Francesca Arruga

2.7k total citations
60 papers, 1.3k citations indexed

About

Francesca Arruga is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Francesca Arruga has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 28 papers in Molecular Biology and 21 papers in Hematology. Recurrent topics in Francesca Arruga's work include Chronic Lymphocytic Leukemia Research (27 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Acute Myeloid Leukemia Research (10 papers). Francesca Arruga is often cited by papers focused on Chronic Lymphocytic Leukemia Research (27 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Acute Myeloid Leukemia Research (10 papers). Francesca Arruga collaborates with scholars based in Italy, United States and United Kingdom. Francesca Arruga's co-authors include Silvia Deaglio, Tiziana Vaisitti, Giuseppe Saglio, Emanuela Messa, Daniela Cilloni, Nicoletta Vitale, F. Messa, Sara Serra, Sonia Carturan and Ilaria Defilippi and has published in prestigious journals such as Blood, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Francesca Arruga

55 papers receiving 1.3k citations

Peers

Francesca Arruga
Comparison fields: 5 of 80
  • Genetics 550
  • Molecular Biology 502
  • Hematology 394
  • Immunology 332
  • Oncology 312
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Lugui Qiu China
Simone Boehrer Germany
Krzysztof Jamroziak Poland
Timothy J. Hoy United Kingdom
Dariusz Wołowiec Poland
Sílvia Marcé Spain
Anna Tamburini Italy
Kourosh Lotfi Sweden
Seong Lin Khaw Australia
Milada S. Vala United States
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Citations per field, relative to Francesca Arruga
Francesca Arruga · 1×
Citations per year, relative to Francesca Arruga
Francesca Arruga · 1×

Countries citing papers authored by Francesca Arruga

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Arruga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Arruga

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Arruga. A scholar is included among the top collaborators of Francesca Arruga 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 Francesca Arruga. Francesca Arruga 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 0
2 0
3 7
4 2
5 15
6 20
7 3
8 26
9 33
10 35
11 7
12 154
13 116
14 1
15 80
16 37
17 30
18 7
19 5
20 26

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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