Stefano Spada
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Equine top 10%
Papers in
-
- Protein Degradation and Inhibitors 5
- Hematology 10
- Multiple Myeloma Research and Treatments 10
- Co-authors
- Mario Boccadoro (9 shared papers)Rossella Troia (4 shared papers)Michèle Cavo (4 shared papers)Paola Omedè (4 shared papers)Antonio Palumbo (7 shared papers)Maria Teresa Petrucci (2 shared papers)Barbara Gamberi (3 shared papers)Vittorio Montefusco (5 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Cancer (2 papers)Theriogenology (2 papers)Animals (2 papers)Animal Reproduction Science (2 papers)
- Partner nations
- ItalyBrazilUnited Kingdom
In The Last Decade
Stefano Spada
21 papers receiving 257 citations
Peers
Comparison fields: 5 of 51
- Hematology 181
- Equine 11
- Oncology 128
- Small Animals 25
- Molecular Biology 187
Countries citing papers authored by Stefano Spada
This map shows the geographic impact of Stefano Spada'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 Stefano Spada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Spada more than expected).
Fields of papers citing papers by Stefano Spada
This network shows the impact of papers produced by Stefano Spada. 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 Stefano Spada. The network helps show where Stefano Spada may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefano Spada, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 62 | |
| 2 | 2018 | 34 | |
| 3 | 2018 | 28 | |
| 4 | 2019 | 19 | |
| 5 | 2005 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 11 | |
| 9 | 1998 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2025 | 2 | |
| 18 | [Predictive variables of mortality in elderly patients after hospitalization. Significance of multidimensional evaluation]. | 2001 | 2 |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Stefano Spada
Stefano Spada is a scholar working on Molecular Biology, Hematology, Oncology, Small Animals and Genetics, having authored 25 papers that have together received 259 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Veterinary Medicine and Surgery (7 papers), Protein Degradation and Inhibitors (5 papers), Cancer Treatment and Pharmacology (3 papers), Reproductive Biology and Fertility (3 papers), Veterinary Equine Medical Research (3 papers), Peptidase Inhibition and Analysis (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (181 citations), Equine (11 citations), Oncology (128 citations), Small Animals (25 citations) and Molecular Biology (187 citations). Stefano Spada has collaborated with scholars based in Italy, Brazil and United Kingdom. Frequent co-authors include Mario Boccadoro, Rossella Troia, Michèle Cavo, Paola Omedè, Antonio Palumbo, Maria Teresa Petrucci, Barbara Gamberi, Vittorio Montefusco, Stelvio Ballanti and Pieter Sonneveld. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Theriogenology, Animals and Animal Reproduction Science.
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.