Daniela Furlan

89 papers and 2.6k indexed citations i.

About

Daniela Furlan is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Daniela Furlan has authored 89 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oncology, 41 papers in Pathology and Forensic Medicine and 34 papers in Molecular Biology. Recurrent topics in Daniela Furlan’s work include Genetic factors in colorectal cancer (36 papers), Cancer Genomics and Diagnostics (20 papers) and Neuroendocrine Tumor Research Advances (11 papers). Daniela Furlan is often cited by papers focused on Genetic factors in colorectal cancer (36 papers), Cancer Genomics and Diagnostics (20 papers) and Neuroendocrine Tumor Research Advances (11 papers). Daniela Furlan collaborates with scholars based in Italy, United States and Switzerland. Daniela Furlan's co-authors include Carlo Capella, Nora Sahnane, Stefano La Rosa, Roberta Cerutti, Fausto Sessa, Maria Grazia Tibiletti, Anna Maria Chiaravalli, Barry Iacopetta, Alex Duval and Nirosha Suraweera and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Daniela Furlan i

Fields of papers citing papers by Daniela Furlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Furlan

Since Specialization
Citations

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

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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