Daniela Lisini
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Mesenchymal stem cell research
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 15
- Hematopoietic Stem Cell Transplantation 12
- Immunology 15
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 5
- Co-authors
- Simona Frigerio (11 shared papers)Rita Maccario (12 shared papers)Anna Bersano (4 shared papers)Sara Nava (9 shared papers)Daniela Montagna (9 shared papers)Franco Locatelli (8 shared papers)Giovanna Giorgiani (6 shared papers)Eugenio Parati (7 shared papers)
- Journals
- Blood (3 papers)International Journal of Molecular Sciences (3 papers)Experimental Hematology (3 papers)Cytotherapy (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Daniela Lisini
35 papers receiving 630 citations
Peers
Comparison fields: 5 of 67
- Hematology 234
- Genetics 191
- Immunology 271
- Transplantation 22
- Oncology 191
Countries citing papers authored by Daniela Lisini
This map shows the geographic impact of Daniela Lisini'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 Daniela Lisini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Lisini more than expected).
Fields of papers citing papers by Daniela Lisini
This network shows the impact of papers produced by Daniela Lisini. 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 Daniela Lisini. The network helps show where Daniela Lisini may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Lisini, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 52 | |
| 2 | 2007 | 44 | |
| 3 | 2013 | 43 | |
| 4 | 2016 | 37 | |
| 5 | 2021 | 36 | |
| 6 | 2006 | 36 | |
| 7 | 2009 | 33 | |
| 8 | 2006 | 33 | |
| 9 | 2004 | 30 | |
| 10 | 2007 | 26 | |
| 11 | 2017 | 24 | |
| 12 | 2003 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2015 | 20 | |
| 15 | 2023 | 19 | |
| 16 | 2018 | 16 | |
| 17 | 2005 | 15 | |
| 18 | 2006 | 15 | |
| 19 | 2012 | 12 | |
| 20 | 2014 | 12 |
About Daniela Lisini
Daniela Lisini is a scholar working on Hematology, Immunology, Oncology, Genetics and Molecular Biology, having authored 35 papers that have together received 638 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Immune Cell Function and Interaction (9 papers), Mesenchymal stem cell research (8 papers), CAR-T cell therapy research (8 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (5 papers), Cancer Cells and Metastasis (4 papers) and Occupational and environmental lung diseases (4 papers). The work is most often cited by research in Hematology (234 citations), Genetics (191 citations), Immunology (271 citations), Transplantation (22 citations) and Oncology (191 citations). Daniela Lisini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Simona Frigerio, Rita Maccario, Anna Bersano, Sara Nava, Daniela Montagna, Franco Locatelli, Giovanna Giorgiani, Eugenio Parati, Marco Zecca and Enrica Montini. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Experimental Hematology, Cytotherapy and British Journal of Haematology.
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.