Marilina Amabile
- Hematology top 0.2%
- Genetics top 0.5%
- Rheumatology top 0.5%
- Molecular Biology
- Oncology top 10%
- Co-authors
- Giovanni MartinelliMichele BaccaraniNicoletta TestoniGianantonio RostiSimona SoveriniS TuraGiuseppe SaglioElisabetta Abruzzese
- Topics
- Chronic Myeloid Leukemia Treatments (59 papers)Chronic Lymphocytic Leukemia Research (45 papers)Eosinophilic Disorders and Syndromes (25 papers)
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Marilina Amabile
79 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 79
- Hematology 2.5k
- Genetics 1.6k
- Rheumatology 1.1k
- Molecular Biology 522
- Oncology 423
Countries citing papers authored by Marilina Amabile
This map shows the geographic impact of Marilina Amabile'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 Marilina Amabile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marilina Amabile more than expected).
Fields of papers citing papers by Marilina Amabile
This network shows the impact of papers produced by Marilina Amabile. 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 Marilina Amabile. The network helps show where Marilina Amabile may publish in the future.
Co-authorship network of co-authors of Marilina Amabile
This figure shows the co-authorship network connecting the top 25 collaborators of Marilina Amabile. A scholar is included among the top collaborators of Marilina Amabile 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 Marilina Amabile. Marilina Amabile is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 32 | |
| 5 | 64 | |
| 6 | 58 | |
| 7 | GENOME-WIDE SCREENING OF CHRONIC MYELOID LEUKEMIA PATIENTS BY SNP ARRAYS: ALTERATIONS ASSOCIATED WITH DISEASE PROGRESSION | 2 |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 21 | |
| 11 | 183 | |
| 12 | 56 | |
| 13 | 11 | |
| 14 | Real-time quantification of different types of bcr-abl transcript in chronic myeloid leukemia. | 36 |
| 15 | 20 | |
| 16 | 9 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 16 | |
| 20 | 42 |
About Marilina Amabile
Marilina Amabile is a scholar working on Hematology, Genetics and Rheumatology, having authored 80 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (59 papers), Chronic Lymphocytic Leukemia Research (45 papers) and Eosinophilic Disorders and Syndromes (25 papers). The work is most often cited by research in Hematology (2.5k citations), Genetics (1.6k citations) and Rheumatology (1.1k citations). Marilina Amabile has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Giovanni Martinelli, Michele Baccarani, Nicoletta Testoni, Gianantonio Rosti, Simona Soverini, S Tura, Giuseppe Saglio, Elisabetta Abruzzese, Fabrizio Pane and Fausto Castagnetti. Their work appears in journals such as The Lancet, Journal of Clinical Oncology 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.