Giuliana Cortese

1.9k citations
39 papers · 955 indexed · h-index 14
Topics
Statistical Methods and Inference (12 papers)Statistical Methods in Clinical Trials (7 papers)Statistical Methods and Bayesian Inference (6 papers)
Partner nations
ItalyDenmarkSweden

In The Last Decade

Giuliana Cortese

33 papers receiving 939 citations

Peers

Giuliana Cortese
Comparison fields: 5 of 127
  • Surgery 328
  • Cardiology and Cardiovascular Medicine 266
  • Oncology 180
  • Pulmonary and Respiratory Medicine 164
  • Molecular Biology 152
Replace Wen Gu with:
Wen Gu United States
James C. Lee Australia
R Thomas Lumbers United Kingdom
Erik Christensen Denmark
Márcio A. Diniz United States
Hayan Jouni United States
Zhu Feng China
Robert Bigelow United States
Yan Xing China
Robert C. Rock United States
Giuliana Cortese relative to Wen Gu United States Wen Gu's profile →
Citations per field
00.5×3.5×
Wen Gu · 1×
Citations per year

Countries citing papers authored by Giuliana Cortese

Since Specialization
Citations

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

Fields of papers citing papers by Giuliana Cortese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuliana Cortese

This figure shows the co-authorship network connecting the top 25 collaborators of Giuliana Cortese. A scholar is included among the top collaborators of Giuliana Cortese 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 Giuliana Cortese. Giuliana Cortese 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
#WorkIndexed citations
1 0
2 2
3 12
4 1
5 9
6 2
7 34
8 5
9 11
10 64
11 11
12 3
13 2
14 24
15 56
16
Critical properties of the two-dimensional Z(5) vector model
2
17 97
18 11
19 21
20 125

About Giuliana Cortese

Giuliana Cortese is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Nephrology, having authored 39 papers that have together received 955 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Statistics and Probability (109 citations), Cardiology and Cardiovascular Medicine (266 citations) and Cancer Research (115 citations). Giuliana Cortese has collaborated with scholars based in Italy, Denmark and Sweden. Frequent co-authors include Per Kragh Andersen, Morten Gram Pedersen, Thomas Scheike, Marianne Ryberg, Torben Skovsgaard, Gitte Nielsen, Dorte Nielsen, Per Kragh Andersen, Lucio Fortunato and Massimo Farina. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.

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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