Aldo Solari

2.5k citations
43 papers · 1.8k · 1 hit paper · h-index 17

Impact in

Papers in

Aldo Solari

36 papers receiving 1.8k citations

Aldo Solari's Hit Papers

A Mutant-p53/Smad Complex Opposes p63 to Empower TGFβ-Induced Metastasis 2009 · 668 citations
6680+5+11Years since publication200400600

Peers

Aldo Solari
Comparison fields: 5 of 165
  • Statistics and Probability 303
  • Health Informatics 36
  • Oncology 513
  • Cancer Research 225
  • Molecular Biology 810
Replace Veerabhadran Baladandayuthapani with:
Veerabhadran Baladandayuthapani United States
Jessica Minnier United States
J. Jack Lee United States
Thomas Schlange Germany
Vincenzo Lagani Greece
Wilson Wen Bin Goh Singapore
Mukesh Bansal United States
Sihai Dave Zhao United States
Sach Mukherjee United Kingdom
Živana Težak United States
Aldo Solari relative to Veerabhadran Baladandayuthapani United States Veerabhadran Baladandayuthapani's profile →
Citations per field
00.5×2×3.3×
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-authors

The 25 scholars most cited alongside Aldo Solari, 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 Aldo Solari Line = papers co-authored together Aldo Solari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Mutant-p53/Smad Complex Opposes p63 to Empower TGFβ-Induced Metastasis
Hit paper breakdown →
2009668
2 2014260
3 2010201
4 2022129
5 201063
6
Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R
200959
7 200538
8 201030
9 200930
10 201829
11 201928
12 201528
13 200823
14 200923
15 201422
16 201921
17 201119
18 201617
19 202114
20 200713

About Aldo Solari

Aldo Solari is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Molecular Biology and Artificial Intelligence, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (22 papers), Statistical Methods and Inference (11 papers), Statistical Methods and Bayesian Inference (9 papers), Gene expression and cancer classification (8 papers), Optimal Experimental Design Methods (8 papers), Advanced Causal Inference Techniques (3 papers), Advanced Statistical Methods and Models (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Statistics and Probability (303 citations), Health Informatics (36 citations), Oncology (513 citations), Cancer Research (225 citations) and Molecular Biology (810 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, Allan Balmain, Marco Montagner, Antonio Rosato, A. Parenti, Sara Bobisse, Byron C. Hann and Sirio Dupont. Their work appears in journals such as Biometrika, Statistics in Medicine, Biometrics, Biometrical Journal and Scientific Reports.

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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