Roberto Ria
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments 77
- Platelet Disorders and Treatments 19
- Oncology top 1%
- Peptidase Inhibition and Analysis 14
- Chemokine receptors and signaling 12
- Cancer Treatment and Pharmacology 12
- Genetics top 1%
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms 12
- Immunology and Allergy top 2%
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- Angiogenesis and VEGF in Cancer 24
- Protein Degradation and Inhibitors 15
- Co-authors
- Angelo VaccaDoménico RibattiFranco DammaccoBeatrice NicoMonica IurlaroMarco PrestaLuisa RoncaliMonica Minischetti
- Cited by
- HematologyOncologyGenetics
- Journals
- Blood (15 papers)Clinical and Experimental Medicine (6 papers)Clinical Cancer Research (5 papers)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Roberto Ria
155 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 138
- Hematology 3.1k
- Oncology 2.3k
- Genetics 826
- Cancer Research 937
- Immunology and Allergy 338
Countries citing papers authored by Roberto Ria
This map shows the geographic impact of Roberto Ria'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 Roberto Ria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Ria more than expected).
Fields of papers citing papers by Roberto Ria
This network shows the impact of papers produced by Roberto Ria. 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 Roberto Ria. The network helps show where Roberto Ria may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roberto Ria, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 1 | |
| 7 | 2020 | 7 | |
| 8 | 2018 | 29 | |
| 9 | 2014 | 53 | |
| 10 | 2013 | 50 | |
| 11 | 2013 | 54 | |
| 12 | 2009 | 75 | |
| 13 | 2009 | 93 | |
| 14 | 2009 | 51 | |
| 15 | 2008 | 37 | |
| 16 | 2008 | 250 | |
| 17 | 2002 | 111 | |
| 18 | 2000 | 129 | |
| 19 | 2000 | 67 | |
| 20 | 2000 | 38 |
About Roberto Ria
Roberto Ria is a scholar working on Hematology, Oncology, Genetics, Immunology and Allergy and Cancer Research, having authored 160 papers that have together received 6.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (77 papers), Angiogenesis and VEGF in Cancer (24 papers), Platelet Disorders and Treatments (19 papers), Protein Degradation and Inhibitors (15 papers), Peptidase Inhibition and Analysis (14 papers), Protease and Inhibitor Mechanisms (12 papers), Chemokine receptors and signaling (12 papers) and Cancer Treatment and Pharmacology (12 papers). The work is most often cited by research in Hematology (3.1k citations), Oncology (2.3k citations), Genetics (826 citations), Cancer Research (937 citations) and Immunology and Allergy (338 citations). Roberto Ria has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Angelo Vacca, Doménico Ribatti, Franco Dammacco, Beatrice Nico, Monica Iurlaro, Marco Presta, Luisa Roncali, Monica Minischetti, Adriana Albini and Federico Bussolino. Their work appears in journals such as Blood, Clinical and Experimental Medicine, Clinical Cancer Research, Journal of Clinical Medicine and Leukemia.
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.