Andrea Tangherloni

1.6k total citations
37 papers, 966 citations indexed

About

Andrea Tangherloni is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Andrea Tangherloni has authored 37 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Andrea Tangherloni's work include Gene Regulatory Network Analysis (16 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Evolutionary Algorithms and Applications (10 papers). Andrea Tangherloni is often cited by papers focused on Gene Regulatory Network Analysis (16 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Evolutionary Algorithms and Applications (10 papers). Andrea Tangherloni collaborates with scholars based in Italy, United Kingdom and United States. Andrea Tangherloni's co-authors include Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi, Leonardo Rundo, Giancarlo Mauri, Carmelo Militello, Ivan Berest, Ana Cvejic, Simone G. Riva and Simone Spolaor and has published in prestigious journals such as Cell stem cell, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Andrea Tangherloni

33 papers receiving 945 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Tangherloni Italy 15 316 279 276 140 89 37 966
Yixin Wang China 16 350 1.1× 319 1.1× 272 1.0× 219 1.6× 97 1.1× 41 1.2k
Longzhong Liu China 20 236 0.7× 217 0.8× 414 1.5× 506 3.6× 140 1.6× 46 1.3k
Annalisa Barla Italy 19 357 1.1× 248 0.9× 151 0.5× 65 0.5× 35 0.4× 67 1.1k
Haofan Wang China 19 298 0.9× 327 1.2× 423 1.5× 175 1.3× 76 0.9× 53 1.6k
Paul Salama United States 16 261 0.8× 468 1.7× 273 1.0× 183 1.3× 87 1.0× 115 1.1k
Bahram Parvin United States 24 586 1.9× 500 1.8× 533 1.9× 346 2.5× 125 1.4× 84 1.8k
Elisa Ficarra Italy 20 515 1.6× 207 0.7× 292 1.1× 166 1.2× 46 0.5× 89 1.2k

Countries citing papers authored by Andrea Tangherloni

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Tangherloni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Tangherloni

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Tangherloni. A scholar is included among the top collaborators of Andrea Tangherloni 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 Andrea Tangherloni. Andrea Tangherloni 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.
Castelli, Mauro, Luca Manzoni, Luca Mariot, Marco S. Nobile, & Andrea Tangherloni. (2024). Salp Swarm Optimization. Aisberg (University of Bergamo). 41 indexed citations
2.
Tangherloni, Andrea, et al.. (2024). A Modified EACOP Implementation for Real-Parameter Single Objective Optimization Problems. Aisberg (University of Bergamo). 1–8.
3.
Tangherloni, Andrea, et al.. (2024). A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems. Aisberg (University of Bergamo). 1–8. 1 indexed citations
4.
Tangherloni, Andrea, Simone G. Riva, Brynelle Myers, Francesca M. Buffa, & Paolo Cazzaniga. (2023). MAGNETO: Cell type marker panel generator from single-cell transcriptomic data. Journal of Biomedical Informatics. 147. 104510–104510. 2 indexed citations
5.
Riva, Simone G., Brynelle Myers, Paolo Cazzaniga, Francesca M. Buffa, & Andrea Tangherloni. (2023). Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data. Aisberg (University of Bergamo). 16. 1–8.
6.
Tangherloni, Andrea, et al.. (2023). Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. IEEE Computational Intelligence Magazine. 18(1). 22–31. 2 indexed citations
7.
Riva, Simone G., Paolo Cazzaniga, Marco S. Nobile, et al.. (2022). SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. Symmetry. 14(1). 119–119. 7 indexed citations
8.
Tangherloni, Andrea, et al.. (2021). Analysis of single-cell RNA sequencing data based on autoencoders. BOA (University of Milano-Bicocca). 16 indexed citations
9.
Tangherloni, Andrea, Marco S. Nobile, Paolo Cazzaniga, et al.. (2021). FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks. PLoS Computational Biology. 17(9). e1009410–e1009410. 1 indexed citations
10.
Riva, Simone G., Paolo Cazzaniga, & Andrea Tangherloni. (2021). Integration of Multiple scRNA-Seq Datasets on the Autoencoder Latent Space. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2155–2162. 4 indexed citations
11.
Castelli, Mauro, Luca Manzoni, Luca Mariot, Marco S. Nobile, & Andrea Tangherloni. (2021). Salp Swarm Optimization: A critical review. Expert Systems with Applications. 189. 116029–116029. 2 indexed citations
12.
Rundo, Leonardo, Andrea Tangherloni, Darren R. Tyson, et al.. (2020). ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy. Applied Sciences. 10(18). 6187–6187. 9 indexed citations
13.
Ranzoni, Anna Maria, Andrea Tangherloni, Ivan Berest, et al.. (2020). Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Human Developmental Hematopoiesis. Cell stem cell. 28(3). 472–487.e7. 192 indexed citations
14.
Tangherloni, Andrea & Paolo Cazzaniga. (2019). USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. Aisberg (University of Bergamo). 199 indexed citations
15.
Rundo, Leonardo, Andrea Tangherloni, Paolo Cazzaniga, et al.. (2019). A novel framework for MR image segmentation and quantification by using MedGA. Computer Methods and Programs in Biomedicine. 176. 159–172. 44 indexed citations
16.
Tangherloni, Andrea, Simone Spolaor, Leonardo Rundo, et al.. (2019). GenHap: a novel computational method based on genetic algorithms for haplotype assembly. BMC Bioinformatics. 20(S4). 172–172. 23 indexed citations
17.
Tangherloni, Andrea, Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri, & Paolo Cazzaniga. (2017). LASSIE: simulating large-scale models of biochemical systems on GPUs. BMC Bioinformatics. 18(1). 246–246. 15 indexed citations
18.
Rundo, Leonardo, Andrea Tangherloni, Carmelo Militello, Maria Carla Gilardi, & Giancarlo Mauri. (2016). Multimodal medical image registration using Particle Swarm Optimization: A review. Aisberg (University of Bergamo). 1–8. 32 indexed citations
19.
Tangherloni, Andrea, Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, & Giancarlo Mauri. (2016). Gillespie’s Stochastic Simulation Algorithm on MIC coprocessors. The Journal of Supercomputing. 73(2). 676–686. 2 indexed citations
20.
Nobile, Marco S., Paolo Cazzaniga, Andrea Tangherloni, & Daniela Besozzi. (2016). Graphics processing units in bioinformatics, computational biology and systems biology. Briefings in Bioinformatics. 18(5). bbw058–bbw058. 86 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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