Anna Maria Scattolin

43 total papers · 1.7k total citations
10 papers, 66 citations indexed

About

Anna Maria Scattolin is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Genetics. According to data from OpenAlex, Anna Maria Scattolin has authored 10 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 6 papers in Hematology and 4 papers in Genetics. Recurrent topics in Anna Maria Scattolin's work include Acute Lymphoblastic Leukemia research (10 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Anna Maria Scattolin is often cited by papers focused on Acute Lymphoblastic Leukemia research (10 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Anna Maria Scattolin collaborates with scholars based in Italy, Russia and Germany. Anna Maria Scattolin's co-authors include Renato Bassan, Elena Maino, Piera Viero, Rosaria Sancetta, Michele Vespignani, Silvia Imbergamo, Massimiliano Bonifacio, Orietta Spinelli, Alessandro Rambaldi and Manuela Tosi and has published in prestigious journals such as Blood, Blood Advances and Expert Review of Anticancer Therapy.

In The Last Decade

Anna Maria Scattolin

7 papers receiving 65 citations

Author Peers

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

Author Last Decade Papers Cites
Anna Maria Scattolin 44 41 20 17 11 10 66
Rose‐Marie Hamladji 59 1.3× 20 0.5× 9 0.5× 20 1.2× 11 1.0× 12 77
Rathana Kim 26 0.6× 31 0.8× 21 1.1× 16 0.9× 10 0.9× 11 67
Davide Giusti 32 0.7× 21 0.5× 10 0.5× 16 0.9× 9 0.8× 8 70
Paulina Richter‐Pechańska 33 0.8× 50 1.2× 25 1.3× 8 0.5× 9 0.8× 8 81
Monica Ruggeri 17 0.4× 32 0.8× 20 1.0× 8 0.5× 5 0.5× 8 55
Caroline Barbieri Blunck 34 0.8× 43 1.0× 13 0.7× 5 0.3× 20 1.8× 10 75
Thomas Creasey 23 0.5× 33 0.8× 20 1.0× 23 1.4× 6 0.5× 10 73
Yuka Iijima‐Yamashita 23 0.5× 24 0.6× 15 0.8× 6 0.4× 4 0.4× 10 57
Cláudia Moreira 38 0.9× 20 0.5× 10 0.5× 24 1.4× 2 0.2× 15 63
José Refugio Torres‐Nava 14 0.3× 22 0.5× 23 1.1× 5 0.3× 11 1.0× 9 68

Countries citing papers authored by Anna Maria Scattolin

Since Specialization
Citations

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

Fields of papers citing papers by Anna Maria Scattolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Maria Scattolin. 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 Anna Maria Scattolin. The network helps show where Anna Maria Scattolin may publish in the future.

Co-authorship network of co-authors of Anna Maria Scattolin

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Maria Scattolin. A scholar is included among the top collaborators of Anna Maria Scattolin 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 Anna Maria Scattolin. Anna Maria Scattolin 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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