Daniela Intini
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 17
- Multiple Myeloma Research and Treatments 15
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- Protein Kinase Regulation and GTPase Signaling 3
- Glycosylation and Glycoproteins Research 3
- PI3K/AKT/mTOR signaling in cancer 3
- Ubiquitin and proteasome pathways 3
- Co-authors
- Antonino Neri (21 shared papers)Sonia Fabris (14 shared papers)Luca Baldini (11 shared papers)Luigia Lombardi (12 shared papers)Luca Agnelli (9 shared papers)Donata Verdelli (9 shared papers)Vincenzo Callea (5 shared papers)Fortunato Morabito (5 shared papers)
- Journals
- Blood (4 papers)Genes Chromosomes and Cancer (3 papers)British Journal of Haematology (2 papers)Leukemia (2 papers)Hematological Oncology (2 papers)
- Partner nations
- ItalySwitzerlandJapan
In The Last Decade
Daniela Intini
23 papers receiving 684 citations
Peers
Comparison fields: 5 of 63
- Hematology 302
- Genetics 176
- Molecular Biology 478
- Oncology 175
- Pathology and Forensic Medicine 108
Countries citing papers authored by Daniela Intini
This map shows the geographic impact of Daniela Intini'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 Daniela Intini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Intini more than expected).
Fields of papers citing papers by Daniela Intini
This network shows the impact of papers produced by Daniela Intini. 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 Daniela Intini. The network helps show where Daniela Intini may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Intini, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 143 | |
| 2 | 2005 | 104 | |
| 3 | 2005 | 90 | |
| 4 | 2001 | 54 | |
| 5 | 1999 | 49 | |
| 6 | 2008 | 41 | |
| 7 | 2004 | 39 | |
| 8 | 2001 | 24 | |
| 9 | 2000 | 21 | |
| 10 | 2007 | 21 | |
| 11 | 2003 | 18 | |
| 12 | 2003 | 18 | |
| 13 | 2008 | 17 | |
| 14 | 2007 | 15 | |
| 15 | Molecular and biological characterization of three novel interleukin-6-dependent human myeloma cell lines. | 2005 | 11 |
| 16 | 1999 | 7 | |
| 17 | 2006 | 6 | |
| 18 | 2012 | 6 | |
| 19 | 2005 | 4 | |
| 20 | 2004 | 3 |
About Daniela Intini
Daniela Intini is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 23 papers that have together received 696 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (15 papers), Peptidase Inhibition and Analysis (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Glycosylation and Glycoproteins Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Hematology (302 citations), Genetics (176 citations), Molecular Biology (478 citations), Oncology (175 citations) and Pathology and Forensic Medicine (108 citations). Daniela Intini has collaborated with scholars based in Italy, Switzerland and Japan. Frequent co-authors include Antonino Neri, Sonia Fabris, Luca Baldini, Luigia Lombardi, Luca Agnelli, Donata Verdelli, Vincenzo Callea, Fortunato Morabito, Anna Teresa Maiolo and Michela Mattioli. Their work appears in journals such as Blood, Genes Chromosomes and Cancer, British Journal of Haematology, Leukemia and Hematological Oncology.
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.