Paolo Pizzini

2.6k total citations
2 papers, 3 citations indexed

About

Paolo Pizzini is a scholar working on Surgery, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Paolo Pizzini has authored 2 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Neurology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Paolo Pizzini's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Gastrointestinal Tumor Research and Treatment (1 paper) and Neurofibromatosis and Schwannoma Cases (1 paper). Paolo Pizzini is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Gastrointestinal Tumor Research and Treatment (1 paper) and Neurofibromatosis and Schwannoma Cases (1 paper). Paolo Pizzini collaborates with scholars based in Italy, Brazil and China. Paolo Pizzini's co-authors include Chenbin Chen, Sian Chen, Emmanuel Dias‐Neto, Xiaohong Chen, Yuanbo Hu, Mingdong Lu, Qiantong Dong, Stefano De Pascale and Sara Coppola and has published in prestigious journals such as Journal of Gastrointestinal Oncology.

In The Last Decade

Paolo Pizzini

2 papers receiving 3 citations

Peers

Paolo Pizzini
Dominic Vincent Ligot Philippines
Jacquie King United States
Weilin Song United States
E Amorim Brazil
Mohamed Elashri United States
A. Petrosyan Armenia
Z. Zhou China
W. Peng China
R. D. St. Denis India
H. B. Liu China
Dominic Vincent Ligot Philippines
Paolo Pizzini
Citations per year, relative to Paolo Pizzini Paolo Pizzini (= 1×) peers Dominic Vincent Ligot

Countries citing papers authored by Paolo Pizzini

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Pizzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Pizzini

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Pizzini. A scholar is included among the top collaborators of Paolo Pizzini 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 Paolo Pizzini. Paolo Pizzini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Hu, Yuanbo, Chenbin Chen, Mingdong Lu, et al.. (2023). Radiomics based on machine learning algorithms could predict prognosis and postoperative chemotherapy benefits of patients with gastric cancer: a retrospective cohort study. Journal of Gastrointestinal Oncology. 14(5). 2048–2063. 2 indexed citations
2.

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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2026