Simone G. Riva

587 total citations
16 papers, 249 citations indexed

About

Simone G. Riva is a scholar working on Molecular Biology, Cancer Research and Ocean Engineering. According to data from OpenAlex, Simone G. Riva has authored 16 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Ocean Engineering. Recurrent topics in Simone G. Riva's work include Single-cell and spatial transcriptomics (9 papers), Gene expression and cancer classification (5 papers) and Gene Regulatory Network Analysis (4 papers). Simone G. Riva is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Gene expression and cancer classification (5 papers) and Gene Regulatory Network Analysis (4 papers). Simone G. Riva collaborates with scholars based in United Kingdom, Italy and Netherlands. Simone G. Riva's co-authors include Ana Cvejic, Andrea Tangherloni, Brynelle Myers, Paulina M. Strzelecka, Ivan Berest, Judith B. Zaugg, Irina Mohorianu, Elisa Panada, Anna Maria Ranzoni and T. J. Neep and has published in prestigious journals such as Scientific Reports, Cell stem cell and BMC Bioinformatics.

In The Last Decade

Simone G. Riva

13 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone G. Riva United Kingdom 5 179 61 43 36 19 16 249
Tobias Krammer Germany 6 188 1.1× 69 1.1× 25 0.6× 12 0.3× 23 1.2× 9 280
Baranda S. Hansen United States 9 123 0.7× 86 1.4× 36 0.8× 26 0.7× 5 0.3× 20 240
Johannes Bagnoli Germany 8 225 1.3× 71 1.2× 55 1.3× 17 0.5× 16 0.8× 12 318
Pratyaydipta Rudra United States 10 236 1.3× 86 1.4× 59 1.4× 10 0.3× 29 1.5× 26 370
Jurrian K. de Kanter Netherlands 7 267 1.5× 48 0.8× 133 3.1× 23 0.6× 44 2.3× 12 355
Thi My Anh Neildez‐Nguyen France 8 188 1.1× 59 1.0× 21 0.5× 92 2.6× 14 0.7× 12 390
Cecilia Domínguez Conde Austria 6 143 0.8× 122 2.0× 36 0.8× 10 0.3× 35 1.8× 9 282
Jack Bibby United States 6 101 0.6× 139 2.3× 33 0.8× 9 0.3× 12 0.6× 13 259
Jana Koth United Kingdom 7 180 1.0× 40 0.7× 41 1.0× 14 0.4× 5 0.3× 10 267
Landon Wark Canada 10 206 1.2× 18 0.3× 46 1.1× 18 0.5× 15 0.8× 15 313

Countries citing papers authored by Simone G. Riva

Since Specialization
Citations

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

Fields of papers citing papers by Simone G. Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simone G. Riva. 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 Simone G. Riva. The network helps show where Simone G. Riva may publish in the future.

Co-authorship network of co-authors of Simone G. Riva

This figure shows the co-authorship network connecting the top 25 collaborators of Simone G. Riva. A scholar is included among the top collaborators of Simone G. Riva 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 Simone G. Riva. Simone G. Riva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Roberts, Nigel, Mira Kassouf, Simone G. Riva, et al.. (2025). Active regulatory elements recruit cohesin to establish cell specific chromatin domains. Scientific Reports. 15(1). 11780–11780. 2 indexed citations
2.
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
3.
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.
4.
Turkalj, Sven, Niels Asger Jakobsen, Marlen Metzner, et al.. (2023). GTAC enables parallel genotyping of multiple genomic loci with chromatin accessibility profiling in single cells. Cell stem cell. 30(5). 722–740.e11. 7 indexed citations
5.
Riva, Simone G., et al.. (2023). CATCH-UP: A High-Throughput Upstream-Pipeline for Bulk ATAC-Seq and ChIP-Seq Data. Journal of Visualized Experiments. 1 indexed citations
6.
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
7.
Neep, T. J., Simone G. Riva, & Ana Cvejic. (2022). SMaSH: a scalable, general marker gene identification framework for single-cell RNA-sequencing. BMC Bioinformatics. 23(1). 328–328. 15 indexed citations
8.
Riva, Simone G., Brynelle Myers, Paolo Cazzaniga, & Andrea Tangherloni. (2022). A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data. Aisberg (University of Bergamo). 1–8. 2 indexed citations
9.
Riva, Simone G., et al.. (2022). Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. TU/e Research Portal. 1–9. 1 indexed citations
10.
Tangherloni, Andrea, Simone G. Riva, Brynelle Myers, & Paolo Cazzaniga. (2022). Multi-objective Optimization for Marker Panel Identification in Single-cell Data. Aisberg (University of Bergamo). 1–8.
11.
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
12.
13.
Tangherloni, Andrea, Simone G. Riva, Simone Spolaor, et al.. (2021). The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data. TU/e Research Portal. 9. 1423–1430. 4 indexed citations
14.
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
15.
16.
Doyle, James, et al.. (2008). Multi-Scale Data Integration in Characterizing and Modeling A Deep-Water Turbidite Reservoir. SPE Annual Technical Conference and Exhibition. 4 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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