Stefano Spada
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Equine top 10%
Papers in
- Hematology 10
- Multiple Myeloma Research and Treatments 10
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- Veterinary Medicine and Surgery 8
- Co-authors
- Mario Boccadoro (9 shared papers)Rossella Troia (4 shared papers)Antonio Palumbo (7 shared papers)Michèle Cavo (4 shared papers)Paola Omedè (4 shared papers)Maria Teresa Petrucci (2 shared papers)Vittorio Montefusco (5 shared papers)Stelvio Ballanti (2 shared papers)
- Journals
- Animals (3 papers)Journal of Clinical Oncology (3 papers)Cancer (2 papers)Theriogenology (2 papers)Animal Reproduction Science (2 papers)
- Partner nations
- ItalyBrazilUnited Kingdom
In The Last Decade
Stefano Spada
22 papers receiving 267 citations
Peers
Comparison fields: 5 of 48
- Hematology 178
- Equine 9
- Oncology 108
- Small Animals 25
- Molecular Biology 165
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 62 | |
| 2 | 2018 | 35 | |
| 3 | 2018 | 32 | |
| 4 | 2019 | 19 | |
| 5 | 2005 | 17 | |
| 6 | 2020 | 17 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 11 | |
| 9 | 1998 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 2021 | 5 | |
| 17 | [Predictive variables of mortality in elderly patients after hospitalization. Significance of multidimensional evaluation]. | 2001 | 3 |
| 18 | 2025 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Stefano Spada
Stefano Spada is a scholar working on Hematology, Small Animals, Molecular Biology, Oncology and Genetics, having authored 26 papers that have together received 271 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Veterinary Medicine and Surgery (8 papers), Protein Degradation and Inhibitors (3 papers), Veterinary Equine Medical Research (3 papers), Reproductive Biology and Fertility (3 papers), Sperm and Testicular Function (2 papers), Cancer Treatment and Pharmacology (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Hematology (178 citations), Equine (9 citations), Oncology (108 citations), Small Animals (25 citations) and Molecular Biology (165 citations). Stefano Spada has collaborated with scholars based in Italy, Brazil and United Kingdom. Frequent co-authors include Mario Boccadoro, Rossella Troia, Antonio Palumbo, Michèle Cavo, Paola Omedè, Maria Teresa Petrucci, Vittorio Montefusco, Stelvio Ballanti, Barbara Gamberi and Pellegrino Musto. Their work appears in journals such as Animals, Journal of Clinical Oncology, Cancer, Theriogenology 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.