Paolo Servida
Impact in
Papers in
-
- Hematopoietic Stem Cell Transplantation 5
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Claudio Bordignon (8 shared papers)Fulvio Mavilio (4 shared papers)Giuliana Ferrari (4 shared papers)Elisabetta Zappone (4 shared papers)Silvano Rossini (4 shared papers)Chiara Bonini (3 shared papers)Catia Traversari (3 shared papers)Maurilio Ponzoni (3 shared papers)
- Journals
- Blood (3 papers)Science (3 papers)Bone Marrow Transplantation (2 papers)Human Gene Therapy (2 papers)Hematology/Oncology Clinics of North America (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Paolo Servida
17 papers receiving 2.8k citations
Paolo Servida's Hit Papers
Peers
Comparison fields: 5 of 97
- Genetics 1.7k
- Oncology 1.2k
- Hematology 482
- Immunology 652
- Molecular Biology 1.4k
Countries citing papers authored by Paolo Servida
This map shows the geographic impact of Paolo Servida'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 Paolo Servida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Servida more than expected).
Fields of papers citing papers by Paolo Servida
This network shows the impact of papers produced by Paolo Servida. 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 Paolo Servida. The network helps show where Paolo Servida may publish in the future.
Co-authors
The 25 scholars most cited alongside Paolo Servida, 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 | HSV-TK Gene Transfer into Donor Lymphocytes for Control of Allogeneic Graft-Versus-Leukemia Hit paper breakdown → | 1997 | 952 |
| 2 | Correction of ADA-SCID by Stem Cell Gene Therapy Combined with Nonmyeloablative Conditioning Hit paper breakdown → | 2002 | 810 |
| 3 | Gene Therapy in Peripheral Blood Lymphocytes and Bone Marrow for ADA − Immunodeficient Patients Hit paper breakdown → | 1995 | 636 |
| 4 | 2007 | 133 | |
| 5 | 1995 | 124 | |
| 6 | 1995 | 50 | |
| 7 | 2001 | 42 | |
| 8 | 2012 | 34 | |
| 9 | 1993 | 34 | |
| 10 | 2006 | 21 | |
| 11 | 2008 | 19 | |
| 12 | 2004 | 15 | |
| 13 | 2009 | 9 | |
| 14 | 1998 | 7 | |
| 15 | 1993 | 2 | |
| 16 | 2005 | 1 | |
| 17 | 2006 | 1 |
About Paolo Servida
Paolo Servida is a scholar working on Hematology, Genetics, Epidemiology, Oncology and Genetics, having authored 17 papers that have together received 2.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Cytomegalovirus and herpesvirus research (3 papers), T-cell and B-cell Immunology (2 papers), RNA Interference and Gene Delivery (2 papers), Herpesvirus Infections and Treatments (2 papers), Immune Cell Function and Interaction (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Genetics (1.7k citations), Oncology (1.2k citations), Hematology (482 citations), Immunology (652 citations) and Molecular Biology (1.4k citations). Paolo Servida has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Claudio Bordignon, Fulvio Mavilio, Giuliana Ferrari, Elisabetta Zappone, Silvano Rossini, Chiara Bonini, Catia Traversari, Maurilio Ponzoni, Luciano Ruggieri and Nadia Nobili. Their work appears in journals such as Blood, Science, Bone Marrow Transplantation, Human Gene Therapy and Hematology/Oncology Clinics of North America.
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.