Gianni Binotto

3.5k citations
34 papers · 797 · h-index 11

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 11
    • Acute Myeloid Leukemia Research 5
    • Blood groups and transfusion 2
    • Chronic Lymphocytic Leukemia Research 9
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Gianni Binotto

32 papers receiving 775 citations

Peers

Gianni Binotto
Comparison fields: 5 of 93
  • Hematology 159
  • Genetics 118
  • Rheumatology 149
  • Immunology 196
  • Oncology 195
Replace Bradley K. Hack with:
Bradley K. Hack United States
Yasushi Nakamoto Japan
Sandrine Laradi France
F. W. Ballardie United Kingdom
Carella Am Italy
Annette J. Schlueter United States
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Erik J. M. Toonen Netherlands
Jiří Vorlíček Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Gianni Binotto

Since Specialization
Citations

This map shows the geographic impact of Gianni Binotto'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 Gianni Binotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianni Binotto more than expected).

Fields of papers citing papers by Gianni Binotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianni Binotto. 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 Gianni Binotto. The network helps show where Gianni Binotto may publish in the future.

Co-authors

The 25 scholars most cited alongside Gianni Binotto, 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 Gianni Binotto Line = papers co-authored together Gianni Binotto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013235
2 2001169
3 2004117
4 201655
5 200736
6 200326
7 200524
8 201716
9 201513
10 200112
11 202211
12 201110
13 20159
14 20227
15 20137
16
Apoptotic effect of cyclosporin a and dexamethasone in malignant cells of patients with B-chronic lymphocytic leukemia.
20107
17 20146
18 20126
19 20245
20 20084

About Gianni Binotto

Gianni Binotto is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Immunology, having authored 34 papers that have together received 797 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Acute Myeloid Leukemia Research (5 papers), Immune Cell Function and Interaction (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Chemokine receptors and signaling (3 papers), Eosinophilic Disorders and Syndromes (3 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Hematology (159 citations), Genetics (118 citations), Rheumatology (149 citations), Immunology (196 citations) and Oncology (195 citations). Gianni Binotto has collaborated with scholars based in Italy and United States. Frequent co-authors include Gianpietro Semenzato, Fausto Adami, Livio Trentin, Valentina Citton, Chiara Briani, Sara Pompanin, Chiara Dalla Torre, Renzo Manara, Carlo Agostini and Monica Facco. Their work appears in journals such as Blood, British Journal of Haematology, Amyloid, Annals of Hematology and Leukemia Research.

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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