Biagio Pecori

1.1k total citations
45 papers, 837 citations indexed

About

Biagio Pecori is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Biagio Pecori has authored 45 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 27 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Surgery. Recurrent topics in Biagio Pecori's work include Colorectal Cancer Surgical Treatments (27 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Colorectal and Anal Carcinomas (14 papers). Biagio Pecori is often cited by papers focused on Colorectal Cancer Surgical Treatments (27 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Colorectal and Anal Carcinomas (14 papers). Biagio Pecori collaborates with scholars based in Italy, United Kingdom and Malaysia. Biagio Pecori's co-authors include Paolo Delrio, Fabiana Tatangelo, Antonella Petrillo, Antonio Avallone, Vincenza Granata, Roberta Fusco, Daniela Rega, Mario Sansone, Ugo Pace and Luigi Aloj and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Biagio Pecori

43 papers receiving 823 citations

Peers

Biagio Pecori
Comparison fields: 5 of 77
  • Oncology 490
  • Radiology, Nuclear Medicine and Imaging 470
  • Surgery 212
  • Pulmonary and Respiratory Medicine 168
  • Molecular Biology 63
Replace Hongmei Zhang with:
Hongmei Zhang China
Silvia Girolama Drago Italy
Mark Lee Australia
Kyung Jin Nam South Korea
Seza Güleç United States
Chuanli Chen China
Robert H. Siegelbaum United States
Gu‐Wei Ji China
Prantesh Jain United States
Hongmei Zhang China View profile →
Citations per field, relative to Biagio Pecori
Biagio Pecori · 1×
Citations per year, relative to Biagio Pecori
Biagio Pecori · 1×

Countries citing papers authored by Biagio Pecori

Since Specialization
Citations

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

Fields of papers citing papers by Biagio Pecori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biagio Pecori

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 22
4 41
5 21
6 12
7 25
8 46
9 11
10 29
11 20
12 40
13 13
14 45
15 21
16 23
17 1
18 10
19 58
20 12

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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