Francesco Lanza
- Hematology top 0.2%
- Oncology top 2%
- Immunology top 2%
- Genetics top 1%
- Molecular Biology top 10%
- Co-authors
- Sabrina MorettiMohamad MohtyDiana CampioniRafael F. DuarteNicolaus KrögerAndrew R. GenneryPeter BaderCarlo Dufour
- Topics
- Hematopoietic Stem Cell Transplantation (48 papers)Acute Myeloid Leukemia Research (45 papers)Acute Lymphoblastic Leukemia research (26 papers)
- Cited by
- HematologyGeneticsTransplantation
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Francesco Lanza
154 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 123
- Hematology 2.1k
- Oncology 1.0k
- Immunology 920
- Genetics 822
- Molecular Biology 804
Countries citing papers authored by Francesco Lanza
This map shows the geographic impact of Francesco Lanza'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 Francesco Lanza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Lanza more than expected).
Fields of papers citing papers by Francesco Lanza
This network shows the impact of papers produced by Francesco Lanza. 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 Francesco Lanza. The network helps show where Francesco Lanza may publish in the future.
Co-authorship network of co-authors of Francesco Lanza
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Lanza. A scholar is included among the top collaborators of Francesco Lanza 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 Francesco Lanza. Francesco Lanza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | 38 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 4 | |
| 16 | 14 | |
| 17 | Cytofluorimetric analysis of cytokine receptors in blast cells from acute leukemia. Clinical and biological implications | 1 |
| 18 | Towards standardization in immunophenotyping hematological malignancies. How can we improve the reproducibility and comparability of flow cytometric results? Working Group on Leukemia Immunophenotyping. | 8 |
| 19 | 10 | |
| 20 | Hereditary myeloperoxidase deficiency syndrome. Clinical and haematological data of ten cases | 2 |
About Francesco Lanza
Francesco Lanza is a scholar working on Hematology, Genetics and Immunology, having authored 159 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (48 papers), Acute Myeloid Leukemia Research (45 papers) and Acute Lymphoblastic Leukemia research (26 papers). The work is most often cited by research in Hematology (2.1k citations), Genetics (822 citations) and Transplantation (121 citations). Francesco Lanza has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Sabrina Moretti, Mohamad Mohty, Diana Campioni, Rafael F. Duarte, Nicolaus Kröger, Andrew R. Gennery, Peter Bader, Carlo Dufour, Jakob Passweg and Helen Baldomero. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.