Aldo Solari

2.4k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Aldo Solari is a scholar working on Statistics and Probability, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Aldo Solari has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 10 papers in Molecular Biology and 6 papers in Management Science and Operations Research. Recurrent topics in Aldo Solari's work include Statistical Methods in Clinical Trials (19 papers), Statistical Methods and Inference (9 papers) and Gene expression and cancer classification (8 papers). Aldo Solari is often cited by papers focused on Statistical Methods in Clinical Trials (19 papers), Statistical Methods and Inference (9 papers) and Gene expression and cancer classification (8 papers). Aldo Solari collaborates with scholars based in Italy, Netherlands and United States. Aldo Solari's 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 and has published in prestigious journals such as Cell, Nucleic Acids Research and The Journal of Cell Biology.

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... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aldo Solari Italy 16 855 517 291 243 124 35 1.5k
Guillem Rigaill France 19 791 0.9× 287 0.6× 146 0.5× 243 1.0× 108 0.9× 41 1.4k
Veerabhadran Baladandayuthapani United States 28 1.4k 1.7× 532 1.0× 377 1.3× 290 1.2× 216 1.7× 131 2.8k
Anestis Touloumis United Kingdom 8 555 0.6× 332 0.6× 83 0.3× 567 2.3× 89 0.7× 18 1.5k
Angelo J. Canty Canada 15 634 0.7× 263 0.5× 108 0.4× 212 0.9× 198 1.6× 28 1.4k
Kevin Leder United States 17 327 0.4× 258 0.5× 49 0.2× 355 1.5× 119 1.0× 45 973
Ruibin Xi China 22 1.1k 1.3× 307 0.6× 215 0.7× 639 2.6× 481 3.9× 53 2.1k
Patrick Danaher United States 12 714 0.8× 618 1.2× 175 0.6× 254 1.0× 75 0.6× 45 1.7k
Seth Falcon United States 8 1.2k 1.4× 267 0.5× 42 0.1× 253 1.0× 282 2.3× 14 2.2k
Shili Lin United States 26 1.4k 1.7× 175 0.3× 101 0.3× 521 2.1× 798 6.4× 160 2.8k
Ming Lin China 20 778 0.9× 235 0.5× 35 0.1× 217 0.9× 137 1.1× 51 1.3k

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
1.
Heller, Ruth & Aldo Solari. (2023). Simultaneous directional inference. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(3). 650–670.
2.
Goeman, Jelle J. & Aldo Solari. (2023). On selection and conditioning in multiple testing and selective inference. Biometrika. 111(2). 393–416. 2 indexed citations
3.
Reverberi, Carlo, et al.. (2023). Seeing inferences: brain dynamics and oculomotor signatures of non-verbal deduction. Scientific Reports. 13(1). 2341–2341. 1 indexed citations
4.
Solari, Aldo, et al.. (2022). Multi split conformal prediction. BOA (University of Milano-Bicocca). 11 indexed citations
5.
Xu, Ningning, Aldo Solari, & Jelle J. Goeman. (2022). Closed Testing with Globaltest, with Application in Metabolomics. Biometrics. 79(2). 1103–1113. 1 indexed citations
6.
Zwet, Erik W. van, et al.. (2021). Simultaneous confidence intervals for ranks using the partitioning principle. Electronic Journal of Statistics. 15(1).
7.
Solari, Aldo, et al.. (2019). Permutation-based simultaneous confidence bounds for the false discovery proportion. Biometrika. 106(3). 635–649. 19 indexed citations
8.
Rosenblatt, Jonathan D., Livio Finos, Wouter D. Weeda, Aldo Solari, & Jelle J. Goeman. (2018). All-Resolutions Inference for brain imaging. NeuroImage. 181. 786–796. 27 indexed citations
9.
Solari, Aldo & Jelle J. Goeman. (2016). Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg. Biometrical Journal. 59(4). 776–780. 17 indexed citations
10.
Solari, Aldo, Livio Finos, & Jelle J. Goeman. (2014). Rotation‐based multiple testing in the multivariate linear model. Biometrics. 70(4). 954–961. 21 indexed citations
11.
Solari, Aldo, Saskia le Cessie, & Jelle J. Goeman. (2012). Testing goodness of fit in regression: a general approach for specified alternatives. Statistics in Medicine. 31(28). 3656–3666. 7 indexed citations
12.
Goeman, Jelle J., Aldo Solari, & Theo Stijnen. (2010). Three-sided hypothesis testing: Simultaneous testing of superiority, equivalence and inferiority. Statistics in Medicine. 29(20). 2117–2125. 27 indexed citations
13.
Adorno, Maddalena, Michelangelo Cordenonsi, Marco Montagner, et al.. (2009). A Mutant-p53/Smad Complex Opposes p63 to Empower TGFβ-Induced Metastasis. Cell. 137(1). 87–98. 650 indexed citations breakdown →
14.
Bicciato, Silvio, Roberta Spinelli, Mattia Zampieri, et al.. (2009). A computational procedure to identify significant overlap of differentially expressed and genomic imbalanced regions in cancer datasets †. Nucleic Acids Research. 37(15). 5057–5070. 22 indexed citations
15.
Solari, Aldo, Luigi Salmaso, Fortunato Pesarin, & Dario Basso. (2009). Permutation Tests for Stochastic Ordering and ANOVA. Lecture notes in statistics. 26 indexed citations
16.
Bernardini, Alberto, Luigi Salmaso, & Aldo Solari. (2008). Statistical evaluation of vulnerability and expected seismic damage of residential buildings in the Veneto-Friuli area (NE Italy). BOA (University of Milano-Bicocca). 49. 427–446. 8 indexed citations
17.
Klingenberg, Bernhard, Aldo Solari, Luigi Salmaso, & Fortunato Pesarin. (2008). Testing Marginal Homogeneity Against Stochastic Order in Multivariate Ordinal Data. Biometrics. 65(2). 452–462. 24 indexed citations
18.
Salmaso, Luigi & Aldo Solari. (2005). Multiple aspect testing for case-control designs. Metrika. 62(2-3). 331–340. 38 indexed citations
19.
Salmaso, Luigi & Aldo Solari. (2004). Nonparametric iterated combined tests for genetic differentiation. Computational Statistics & Data Analysis. 50(4). 1105–1112. 11 indexed citations
20.
Solari, Aldo, Lazhar Zourgui, P. Carvallo, & Laura Tarrago‐Litvak. (1986). Studies on DNA polymerases of Xenopus laevis oocytes: subcellular distribution and physical association of DNA polymerase alpha inside the nucleus. Biology of the Cell. 56(1). 23–29. 2 indexed citations

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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