Rocco Savino
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions 15
- Immunology top 2%
- Hematology top 2%
- Multiple Myeloma Research and Treatments 9
- Molecular Biology top 5%
- Cancer Research top 5%
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- Advanced Proteomics Techniques and Applications 11
- Mass Spectrometry Techniques and Applications 8
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- Asthma and respiratory diseases 8
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- Virus-based gene therapy research 6
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- Antimicrobial Peptides and Activities 6
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- Oral microbiology and periodontitis research 6
- Co-authors
- Gennaro CilibertoRosa TerraccianoSusan A. GerbiRichard JoveTerry H. LandowskiLynn C. MoscinskiGabriel NúñezAlexander Levitzki
- Cited by
- OncologyImmunologyHematology
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Rocco Savino
83 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Oncology 2.1k
- Immunology 1.0k
- Hematology 529
- Molecular Biology 2.4k
- Cancer Research 525
Countries citing papers authored by Rocco Savino
This map shows the geographic impact of Rocco Savino'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 Rocco Savino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rocco Savino more than expected).
Fields of papers citing papers by Rocco Savino
This network shows the impact of papers produced by Rocco Savino. 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 Rocco Savino. The network helps show where Rocco Savino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rocco Savino, 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 | 2024 | 6 | |
| 2 | 2021 | 56 | |
| 3 | 2018 | 28 | |
| 4 | 2017 | 9 | |
| 5 | 2017 | 78 | |
| 6 | 2014 | 19 | |
| 7 | 2013 | 4 | |
| 8 | 2013 | 112 | |
| 9 | 2013 | 7 | |
| 10 | 2012 | 30 | |
| 11 | 2010 | 47 | |
| 12 | 2010 | 25 | |
| 13 | 2009 | 23 | |
| 14 | 2008 | 52 | |
| 15 | 2008 | 35 | |
| 16 | 2001 | 38 | |
| 17 | Constitutive Activation of Stat3 Signaling Confers Resistance to Apoptosis in Human U266 Myeloma Cellsbreakdown → | 1999 | 1408 |
| 18 | 1995 | 31 | |
| 19 | 1995 | 6 | |
| 20 | 1992 | 21 |
About Rocco Savino
Rocco Savino is a scholar working on Periodontics, Microbiology and Oncology, having authored 83 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (15 papers), Advanced Proteomics Techniques and Applications (11 papers), Multiple Myeloma Research and Treatments (9 papers), Mass Spectrometry Techniques and Applications (8 papers), Asthma and respiratory diseases (8 papers), Virus-based gene therapy research (6 papers), Antimicrobial Peptides and Activities (6 papers) and Oral microbiology and periodontitis research (6 papers). The work is most often cited by research in Oncology (2.1k citations), Immunology (1.0k citations) and Hematology (529 citations). Rocco Savino has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Gennaro Ciliberto, Rosa Terracciano, Susan A. Gerbi, Richard Jove, Terry H. Landowski, Lynn C. Moscinski, Gabriel Núñez, Alexander Levitzki, Robyn Catlett-Falcone and James Turkson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.