Dino Veneri

91 papers and 2.1k indexed citations i.

About

Dino Veneri is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Dino Veneri has authored 91 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Hematology, 30 papers in Genetics and 22 papers in Pathology and Forensic Medicine. Recurrent topics in Dino Veneri’s work include Platelet Disorders and Treatments (26 papers), Lymphoma Diagnosis and Treatment (12 papers) and Blood groups and transfusion (12 papers). Dino Veneri is often cited by papers focused on Platelet Disorders and Treatments (26 papers), Lymphoma Diagnosis and Treatment (12 papers) and Blood groups and transfusion (12 papers). Dino Veneri collaborates with scholars based in Italy, United States and Japan. Dino Veneri's co-authors include Massimo Franchini, Giuseppe Lippi, Giovanni Pizzolo, G. Perona, Marco Zaffanello, Mauro Krampera, Carlo Mengoli, Vittorio Meneghini, Roberta Zanotti and G Todeschini and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Co-authorship network of co-authors of Dino Veneri i

Fields of papers citing papers by Dino Veneri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dino Veneri

Since Specialization
Citations

This map shows the geographic impact of Dino Veneri'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 Dino Veneri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dino Veneri 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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2025