Paolo Servida
- Genetics top 1%
- Molecular Biology top 5%
- Oncology top 2%
- Immunology top 5%
- Hematology top 2%
- Co-authors
- Claudio BordignonGiuliana FerrariFulvio MavilioElisabetta ZapponeSilvano RossiniCatia TraversariChiara BoniniMaurilio Ponzoni
- Topics
- Virus-based gene therapy research (6 papers)Hematopoietic Stem Cell Transplantation (5 papers)Cytomegalovirus and herpesvirus research (3 papers)
- Cited by
- GeneticsOncologyHematology
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Paolo Servida
17 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Genetics 1.8k
- Molecular Biology 1.5k
- Oncology 1.3k
- Immunology 696
- Hematology 512
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-authorship network of co-authors of Paolo Servida
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Servida. A scholar is included among the top collaborators of Paolo Servida 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 Paolo Servida. Paolo Servida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 9 | |
| 3 | 19 | |
| 4 | 133 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | Correction of ADA-SCID by Stem Cell Gene Therapy Combined with Nonmyeloablative Conditioningbreakdown → | 808 |
| 10 | 42 | |
| 11 | 7 | |
| 12 | HSV-TK Gene Transfer into Donor Lymphocytes for Control of Allogeneic Graft-Versus-Leukemiabreakdown → | 951 |
| 13 | 123 | |
| 14 | Gene Therapy in Peripheral Blood Lymphocytes and Bone Marrow for ADA − Immunodeficient Patientsbreakdown → | 632 |
| 15 | 50 | |
| 16 | 34 | |
| 17 | 2 |
About Paolo Servida
Paolo Servida is a scholar working on Hematology, Genetics 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) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Genetics (1.8k citations), Oncology (1.3k citations) and Hematology (512 citations). Paolo Servida has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Claudio Bordignon, Giuliana Ferrari, Fulvio Mavilio, Elisabetta Zappone, Silvano Rossini, Catia Traversari, Chiara Bonini, Maurilio Ponzoni, Luciano Ruggieri and Daniela Maggioni. Their work appears in journals such as Science, Blood and British journal of surgery.
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.