Silvano Battaglio
- Hematology top 2%
- Immunology top 10%
- Molecular Biology
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Mario BoccadoroAlessandro PileriMassimo MassaiaPaola OmedèAntonio PalumboAlberto BianchiUmberto DianzaniMarta Coscia
- Topics
- Multiple Myeloma Research and Treatments (20 papers)T-cell and B-cell Immunology (8 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
- Cited by
- HematologyImmunologyGenetics
In The Last Decade
Silvano Battaglio
29 papers receiving 614 citations
Peers
Comparison fields: 5 of 48
- Hematology 417
- Immunology 320
- Molecular Biology 253
- Oncology 179
- Radiology, Nuclear Medicine and Imaging 92
Countries citing papers authored by Silvano Battaglio
This map shows the geographic impact of Silvano Battaglio'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 Silvano Battaglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvano Battaglio more than expected).
Fields of papers citing papers by Silvano Battaglio
This network shows the impact of papers produced by Silvano Battaglio. 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 Silvano Battaglio. The network helps show where Silvano Battaglio may publish in the future.
Co-authorship network of co-authors of Silvano Battaglio
This figure shows the co-authorship network connecting the top 25 collaborators of Silvano Battaglio. A scholar is included among the top collaborators of Silvano Battaglio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvano Battaglio. Silvano Battaglio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | SERUM FREE LIGHT CHAINS (SFLC) ASSAY: A SUGGESTIVE NEW CRITERIA FOR EVALUATING DISEASE RESPONSE, PROGRESSION AND RELAPSE IN PLASMA-CELL DISORDERS (PD) AND A PROGNOSTIC FACTOR IN MONOCLONAL GAMMOPATHY OF UNDETERMINED SIGNIFICANCE (MGUS) | 1 |
| 2 | 49 | |
| 3 | 130 | |
| 4 | 17 | |
| 5 | 22 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | [Local immunity following treatment with S-carboxymethylcysteine-lysine in tracheotomy patients]. | 1 |
| 10 | 5 | |
| 11 | 15 | |
| 12 | Human homologue of Moloney leukemia virus integration-4 locus (MLVI-4), located 20 kilobases 3' of the myc gene, is rearranged in multiple myelomas. | 26 |
| 13 | 60 | |
| 14 | 58 | |
| 15 | 5 | |
| 16 | 15 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 27 | |
| 20 | 45 |
About Silvano Battaglio
Silvano Battaglio is a scholar working on Hematology, Immunology and Genetics, having authored 29 papers that have together received 626 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (20 papers), T-cell and B-cell Immunology (8 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Hematology (417 citations), Immunology (320 citations) and Genetics (75 citations). Silvano Battaglio has collaborated with scholars based in Italy, France and Slovakia. Frequent co-authors include Mario Boccadoro, Alessandro Pileri, Massimo Massaia, Paola Omedè, Antonio Palumbo, Alberto Bianchi, Umberto Dianzani, Marta Coscia, Valter Redoglia and P Napoli. Their work appears in journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.
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.