Michele Bianchini
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Hematology 21
- Chronic Myeloid Leukemia Treatments 16
- Acute Myeloid Leukemia Research 8
- Genetics 15
- Chronic Lymphocytic Leukemia Research 13
- Co-authors
- José MordohEstrella Mariel LevyJuan Martín ArriagaAlicia BravoMaría Marcela BarrioCinzia ZucchiniLuisa ValvassoriMaría P. Roberti
- Journals
- International Journal of Oncology (3 papers)Innate Immunity (2 papers)Human Pathology (2 papers)Journal of Translational Medicine (2 papers)Blood Cells Molecules and Diseases (2 papers)
- Partner nations
- ArgentinaItalyUnited States
In The Last Decade
Michele Bianchini
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Hematology 236
- Immunology 432
- Oncology 421
- Genetics 159
- Cancer Research 117
Countries citing papers authored by Michele Bianchini
This map shows the geographic impact of Michele Bianchini'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 Michele Bianchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Bianchini more than expected).
Fields of papers citing papers by Michele Bianchini
This network shows the impact of papers produced by Michele Bianchini. 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 Michele Bianchini. The network helps show where Michele Bianchini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michele Bianchini, 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 | 2021 | 13 | |
| 2 | 2021 | 10 | |
| 3 | 2017 | 18 | |
| 4 | 2014 | 39 | |
| 5 | 2014 | 2 | |
| 6 | 2013 | 7 | |
| 7 | 2012 | 12 | |
| 8 | 2012 | 4 | |
| 9 | 2012 | 39 | |
| 10 | 2012 | 48 | |
| 11 | 2011 | 43 | |
| 12 | 2010 | 12 | |
| 13 | 2008 | 58 | |
| 14 | 2008 | 100 | |
| 15 | 2008 | 13 | |
| 16 | 2006 | 33 | |
| 17 | 2006 | 8 | |
| 18 | 2004 | 30 | |
| 19 | 2003 | 9 | |
| 20 | 2001 | 13 |
About Michele Bianchini
Michele Bianchini is a scholar working on Hematology, Genetics, Rheumatology, Immunology and Oncology, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (16 papers), Chronic Lymphocytic Leukemia Research (13 papers), Acute Myeloid Leukemia Research (8 papers), Eosinophilic Disorders and Syndromes (8 papers), Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Trace Elements in Health (4 papers). The work is most often cited by research in Hematology (236 citations), Immunology (432 citations), Oncology (421 citations), Genetics (159 citations) and Cancer Research (117 citations). Michele Bianchini has collaborated with scholars based in Argentina, Italy and United States. Frequent co-authors include José Mordoh, Estrella Mariel Levy, Juan Martín Arriaga, Alicia Bravo, María Marcela Barrio, Cinzia Zucchini, Luisa Valvassori, María P. Roberti, Yamila Rocca and David Furman. Their work appears in journals such as International Journal of Oncology, Innate Immunity, Human Pathology, Journal of Translational Medicine and Blood Cells Molecules and Diseases.
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.