R. Foà
Impact in
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 35
- Chronic Lymphocytic Leukemia Research 35
- Immunology 33
- Immunodeficiency and Autoimmune Disorders 19
- Immune Cell Function and Interaction 14
- Co-authors
- Anna Guarini (11 shared papers)Sabina Chiaretti (6 shared papers)F. Lauria (15 shared papers)Mt Fierro (4 shared papers)PF di Celle (4 shared papers)Massimo Massaia (5 shared papers)S Cardona (3 shared papers)C Attisano (3 shared papers)
- Journals
- Haematologica (13 papers)Blood (7 papers)British Journal of Haematology (6 papers)Leukemia (3 papers)Annals of Oncology (3 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
R. Foà
65 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 85
- Genetics 1.0k
- Hematology 617
- Immunology 1.1k
- Pathology and Forensic Medicine 798
- Oncology 475
Countries citing papers authored by R. Foà
This map shows the geographic impact of R. Foà'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 R. Foà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Foà more than expected).
Fields of papers citing papers by R. Foà
This network shows the impact of papers produced by R. Foà. 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 R. Foà. The network helps show where R. Foà may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Foà, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 154 | |
| 2 | 1987 | 148 | |
| 3 | 2001 | 147 | |
| 4 | 1990 | 124 | |
| 5 | 2011 | 122 | |
| 6 | 1987 | 104 | |
| 7 | In vitro and in vivo susceptibility of human leukemic cells to lymphokine activated killer activity. | 1988 | 79 |
| 8 | 2007 | 76 | |
| 9 | 2011 | 70 | |
| 10 | 2011 | 69 | |
| 11 | 2016 | 68 | |
| 12 | 2010 | 64 | |
| 13 | 2009 | 62 | |
| 14 | 2009 | 60 | |
| 15 | 1983 | 57 | |
| 16 | 1992 | 56 | |
| 17 | 2011 | 54 | |
| 18 | 2014 | 50 | |
| 19 | 1985 | 45 | |
| 20 | 2007 | 44 |
About R. Foà
R. Foà is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Hematology and Public Health, Environmental and Occupational Health, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (35 papers), Lymphoma Diagnosis and Treatment (23 papers), Immunodeficiency and Autoimmune Disorders (19 papers), Immune Cell Function and Interaction (14 papers), Acute Lymphoblastic Leukemia research (13 papers), Acute Myeloid Leukemia Research (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Chronic Myeloid Leukemia Treatments (8 papers). The work is most often cited by research in Genetics (1.0k citations), Hematology (617 citations), Immunology (1.1k citations), Pathology and Forensic Medicine (798 citations) and Oncology (475 citations). R. Foà has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Anna Guarini, Sabina Chiaretti, F. Lauria, Mt Fierro, PF di Celle, Massimo Massaia, S Cardona, C Attisano, Livio Trentin and Gianpietro Semenzato. Their work appears in journals such as Haematologica, Blood, British Journal of Haematology, Leukemia and Annals of 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.