Renata Binato

1.7k citations
60 papers · 876 indexed · h-index 19

Impact in

Papers in

    • Acute Myeloid Leukemia Research 9
    • Hematopoietic Stem Cell Transplantation 5
    • Chronic Myeloid Leukemia Treatments 5

Renata Binato

56 papers receiving 867 citations

Peers

Renata Binato
Comparison fields: 5 of 99
  • Genetics 146
  • Cancer Research 168
  • Hematology 109
  • Molecular Biology 532
  • Oncology 205
Replace Luciana Pizzatti with:
Luciana Pizzatti Brazil
Rachel Sexton United States
Nicholas Davies United Kingdom
Gualtiero Mariani Italy
Gabriela Nestal de Moraes Brazil
Sylvie Shen Australia
Shenmeng Gao China
Alessandro Perez Italy
Renata Binato relative to Luciana Pizzatti Brazil Luciana Pizzatti's profile →
Citations per field
00.5×1.5×2.2×
Luciana Pizzatti · 1×
Citations per year

Countries citing papers authored by Renata Binato

Since Specialization
Citations

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

Fields of papers citing papers by Renata Binato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20242
3 20242
4 20242
5 20232
6 20232
7 20231
8 20222
9 20225
10 201934
11 20198
12 20153
13 201522
14 201531
15 20143
16 20133
17 201042
18 200912
19 200927
20 200921

About Renata Binato

Renata Binato is a scholar working on Hematology, Cancer Research, Genetics, Oncology and Immunology, having authored 60 papers that have together received 876 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (7 papers), Mesenchymal stem cell research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Genetics (146 citations), Cancer Research (168 citations), Hematology (109 citations), Molecular Biology (532 citations) and Oncology (205 citations). Renata Binato has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Eliana Abdelhay, Bárbara Du Rocher, Luciana Pizzatti, André Luiz Mencalha, Stephany Corrêa, Eliana Abdelhay, Carolina Panis, Gerson Moura Ferreira, Rúbens Cecchini and L.F. Bouzas. Their work appears in journals such as HLA, Scientific Reports, Genes, Cancer Letters and International Journal of Molecular Sciences.

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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