Aldo Solari

2.4k citations
35 papers · 1.5k indexed · 1 hit paper · h-index 16
Topics
Statistical Methods in Clinical Trials (19 papers)Statistical Methods and Inference (9 papers)Gene expression and cancer classification (8 papers)

In The Last Decade

Aldo Solari

30 papers receiving 1.5k citations

Hit Papers

A Mutant-p53/Smad Complex Opposes p63 to Empower TGFβ-Ind...20092026201420202009200400600

Peers

Aldo Solari
Comparison fields: 5 of 158
  • Molecular Biology 855
  • Oncology 517
  • Statistics and Probability 291
  • Cancer Research 243
  • Genetics 124
Replace Veerabhadran Baladandayuthapani with:
Veerabhadran Baladandayuthapani United States
Guillem Rigaill France
Patrick R. Blackburn United States
Anestis Touloumis United Kingdom
Ruibin Xi China
Patrick Danaher United States
Angelo J. Canty Canada
Shili Lin United States
Daren Wang United States
Ming Lin China
Aldo Solari relative to Veerabhadran Baladandayuthapani United States Veerabhadran Baladandayuthapani's profile →
Citations per field
00.5×1.5×
Veerabhadran Baladandayuthapani · 1×
Citations per year

Countries citing papers authored by Aldo Solari

Since Specialization
Citations

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

Fields of papers citing papers by Aldo Solari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aldo Solari

This figure shows the co-authorship network connecting the top 25 collaborators of Aldo Solari. A scholar is included among the top collaborators of Aldo Solari 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 Aldo Solari. Aldo Solari 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 1
4 11
5 1
6 0
7 19
8 27
9 17
10 21
11 7
12 27
13
A Mutant-p53/Smad Complex Opposes p63 to Empower TGFβ-Induced Metastasisbreakdown →
650
14 22
15 26
16
Statistical evaluation of vulnerability and expected seismic damage of residential buildings in the Veneto-Friuli area (NE Italy)
8
17 24
18 38
19 11
20 2

About Aldo Solari

Aldo Solari is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (19 papers), Statistical Methods and Inference (9 papers) and Gene expression and cancer classification (8 papers). The work is most often cited by research in Statistics and Probability (291 citations), Oncology (517 citations) and Cancer Research (243 citations). Aldo Solari has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Jelle J. Goeman, Luigi Salmaso, Silvio Bicciato, Maddalena Adorno, Marco Montagner, Byron Hann, Maria Rondina, Antonio Rosato, Sirio Dupont and Vincenza Guzzardo. Their work appears in journals such as Cell, Nucleic Acids Research and The Journal of Cell Biology.

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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