Silvia Buonamici

10.7k total citations
55 papers, 3.0k citations indexed

About

Silvia Buonamici is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Silvia Buonamici has authored 55 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 28 papers in Hematology and 12 papers in Genetics. Recurrent topics in Silvia Buonamici's work include Acute Myeloid Leukemia Research (24 papers), RNA Research and Splicing (13 papers) and Ubiquitin and proteasome pathways (10 papers). Silvia Buonamici is often cited by papers focused on Acute Myeloid Leukemia Research (24 papers), RNA Research and Splicing (13 papers) and Ubiquitin and proteasome pathways (10 papers). Silvia Buonamici collaborates with scholars based in United States, Italy and China. Silvia Buonamici's co-authors include Iannis Aifantis, Elizabeth A. Raetz, Benjamin J. Thompson, Tomas Vilimas, Teresa Palomero, Adolfo A. Ferrando, Giuseppe Basso, Maria Luisa Sulis, Giuseppina Nucifora and Anant A. Agrawal and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Silvia Buonamici

54 papers receiving 3.0k citations

Peers

Silvia Buonamici
Comparison fields: 5 of 76
  • Molecular Biology 2.2k
  • Hematology 1.1k
  • Oncology 475
  • Public Health, Environmental and Occupational Health 446
  • Immunology 403
Maria Luisa Sulis United States
María D. Odero Spain
Blanca Scheijen Netherlands
José Román‐Gómez Spain
Bart Lutterbach United States
Woojoong Lee South Korea
Olivier Rosnet France
Letha A. Phillips United States
Thomas Mercher France
Maria Luisa Sulis United States View profile →
Citations per field, relative to Silvia Buonamici
Silvia Buonamici · 1×
Citations per year, relative to Silvia Buonamici
Silvia Buonamici · 1×

Countries citing papers authored by Silvia Buonamici

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Buonamici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Buonamici

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Buonamici. A scholar is included among the top collaborators of Silvia Buonamici 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 Silvia Buonamici. Silvia Buonamici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 17
2 1
3 47
4 91
5 125
6 36
7 1
8 61
9 263
10 91
11 145
12 291
13 13
14 10
15 59
16 58
17 9
18
Real-time quantification of different types of bcr-abl transcript in chronic myeloid leukemia.
36
19 35
20
Real-time quantification of different types of BcrAbl transcript in chronic myeloid leukemia
16

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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