Marika Vezzoli

1.3k citations
52 papers · 706 indexed · h-index 15
Topics
Credit Risk and Financial Regulations (9 papers)Global Financial Crisis and Policies (9 papers)Caveolin-1 and cellular processes (5 papers)

In The Last Decade

Marika Vezzoli

50 papers receiving 683 citations

Peers

Marika Vezzoli
Comparison fields: 5 of 132
  • Oncology 197
  • Molecular Biology 94
  • Infectious Diseases 89
  • Pulmonary and Respiratory Medicine 80
  • Finance 77
Replace Michael J. Diaz with:
Michael J. Diaz United States
Rebecca Williams United Kingdom
Claudio Jommi Italy
K. F. Cheng Taiwan
Ryan G. Short United States
Victor Lei United States
João Sérgio Neves Portugal
Babak Choodari‐Oskooei United Kingdom
Marika Vezzoli relative to Michael J. Diaz United States Michael J. Diaz's profile →
Citations per field
00.5×3.5×
Michael J. Diaz · 1×
Citations per year

Countries citing papers authored by Marika Vezzoli

Since Specialization
Citations

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

Fields of papers citing papers by Marika Vezzoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marika Vezzoli

This figure shows the co-authorship network connecting the top 25 collaborators of Marika Vezzoli. A scholar is included among the top collaborators of Marika Vezzoli 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 Marika Vezzoli. Marika Vezzoli 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 0
4 3
5 8
6 8
7 4
8 3
9 1
10 14
11 22
12 15
13 39
14 14
15 3
16 5
17 14
18 2
19 33
20
Multidimensional Distance to Collapse Point and Sovereign Default Prediction
1

About Marika Vezzoli

Marika Vezzoli is a scholar working on Finance, General Economics, Econometrics and Finance and Otorhinolaryngology, having authored 52 papers that have together received 706 indexed citations. Recurring topics across this work include Credit Risk and Financial Regulations (9 papers), Global Financial Crisis and Policies (9 papers) and Caveolin-1 and cellular processes (5 papers). The work is most often cited by research in Finance (77 citations), Emergency Medicine (73 citations) and Oncology (197 citations). Marika Vezzoli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Stefano Calza, Francesco Castelli, Roberto Maroldi, Stefano Bonardelli, Giulia Abate, Daniela Uberti, Maurizio Memo, Giuseppe Milano, Giorgio Saraceno and Alessandro Casiraghi. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

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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