulio Fraternali Orcioni
- Topics
- Lymphoma Diagnosis and Treatment (28 papers)Chronic Lymphocytic Leukemia Research (10 papers)Viral-associated cancers and disorders (10 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Milena Piccioli
38 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 92
- Pathology and Forensic Medicine 1.1k
- Oncology 788
- Immunology 480
- Molecular Biology 441
- Genetics 370
Countries citing papers authored by Milena Piccioli
This map shows the geographic impact of Milena Piccioli'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 Milena Piccioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milena Piccioli more than expected).
Fields of papers citing papers by Milena Piccioli
This network shows the impact of papers produced by Milena Piccioli. 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 Milena Piccioli. The network helps show where Milena Piccioli may publish in the future.
Co-authorship network of co-authors of Milena Piccioli
This figure shows the co-authorship network connecting the top 25 collaborators of Milena Piccioli. A scholar is included among the top collaborators of Milena Piccioli 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 Milena Piccioli. Milena Piccioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | Applying immunohistochemistry to alcohol-fixed paraffin- embedded tissues:an innovative technique to reduce use of formaldehyde | 2 |
| 5 | 86 | |
| 6 | 66 | |
| 7 | Use of IGK gene rearrangement analysis for clonality assessment of lymphoid malignancies: a single center experience. | 11 |
| 8 | 26 | |
| 9 | 0 | |
| 10 | 38 | |
| 11 | 120 | |
| 12 | 34 | |
| 13 | 51 | |
| 14 | 68 | |
| 15 | Anaplastic lymphoma kinase expression as a marker of malignancy. Application to a case of anaplastic large cell lymphoma with huge granulomatous reaction. | 12 |
| 16 | 12 | |
| 17 | 385 | |
| 18 | 34 | |
| 19 | 97 | |
| 20 | 14 |
About Milena Piccioli
Milena Piccioli is a scholar working on Pathology and Forensic Medicine, Genetics and Biological Psychiatry, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (28 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Viral-associated cancers and disorders (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Genetics (370 citations) and Oncology (788 citations). Milena Piccioli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Stefano Pileri, Stefano Ascani, Elena Sabattini, Brunangelo Falini, Federica Pieri, Pier Paolo Piccaluga, Claudio Ceccarelli, Giulio Fraternali Orcioni, Simonetta Poggi and Pier Luigi Zinzani. Their work appears in journals such as Journal of Clinical Oncology, Blood and Journal of the American College of Cardiology.
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.