Michele Bianchini

1.6k citations
45 papers · 1.2k indexed · h-index 19

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

    • Chronic Myeloid Leukemia Treatments 16
    • Acute Myeloid Leukemia Research 8
    • Chronic Lymphocytic Leukemia Research 13

Michele Bianchini

45 papers receiving 1.2k citations

Peers

Michele Bianchini
Comparison fields: 5 of 92
  • Hematology 236
  • Immunology 432
  • Oncology 421
  • Genetics 159
  • Cancer Research 117
Replace Emma F. Barry with:
Emma F. Barry Australia
Justine E. Roderick United States
Maria Grazia di Iasio Italy
Miranda Buitenhuis Netherlands
Tae Kon Kim United States
C. O'Keefe United States
Shunsuke Yanoma Japan
Bonnie K. Arendt United States
J.Y. Scoazec France
Francesca Arruga Italy
Michele Bianchini relative to Emma F. Barry Australia Emma F. Barry's profile →
Citations per field
00.5×1.5×2.5×
Emma F. Barry · 1×
Citations per year

Countries citing papers authored by Michele Bianchini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michele Bianchini Line = papers co-authored together Michele Bianchini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202113
2 202110
3 201718
4 201439
5 20142
6 20137
7 201212
8 20124
9 201239
10 201248
11 201143
12 201012
13 200858
14 2008100
15 200813
16 200633
17 20068
18 200430
19 20039
20 200113

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.

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