Gabriela Forestieri

52 total papers · 602 total citations
4 papers, 35 citations indexed

About

Gabriela Forestieri is a scholar working on Pathology and Forensic Medicine, Cancer Research and Genetics. According to data from OpenAlex, Gabriela Forestieri has authored 4 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Gabriela Forestieri's work include Lymphoma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Gabriela Forestieri is often cited by papers focused on Lymphoma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Gabriela Forestieri collaborates with scholars based in Switzerland, Italy and Saudi Arabia. Gabriela Forestieri's co-authors include Francesca Boccafoschi, Diego Cotella, Alessio Bruscaggin, Martin Griffin, Valeria Spina, Claudio Santoro, Daniele Sblattero, Lodovico Terzi di Bergamo, Maria Cristina Pirosa and Davide Rossi and has published in prestigious journals such as Journal of Clinical Oncology, The FASEB Journal and British Journal of Haematology.

In The Last Decade

Gabriela Forestieri

4 papers receiving 35 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriela Forestieri 25 16 11 10 6 4 35
Leire Escudero‐Ibarz 28 1.1× 11 0.7× 6 0.5× 13 1.3× 10 1.7× 5 52
Elisabetta Cretella 20 0.8× 17 1.1× 8 0.7× 5 0.5× 20 3.3× 6 46
Letitia Lensun 10 0.4× 9 0.6× 5 0.5× 10 1.0× 6 1.0× 3 42
Hood Mugalaasi 20 0.8× 19 1.2× 17 1.5× 4 0.4× 15 2.5× 3 48
Kelsey Zhu 10 0.4× 10 0.6× 9 0.8× 4 0.4× 5 0.8× 4 31
Bai-Lin Wu 11 0.4× 11 0.7× 8 0.7× 11 1.1× 4 0.7× 7 228
Mikhila Mahendra 8 0.3× 34 2.1× 8 0.7× 8 0.8× 13 2.2× 4 52
Katrina Chan 8 0.3× 6 0.4× 9 0.8× 7 0.7× 7 1.2× 6 45
Joe Sneath Thompson 36 1.4× 6 0.4× 4 0.4× 12 1.2× 19 3.2× 3 48
Daniela Barbero 36 1.4× 7 0.4× 9 0.8× 21 2.1× 21 3.5× 6 41

Countries citing papers authored by Gabriela Forestieri

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Forestieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Forestieri

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Forestieri. A scholar is included among the top collaborators of Gabriela Forestieri 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 Gabriela Forestieri. Gabriela Forestieri 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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