Carella Am
- Hematology top 2%
- Oncology top 10%
- Genetics top 5%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Rainer StorbPeter A. McSweeneyS SlavinRichard E. ChamplinFrancesco FrassoniEster PungolinoB T AlturaPrasad Turlapaty
- Topics
- Acute Myeloid Leukemia Research (14 papers)Chronic Lymphocytic Leukemia Research (12 papers)Hematopoietic Stem Cell Transplantation (12 papers)
- Cited by
- HematologyGeneticsOncology
- Partner nations
- ItalyUnited StatesEcuador
In The Last Decade
Carella Am
64 papers receiving 886 citations
Peers
Comparison fields: 5 of 93
- Hematology 572
- Oncology 234
- Genetics 199
- Public Health, Environmental and Occupational Health 133
- Molecular Biology 116
Countries citing papers authored by Carella Am
This map shows the geographic impact of Carella Am'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 Carella Am with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carella Am more than expected).
Fields of papers citing papers by Carella Am
This network shows the impact of papers produced by Carella Am. 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 Carella Am. The network helps show where Carella Am may publish in the future.
Co-authorship network of co-authors of Carella Am
This figure shows the co-authorship network connecting the top 25 collaborators of Carella Am. A scholar is included among the top collaborators of Carella Am 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 Carella Am. Carella Am is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | CARFILZOMIB, CYCLOPHOSPHAMIDE AND DEXAMETHASONE (KCYD) IN ELDERLY NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) PATIENTS: INITIAL RESULTS OF A PHASE 1 STUDY | 1 |
| 10 | 1 | |
| 11 | Metabolic Disorders in Hematologic Malignancies- AReview | 2 |
| 12 | 29 | |
| 13 | R-CVP versus R-CHOP versus R-FM as first-line therapy for advanced-stage follicular lymphoma: Final results of FOLL05 trial from the Fondazione Italiana Linfomi (FIL) | 6 |
| 14 | 25 | |
| 15 | 5 | |
| 16 | Reduced intensity conditioned allografts for myeloma : A study from the Chronic Leukaemia Working Party of the EBMT. | 1 |
| 17 | 13 | |
| 18 | [Circadian variation of lymphocyte subsets in health subjects]. | 6 |
| 19 | 29 | |
| 20 | 27 |
About Carella Am
Carella Am is a scholar working on Hematology, Genetics and Oncology, having authored 65 papers that have together received 943 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Hematopoietic Stem Cell Transplantation (12 papers). The work is most often cited by research in Hematology (572 citations), Genetics (199 citations) and Oncology (234 citations). Carella Am has collaborated with scholars based in Italy, United States and Ecuador. Frequent co-authors include Rainer Storb, Peter A. McSweeney, S Slavin, Richard E. Champlin, Francesco Frassoni, Ester Pungolino, B T Altura, Prasad Turlapaty, Marina Podestà and Augustin Ferrant. Their work appears in journals such as Blood, Annals of Oncology and British Journal of Haematology.
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.