Daniele Calistri
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 34
- Oncology top 2%
- Colorectal Cancer Screening and Detection 18
- Colorectal Cancer Treatments and Studies 18
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- Genetic factors in colorectal cancer 40
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- Lung Cancer Treatments and Mutations 20
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 14
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- BRCA gene mutations in cancer 15
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- Bladder and Urothelial Cancer Treatments 13
- Co-authors
- Dino AmadoriWainer ZoliValentina CasadioPaola UliviSamanta SalviGuglielmina Nadia RanzaniLuca SaragoniClaudia Rengucci
- Journals
- JAMA (1 paper)Journal of Clinical Oncology (6 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniele Calistri
127 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 1.1k
- Oncology 1.2k
- Pathology and Forensic Medicine 786
- Pulmonary and Respiratory Medicine 1.2k
- Molecular Biology 1.2k
Countries citing papers authored by Daniele Calistri
This map shows the geographic impact of Daniele Calistri'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 Daniele Calistri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Calistri more than expected).
Fields of papers citing papers by Daniele Calistri
This network shows the impact of papers produced by Daniele Calistri. 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 Daniele Calistri. The network helps show where Daniele Calistri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniele Calistri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 3 | |
| 11 | 2018 | 62 | |
| 12 | 2017 | 39 | |
| 13 | 2017 | 14 | |
| 14 | 2016 | 196 | |
| 15 | 2014 | 10 | |
| 16 | 2014 | 7 | |
| 17 | 2012 | 10 | |
| 18 | Different mechanisms involved in the activity of BAY 43-9006 (Sorafenib) in human pancreatic cancer cell lines | 2008 | 1 |
| 19 | 2004 | 34 | |
| 20 | Analysis of single nucleotide polymorphisms in coding and non-coding regions of human BRCA1 and BRCA2 genes | 2004 | 1 |
About Daniele Calistri
Daniele Calistri is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 133 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (40 papers), Cancer Genomics and Diagnostics (34 papers), Lung Cancer Treatments and Mutations (20 papers), Colorectal Cancer Screening and Detection (18 papers), Colorectal Cancer Treatments and Studies (18 papers), BRCA gene mutations in cancer (15 papers), Epigenetics and DNA Methylation (14 papers) and Bladder and Urothelial Cancer Treatments (13 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.2k citations) and Pathology and Forensic Medicine (786 citations). Daniele Calistri has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Dino Amadori, Wainer Zoli, Valentina Casadio, Paola Ulivi, Samanta Salvi, Guglielmina Nadia Ranzani, Luca Saragoni, Claudia Rengucci, Roberta Gunelli and Ugo De Giorgi. Their work appears in journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.