Sonia Morè
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
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- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 21
- Multiple Myeloma Research and Treatments 16
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 3
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- Protein Degradation and Inhibitors 13
- Co-authors
- Laura Corvatta (17 shared papers)Massimo Offidani (16 shared papers)Attilio Olivieri (12 shared papers)Claudio Cerchione (1 shared paper)Giovanni Martinelli (1 shared paper)Erika Morsia (7 shared papers)Maria Teresa Petrucci (4 shared papers)Antonella Poloni (6 shared papers)
- Journals
- Cancers (4 papers)Frontiers in Oncology (2 papers)British Journal of Haematology (2 papers)Pharmaceuticals (2 papers)Blood (1 paper)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Sonia Morè
20 papers receiving 168 citations
Peers
Comparison fields: 5 of 31
- Hematology 112
- Oncology 68
- Genetics 14
- Radiology, Nuclear Medicine and Imaging 24
- Molecular Biology 62
Countries citing papers authored by Sonia Morè
This map shows the geographic impact of Sonia Morè'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 Sonia Morè with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Morè more than expected).
Fields of papers citing papers by Sonia Morè
This network shows the impact of papers produced by Sonia Morè. 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 Sonia Morè. The network helps show where Sonia Morè may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonia Morè, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 43 | |
| 2 | 2021 | 30 | |
| 3 | 2021 | 22 | |
| 4 | 2022 | 19 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2019 | 1 |
About Sonia Morè
Sonia Morè is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Epidemiology, having authored 26 papers that have together received 173 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Protein Degradation and Inhibitors (13 papers), Peptidase Inhibition and Analysis (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (112 citations), Oncology (68 citations), Genetics (14 citations), Radiology, Nuclear Medicine and Imaging (24 citations) and Molecular Biology (62 citations). Sonia Morè has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Laura Corvatta, Massimo Offidani, Attilio Olivieri, Claudio Cerchione, Giovanni Martinelli, Erika Morsia, Maria Teresa Petrucci, Antonella Poloni, Francesca Fazio and Giorgia Mancini. Their work appears in journals such as Cancers, Frontiers in Oncology, British Journal of Haematology, Pharmaceuticals 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.