Alessandro Morotti
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments 30
- Acute Myeloid Leukemia Research 11
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 20
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Cancer Research top 5%
- NF-κB Signaling Pathways 9
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 11
- Protein Degradation and Inhibitors 6
- Hepatology top 5%
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- Acute Lymphoblastic Leukemia research 7
- Co-authors
- Giuseppe SaglioCarola PonzettoGiovanna CarràPier Paolo PandolfiAngelo GuerrasioIsabella RussoJulie Teruya‐FeldsteinCristina Barale
- Cited by
- HematologyGeneticsCancer Research
- Journals
- Blood (9 papers)International Journal of Molecular Sciences (8 papers)Oncotarget (4 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Alessandro Morotti
82 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 107
- Hematology 621
- Genetics 298
- Cancer Research 342
- Molecular Biology 1.2k
- Hepatology 134
Countries citing papers authored by Alessandro Morotti
This map shows the geographic impact of Alessandro Morotti'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 Morotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Morotti more than expected).
Fields of papers citing papers by Alessandro Morotti
This network shows the impact of papers produced by Alessandro Morotti. 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 Morotti. The network helps show where Alessandro Morotti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alessandro Morotti, 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 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 66 | |
| 6 | 2019 | 16 | |
| 7 | 2019 | 9 | |
| 8 | 2019 | 11 | |
| 9 | 2017 | 3 | |
| 10 | 2017 | 16 | |
| 11 | 2016 | 31 | |
| 12 | 2016 | 24 | |
| 13 | 2016 | 5 | |
| 14 | 2015 | 2 | |
| 15 | Morgana haploinsufficiency induces a myeloproliferative disorder like-chronic myeloid leukemia in mice. | 2011 | 1 |
| 16 | 2008 | 24 | |
| 17 | 2006 | 37 | |
| 18 | 2006 | 30 | |
| 19 | 2004 | 26 | |
| 20 | The quantitaive assessment of WT1 gene expression as a method to predict response to STI571 therapy in CML patients | 2002 | 1 |
About Alessandro Morotti
Alessandro Morotti is a scholar working on Hematology, Genetics and Cancer Research, having authored 88 papers that have together received 2.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (30 papers), Chronic Lymphocytic Leukemia Research (20 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), Acute Myeloid Leukemia Research (11 papers), NF-κB Signaling Pathways (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Protein Degradation and Inhibitors (6 papers). The work is most often cited by research in Hematology (621 citations), Genetics (298 citations) and Cancer Research (342 citations). Alessandro Morotti has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Giuseppe Saglio, Carola Ponzetto, Giovanna Carrà, Pier Paolo Pandolfi, Angelo Guerrasio, Isabella Russo, Julie Teruya‐Feldstein, Cristina Barale, Cristina Panuzzo and Riccardo Taulli. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Oncotarget, Cancers and Cancer.
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.