Silvia Luchetti

31 total papers · 1.4k total citations
17 papers, 789 citations indexed

About

Silvia Luchetti is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Silvia Luchetti has authored 17 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 6 papers in Oncology and 4 papers in Genetics. Recurrent topics in Silvia Luchetti's work include Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (5 papers) and Mesenchymal stem cell research (3 papers). Silvia Luchetti is often cited by papers focused on Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (5 papers) and Mesenchymal stem cell research (3 papers). Silvia Luchetti collaborates with scholars based in Italy, United States and France. Silvia Luchetti's co-authors include Andrea Bacigalupo, Maria Teresa Van Lint, Francesca Gualandi, Anna Maria Raiola, Carmen Di Grazia, Stefania Bregante, Teresa Lamparelli, Riccardo Varaldo, Anna Ghiso and Alida Dominietto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Annals of the New York Academy of Sciences.

In The Last Decade

Silvia Luchetti

17 papers receiving 771 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Silvia Luchetti 675 240 237 200 158 17 789
Kris Doney 756 1.1× 275 1.1× 215 0.9× 204 1.0× 158 1.0× 18 902
Ed Kanfer 657 1.0× 257 1.1× 241 1.0× 175 0.9× 104 0.7× 19 752
DW Beelen 752 1.1× 262 1.1× 178 0.8× 144 0.7× 171 1.1× 18 878
CA Ries 442 0.7× 305 1.3× 142 0.6× 140 0.7× 243 1.5× 14 784
MS Roth 583 0.9× 196 0.8× 142 0.6× 188 0.9× 110 0.7× 14 720
Jane Apperley 705 1.0× 313 1.3× 155 0.7× 232 1.2× 133 0.8× 27 902
EM Bryant 435 0.6× 234 1.0× 146 0.6× 118 0.6× 134 0.8× 16 675
James Gajewski 634 0.9× 339 1.4× 247 1.0× 139 0.7× 154 1.0× 13 851
Luís Fernando S. Bouzas 487 0.7× 211 0.9× 121 0.5× 109 0.5× 121 0.8× 26 669
ZiYi Lim 630 0.9× 180 0.8× 126 0.5× 195 1.0× 142 0.9× 28 780

Countries citing papers authored by Silvia Luchetti

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Luchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Luchetti

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

All Works

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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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