Erich Piovan
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 6
- Hedgehog Signaling Pathway Studies 3
- Oncology 11
- Chemokine receptors and signaling 5
- Co-authors
- Alberto Amadori (16 shared papers)Valeria Tosello (20 shared papers)L. Stievano (3 shared papers)Stefano Indraccolo (8 shared papers)Rita Zamarchi (5 shared papers)Luigi Chieco‐Bianchi (5 shared papers)Sonia Minuzzo (6 shared papers)Giovanni Esposito (3 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Leukemia (3 papers)Blood (3 papers)Journal of Medical Genetics (2 papers)Haematologica (2 papers)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Erich Piovan
33 papers receiving 897 citations
Peers
Comparison fields: 5 of 79
- Immunology 327
- Genetics 120
- Oncology 305
- Cancer Research 146
- Hematology 96
Countries citing papers authored by Erich Piovan
This map shows the geographic impact of Erich Piovan'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 Erich Piovan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erich Piovan more than expected).
Fields of papers citing papers by Erich Piovan
This network shows the impact of papers produced by Erich Piovan. 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 Erich Piovan. The network helps show where Erich Piovan may publish in the future.
Co-authors
The 25 scholars most cited alongside Erich Piovan, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 149 | |
| 2 | 2007 | 124 | |
| 3 | 2006 | 87 | |
| 4 | 2004 | 73 | |
| 5 | 2017 | 59 | |
| 6 | Gene transfer in ovarian cancer cells: a comparison between retroviral and lentiviral vectors. | 2002 | 49 |
| 7 | 2006 | 41 | |
| 8 | 2007 | 35 | |
| 9 | 2004 | 32 | |
| 10 | 1998 | 28 | |
| 11 | 1990 | 23 | |
| 12 | 2008 | 21 | |
| 13 | 2002 | 19 | |
| 14 | 2020 | 17 | |
| 15 | 2015 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2017 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2020 | 13 |
About Erich Piovan
Erich Piovan is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 33 papers that have together received 915 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Epigenetics and DNA Methylation (6 papers), Chemokine receptors and signaling (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Acute Myeloid Leukemia Research (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). The work is most often cited by research in Immunology (327 citations), Genetics (120 citations), Oncology (305 citations), Cancer Research (146 citations) and Hematology (96 citations). Erich Piovan has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Alberto Amadori, Valeria Tosello, L. Stievano, Stefano Indraccolo, Rita Zamarchi, Luigi Chieco‐Bianchi, Sonia Minuzzo, Giovanni Esposito, Sonia Zorzet and Paolo Macor. Their work appears in journals such as International Journal of Molecular Sciences, Leukemia, Blood, Journal of Medical Genetics and Haematologica.
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.