Olga Mulas
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
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- Chronic Lymphocytic Leukemia Research
- Hemoglobinopathies and Related Disorders
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 22
- Chronic Myeloid Leukemia Treatments 11
- Acute Myeloid Leukemia Research 6
- Blood groups and transfusion 4
- Genetics 15
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Hemoglobinopathies and Related Disorders 5
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Giovanni Caocci (27 shared papers)Giorgio La Nasa (24 shared papers)Marianna Greco (8 shared papers)Roberto Littera (3 shared papers)Carlo Carcassi (3 shared papers)Sara Galimberti (3 shared papers)Elisabetta Abruzzese (4 shared papers)Alessandro Nanni Costa (15 shared papers)
In The Last Decade
Olga Mulas
29 papers receiving 186 citations
Peers
Comparison fields: 5 of 48
- Hematology 105
- Genetics 77
- Immunology 52
- Rheumatology 36
- Oncology 48
Countries citing papers authored by Olga Mulas
This map shows the geographic impact of Olga Mulas'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 Olga Mulas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Mulas more than expected).
Fields of papers citing papers by Olga Mulas
This network shows the impact of papers produced by Olga Mulas. 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 Olga Mulas. The network helps show where Olga Mulas may publish in the future.
Co-authors
The 25 scholars most cited alongside Olga Mulas, 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 | 2015 | 42 | |
| 2 | 2013 | 28 | |
| 3 | 2017 | 13 | |
| 4 | 2020 | 10 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Olga Mulas
Olga Mulas is a scholar working on Hematology, Genetics, Oncology, Immunology and Molecular Biology, having authored 35 papers that have together received 190 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Acute Myeloid Leukemia Research (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Blood groups and transfusion (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (105 citations), Genetics (77 citations), Immunology (52 citations), Rheumatology (36 citations) and Oncology (48 citations). Olga Mulas has collaborated with scholars based in Italy, Austria and Japan. Frequent co-authors include Giovanni Caocci, Giorgio La Nasa, Marianna Greco, Roberto Littera, Carlo Carcassi, Sara Galimberti, Elisabetta Abruzzese, Alessandro Nanni Costa, Bruno Martino and Sara Lai. Their work appears in journals such as Journal of Clinical Medicine, Blood, Annals of Hematology, Experimental Hematology and Frontiers in Oncology.
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.