Angelo Famà
Impact in
- Geriatrics and Gerontology top 10%
- Frailty in Older Adults
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 11
- Genetics 8
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Hemoglobinopathies and Related Disorders 2
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Alessandra Tucci (1 shared paper)Maria Giuseppina Cabras (1 shared paper)Flavia Salvi (1 shared paper)Chiara Bottelli (1 shared paper)Giuseppe Rossi (1 shared paper)Luigi Rigacci (3 shared papers)Francesco Bertagna (1 shared paper)Michele Spina (1 shared paper)
- Journals
- Blood (4 papers)Leukemia Research (2 papers)Journal of Clinical Oncology (2 papers)Hematological Oncology (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Angelo Famà
20 papers receiving 328 citations
Peers
Comparison fields: 5 of 47
- Geriatrics and Gerontology 51
- Genetics 104
- Pathology and Forensic Medicine 164
- Oncology 92
- Hepatology 26
Countries citing papers authored by Angelo Famà
This map shows the geographic impact of Angelo Famà'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 Angelo Famà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Famà more than expected).
Fields of papers citing papers by Angelo Famà
This network shows the impact of papers produced by Angelo Famà. 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 Angelo Famà. The network helps show where Angelo Famà may publish in the future.
Co-authors
The 25 scholars most cited alongside Angelo Famà, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 118 | |
| 2 | 2016 | 48 | |
| 3 | 2019 | 33 | |
| 4 | 2019 | 22 | |
| 5 | 2018 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2011 | 14 | |
| 8 | 2017 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2019 | 9 | |
| 12 | 2019 | 5 | |
| 13 | 2012 | 3 | |
| 14 | 2008 | 2 | |
| 15 | 2008 | 2 | |
| 16 | 2009 | 1 | |
| 17 | [Budd-Chiari syndrome and splanchnic vein thrombosis: masked myeloproliferative neoplasms and JAK2V617F]. | 2010 | 1 |
| 18 | 2018 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2020 | 1 |
About Angelo Famà
Angelo Famà is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Molecular Biology and Epidemiology, having authored 22 papers that have together received 334 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (5 papers), Kruppel-like factors research (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Geriatrics and Gerontology (51 citations), Genetics (104 citations), Pathology and Forensic Medicine (164 citations), Oncology (92 citations) and Hepatology (26 citations). Angelo Famà has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Alessandra Tucci, Maria Giuseppina Cabras, Flavia Salvi, Chiara Bottelli, Giuseppe Rossi, Luigi Rigacci, Francesco Bertagna, Michele Spina, Maurizio Martelli and Alberto Fabbri. Their work appears in journals such as Blood, Leukemia Research, Journal of Clinical Oncology, Hematological Oncology and Clinical Infectious Diseases.
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.