Alessandro Laganà
- Cancer Research top 2%
- MicroRNA in disease regulation 26
- Cancer-related molecular mechanisms research 11
- Cancer Genomics and Diagnostics 8
- Hematology top 5%
- Multiple Myeloma Research and Treatments 35
- Molecular Biology top 5%
- Protein Degradation and Inhibitors 18
- RNA modifications and cancer 14
- Oncology top 5%
- CAR-T cell therapy research 10
- Immunology top 10%
- Immunotherapy and Immune Responses 8
- Co-authors
- Carlo M. CroceAlfredo FerroAlfredo PulvirentiRosalba GiugnoSamir ParekhFrancesco RussoGiovanni NigitaMichela Garofalo
- Journals
- Blood (22 papers)Advances in experimental medicine and biology (7 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Alessandro Laganà
83 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 919
- Hematology 272
- Molecular Biology 1.6k
- Oncology 545
- Immunology 308
Countries citing papers authored by Alessandro Laganà
This map shows the geographic impact of Alessandro Laganà'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 Alessandro Laganà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Laganà more than expected).
Fields of papers citing papers by Alessandro Laganà
This network shows the impact of papers produced by Alessandro Laganà. 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 Alessandro Laganà. The network helps show where Alessandro Laganà may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alessandro Laganà, 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 | 2024 | 7 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 125 | |
| 9 | 2021 | 151 | |
| 10 | 2021 | 1 | |
| 11 | 2019 | 59 | |
| 12 | 2019 | 9 | |
| 13 | 2019 | 0 | |
| 14 | 2018 | 3 | |
| 15 | 2018 | 8 | |
| 16 | 2017 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2013 | 55 | |
| 19 | 2013 | 9 | |
| 20 | 2012 | 138 |
About Alessandro Laganà
Alessandro Laganà is a scholar working on Hematology, Cancer Research and Molecular Biology, having authored 87 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (35 papers), MicroRNA in disease regulation (26 papers), Protein Degradation and Inhibitors (18 papers), RNA modifications and cancer (14 papers), Cancer-related molecular mechanisms research (11 papers), CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (8 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Cancer Research (919 citations), Hematology (272 citations) and Molecular Biology (1.6k citations). Alessandro Laganà has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Carlo M. Croce, Alfredo Ferro, Alfredo Pulvirenti, Rosalba Giugno, Samir Parekh, Francesco Russo, Giovanni Nigita, Michela Garofalo, Sundar Jagannath and Dario Veneziano. Their work appears in journals such as Blood, Advances in experimental medicine and biology, Proceedings of the National Academy of Sciences, PLoS ONE and Seminars in Hematology.
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.