Vittorio Perfetti
- Nephrology top 1%
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 6
- Hematology top 2%
- Multiple Myeloma Research and Treatments 13
- Molecular Biology top 2%
- Amyloidosis: Diagnosis, Treatment, Outcomes 47
- Protein Kinase Regulation and GTPase Signaling 10
- Oncology top 5%
- Peptidase Inhibition and Analysis 8
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- Monoclonal and Polyclonal Antibodies Research 9
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- Neuroendocrine Tumor Research Advances 8
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- Alzheimer's disease research and treatments 6
- Co-authors
- Giampaolo MerliniGiovanni PalladiniLaura ObiciRemigio MorattiFrancesca LavatelliStefano PerliniEdoardo AscariPaola Russo
- Cited by
- NephrologyGeneticsHematology
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Vittorio Perfetti
80 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 104
- Nephrology 525
- Genetics 747
- Hematology 557
- Molecular Biology 2.6k
- Oncology 744
Countries citing papers authored by Vittorio Perfetti
This map shows the geographic impact of Vittorio Perfetti'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 Vittorio Perfetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vittorio Perfetti more than expected).
Fields of papers citing papers by Vittorio Perfetti
This network shows the impact of papers produced by Vittorio Perfetti. 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 Vittorio Perfetti. The network helps show where Vittorio Perfetti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vittorio Perfetti, 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 | 2017 | 39 | |
| 2 | 2016 | 18 | |
| 3 | 2014 | 115 | |
| 4 | 2012 | 1 | |
| 5 | 2011 | 20 | |
| 6 | 2011 | 4 | |
| 7 | 2011 | 18 | |
| 8 | 2009 | 3 | |
| 9 | 2008 | 44 | |
| 10 | 2008 | 1 | |
| 11 | 2008 | 4 | |
| 12 | 2008 | 52 | |
| 13 | 2008 | 20 | |
| 14 | 2006 | 7 | |
| 15 | 2005 | 194 | |
| 16 | 2004 | 54 | |
| 17 | 2001 | 23 | |
| 18 | 1996 | 76 | |
| 19 | 1994 | 33 | |
| 20 | 1993 | 36 |
About Vittorio Perfetti
Vittorio Perfetti is a scholar working on Hematology, Genetics and Molecular Biology, having authored 80 papers that have together received 3.2k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (47 papers), Multiple Myeloma Research and Treatments (13 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Peptidase Inhibition and Analysis (8 papers), Neuroendocrine Tumor Research Advances (8 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Nephrology (525 citations), Genetics (747 citations) and Hematology (557 citations). Vittorio Perfetti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giampaolo Merlini, Giovanni Palladini, Laura Obici, Remigio Moratti, Francesca Lavatelli, Stefano Perlini, Edoardo Ascari, Paola Russo, Catherine Klersy and Vittorio Bellotti. Their work appears in journals such as Blood, British Journal of Haematology, Amyloid, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Molecular Immunology.
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.