Andrea Velardi
- Immunology top 0.05%
- Hematology top 0.05%
- Oncology top 0.5%
- Epidemiology top 2%
- Molecular Biology top 10%
- Co-authors
- Loredana RuggeriMaria Paola MartelliFranco AversaKatia PerruccioMarusca CapanniElena UrbaniAntonellá TostiAntonella Mancusi
- Topics
- Hematopoietic Stem Cell Transplantation (108 papers)T-cell and B-cell Immunology (104 papers)Immune Cell Function and Interaction (102 papers)
- Cited by
- HematologyImmunologyOncology
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Andrea Velardi
197 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 10.3k
- Hematology 7.7k
- Oncology 4.1k
- Epidemiology 1.5k
- Molecular Biology 1.2k
Countries citing papers authored by Andrea Velardi
This map shows the geographic impact of Andrea Velardi'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 Andrea Velardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Velardi more than expected).
Fields of papers citing papers by Andrea Velardi
This network shows the impact of papers produced by Andrea Velardi. 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 Andrea Velardi. The network helps show where Andrea Velardi may publish in the future.
Co-authorship network of co-authors of Andrea Velardi
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Velardi. A scholar is included among the top collaborators of Andrea Velardi 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 Andrea Velardi. Andrea Velardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | Mother donors improve outcomes after HLA haploidentical T cell-depleted hematopoietic transplantation: A Retrospective Study by the Cell Therapy and Immunobiology Working Party of the EBMT | 2 |
| 9 | 15 | |
| 10 | 220 | |
| 11 | 161 | |
| 12 | 456 | |
| 13 | 67 | |
| 14 | 19 | |
| 15 | 37 | |
| 16 | 38 | |
| 17 | 30 | |
| 18 | 51 | |
| 19 | Le questionnaire de dissociation DIS-Q: résultats préliminaires dans une population suisse francophone | 6 |
| 20 | 44 |
About Andrea Velardi
Andrea Velardi is a scholar working on Hematology, Immunology and Transplantation, having authored 201 papers that have together received 14.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (108 papers), T-cell and B-cell Immunology (104 papers) and Immune Cell Function and Interaction (102 papers). The work is most often cited by research in Hematology (7.7k citations), Immunology (10.3k citations) and Oncology (4.1k citations). Andrea Velardi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Loredana Ruggeri, Maria Paola Martelli, Franco Aversa, Katia Perruccio, Marusca Capanni, Elena Urbani, Antonellá Tosti, Antonella Mancusi, Daniela Rogaia and Warren D. Shlomchik. Their work appears in journals such as Science, New England Journal of Medicine and Nature Communications.
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.