Davide Pellacani
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Single-cell and spatial transcriptomics 5
- Epigenetics and DNA Methylation 5
- Oncology 17
- Cancer Cells and Metastasis 14
- Co-authors
- Norman J. Maitland (16 shared papers)Connie J. Eaves (16 shared papers)Anne T. Collins (12 shared papers)Matthew Simms (9 shared papers)Fiona M. Frame (9 shared papers)David J. H. F. Knapp (8 shared papers)Martin Hirst (8 shared papers)Nagarajan Kannan (5 shared papers)
- Journals
- Blood (3 papers)Cell Reports (2 papers)Cancer Research (2 papers)Oncogene (2 papers)Advances in experimental medicine and biology (2 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Davide Pellacani
34 papers receiving 913 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 231
- Oncology 330
- Hematology 93
- Molecular Biology 476
- Pulmonary and Respiratory Medicine 187
Countries citing papers authored by Davide Pellacani
This map shows the geographic impact of Davide Pellacani'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 Davide Pellacani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Pellacani more than expected).
Fields of papers citing papers by Davide Pellacani
This network shows the impact of papers produced by Davide Pellacani. 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 Davide Pellacani. The network helps show where Davide Pellacani may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Pellacani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 86 | |
| 2 | 2014 | 76 | |
| 3 | 2016 | 59 | |
| 4 | 2012 | 56 | |
| 5 | 2013 | 50 | |
| 6 | 2013 | 50 | |
| 7 | 2018 | 41 | |
| 8 | 2009 | 39 | |
| 9 | 2013 | 39 | |
| 10 | 2011 | 37 | |
| 11 | 2019 | 34 | |
| 12 | 2016 | 30 | |
| 13 | 2011 | 30 | |
| 14 | 2014 | 27 | |
| 15 | 2012 | 26 | |
| 16 | 2017 | 26 | |
| 17 | 2012 | 26 | |
| 18 | 2012 | 24 | |
| 19 | 2020 | 19 | |
| 20 | 2019 | 19 |
About Davide Pellacani
Davide Pellacani is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Hematology, having authored 34 papers that have together received 918 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (14 papers), Prostate Cancer Treatment and Research (10 papers), Hematopoietic Stem Cell Transplantation (6 papers), Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (5 papers), Immunotherapy and Immune Responses (4 papers), Cancer Genomics and Diagnostics (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cancer Research (231 citations), Oncology (330 citations), Hematology (93 citations), Molecular Biology (476 citations) and Pulmonary and Respiratory Medicine (187 citations). Davide Pellacani has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Norman J. Maitland, Connie J. Eaves, Anne T. Collins, Matthew Simms, Fiona M. Frame, David J. H. F. Knapp, Martin Hirst, Nagarajan Kannan, Michelle Moksa and Sylvain Lefort. Their work appears in journals such as Blood, Cell Reports, Cancer Research, Oncogene and Advances in experimental medicine and biology.
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.