Giulia Peveri

1.0k citations
18 papers · 491 · h-index 12

Impact in

Papers in

Giulia Peveri

18 papers receiving 483 citations

Peers

Giulia Peveri
Comparison fields: 5 of 71
  • Oncology 141
  • Pulmonary and Respiratory Medicine 96
  • Cardiology and Cardiovascular Medicine 52
  • Pathology and Forensic Medicine 28
  • Cancer Research 23
Replace Jetty A. Overbeek with:
Jetty A. Overbeek Netherlands
Yajun Emily Zhu United States
Daniel Medenwald Germany
A. Wolk Sweden
Xiaoqin Cao China
Jianlan Cui China
Margaret Sloan Canada
Paula Berstad Norway
Hanfei Xu United States
Alan Paciorek United States
Giulia Peveri relative to Jetty A. Overbeek Netherlands Jetty A. Overbeek's profile →
Citations per field
00.5×2.9×
Jetty A. Overbeek · 1×
Citations per year

Countries citing papers authored by Giulia Peveri

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Peveri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giulia Peveri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giulia Peveri Line = papers co-authored together Giulia Peveri links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2020143
2 201885
3 202045
4 202038
5 201936
6 201922
7 202019
8 201718
9 201918
10 202115
11 202114
12 202113
13 20229
14 20245
15 20205
16 20214
17 20231
18 20211

About Giulia Peveri

Giulia Peveri is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Cardiology and Cardiovascular Medicine and Statistics and Probability, having authored 18 papers that have together received 491 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Colorectal and Anal Carcinomas (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Statistics Education and Methodologies (1 paper), Potassium and Related Disorders (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Oncology (141 citations), Pulmonary and Respiratory Medicine (96 citations), Cardiology and Cardiovascular Medicine (52 citations), Pathology and Forensic Medicine (28 citations) and Cancer Research (23 citations). Giulia Peveri has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Silvano Gallus, Alessandra Lugo, Vincenzo Bagnardi, Cristina Bosetti, Claudia Specchia, Claudia Santucci, Matteo Rota, Piet A. van den Brandt, Erica K. Sloan and Elisa Borroni. Their work appears in journals such as ESC Heart Failure, Critical Reviews in Oncology/Hematology, JACC Heart Failure, British Journal of Urology and BMJ Open.

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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