Massimo La Pinta

14 papers and 263 indexed citations i.

About

Massimo La Pinta is a scholar working on Surgery, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Massimo La Pinta has authored 14 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Massimo La Pinta’s work include Breast Cancer Treatment Studies (11 papers), Breast Implant and Reconstruction (10 papers) and Breast Lesions and Carcinomas (5 papers). Massimo La Pinta is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), Breast Implant and Reconstruction (10 papers) and Breast Lesions and Carcinomas (5 papers). Massimo La Pinta collaborates with scholars based in Italy and Sweden. Massimo La Pinta's co-authors include Barbara Porowska, M Carboni, G Flati, Lucio Fortunato, Andrea Loreti, Francesco Cavaliere, Leopoldo Costarelli, Ugo De Paula, Diana Spallone and Giuliana Cortese and has published in prestigious journals such as Cancer Research, Annals of Surgical Oncology and Pancreas.

In The Last Decade

Co-authorship network of co-authors of Massimo La Pinta i

Fields of papers citing papers by Massimo La Pinta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo La Pinta. 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 Massimo La Pinta. The network helps show where Massimo La Pinta may publish in the future.

Countries citing papers authored by Massimo La Pinta

Since Specialization
Citations

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