Daniela Dalfior
Impact in
- Immunology and Allergy top 5%
- Food Allergy and Anaphylaxis Research
- Immunology top 10%
- Mast cells and histamine
Papers in
-
- Breast Lesions and Carcinomas 3
- Soft tissue tumors and treatment 2
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- Mast cells and histamine 2
- Co-authors
- Gianenrico Senna (1 shared paper)Sabrina Colarossi (2 shared papers)Giovanni Pizzolo (2 shared papers)Beatrice Caruso (2 shared papers)Annarita Dama (2 shared papers)Omar Perbellini (2 shared papers)Patrizia Bonadonna (2 shared papers)Giovanni Passalacqua (2 shared papers)
- Journals
- Cancer (2 papers)Journal of Allergy and Clinical Immunology (2 papers)Pathology (1 paper)Cancer Cytopathology (1 paper)The Breast Journal (1 paper)
- Partner nations
- ItalyNew Zealand
In The Last Decade
Daniela Dalfior
12 papers receiving 426 citations
Peers
Comparison fields: 5 of 33
- Immunology and Allergy 132
- Immunology 214
- Pathology and Forensic Medicine 70
- Infectious Diseases 14
- Pharmacology 11
Countries citing papers authored by Daniela Dalfior
This map shows the geographic impact of Daniela Dalfior'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 Dalfior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Dalfior more than expected).
Fields of papers citing papers by Daniela Dalfior
This network shows the impact of papers produced by Daniela Dalfior. 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 Dalfior. The network helps show where Daniela Dalfior may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Dalfior, 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 | 2009 | 324 | |
| 2 | 2008 | 31 | |
| 3 | 2009 | 22 | |
| 4 | 2007 | 16 | |
| 5 | 2008 | 16 | |
| 6 | 2008 | 14 | |
| 7 | 2008 | 13 | |
| 8 | 2007 | 6 | |
| 9 | 2009 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2009 | 3 | |
| 12 | 2008 | 2 |
About Daniela Dalfior
Daniela Dalfior is a scholar working on Pathology and Forensic Medicine, Immunology, Dermatology, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 456 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (3 papers), Soft tissue tumors and treatment (2 papers), Mast cells and histamine (2 papers), Cancer and Skin Lesions (1 paper), Vascular Tumors and Angiosarcomas (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Parasitic Diseases Research and Treatment (1 paper) and Tuberous Sclerosis Complex Research (1 paper). The work is most often cited by research in Immunology and Allergy (132 citations), Immunology (214 citations), Pathology and Forensic Medicine (70 citations), Infectious Diseases (14 citations) and Pharmacology (11 citations). Daniela Dalfior has collaborated with scholars based in Italy and New Zealand. Frequent co-authors include Gianenrico Senna, Sabrina Colarossi, Giovanni Pizzolo, Beatrice Caruso, Annarita Dama, Omar Perbellini, Patrizia Bonadonna, Giovanni Passalacqua, Chiara Bonetto and Roberta Zanotti. Their work appears in journals such as Cancer, Journal of Allergy and Clinical Immunology, Pathology, Cancer Cytopathology and The Breast Journal.
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.