Simone Tiberi

518 total citations
17 papers, 231 citations indexed

About

Simone Tiberi is a scholar working on Molecular Biology, Spectroscopy and Pathology and Forensic Medicine. According to data from OpenAlex, Simone Tiberi has authored 17 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Simone Tiberi's work include Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (5 papers) and Molecular Biology Techniques and Applications (4 papers). Simone Tiberi is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (5 papers) and Molecular Biology Techniques and Applications (4 papers). Simone Tiberi collaborates with scholars based in Switzerland, United States and Italy. Simone Tiberi's co-authors include Mark D. Robinson, Michael I. Love, Koen Van den Berge, Katharina Hembach, Lieven Clement, Rob Patro, Charlotte Soneson, Massimo Cavallaro, Daniel Hebenstreit and Bärbel Finkenstädt and has published in prestigious journals such as Bioinformatics, Genome biology and BMC Biology.

In The Last Decade

Simone Tiberi

15 papers receiving 227 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 Tiberi Switzerland 9 177 51 15 12 12 17 231
Tsung-Jung Wu United States 6 163 0.9× 45 0.9× 30 2.0× 20 1.7× 9 0.8× 6 211
Ilan Smoly Israel 8 245 1.4× 27 0.5× 30 2.0× 11 0.9× 11 0.9× 10 279
Xinzhou Ge United States 5 169 1.0× 60 1.2× 39 2.6× 18 1.5× 10 0.8× 9 244
Michał Krassowski United Kingdom 4 220 1.2× 34 0.7× 45 3.0× 14 1.2× 10 0.8× 5 293
Yupeng Cun China 10 190 1.1× 53 1.0× 27 1.8× 20 1.7× 24 2.0× 19 302
Mehran Karimzadeh Canada 8 253 1.4× 79 1.5× 39 2.6× 20 1.7× 37 3.1× 17 310
Vladimir Rynkov United States 3 202 1.1× 31 0.6× 24 1.6× 14 1.2× 5 0.4× 3 256
Anja Kiesel Germany 5 369 2.1× 80 1.6× 17 1.1× 16 1.3× 21 1.8× 5 405
Laura Martínez Gómez Spain 8 275 1.6× 149 2.9× 48 3.2× 8 0.7× 36 3.0× 10 336

Countries citing papers authored by Simone Tiberi

Since Specialization
Citations

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

Fields of papers citing papers by Simone Tiberi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Tiberi

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

All Works

17 of 17 papers shown
1.
Shortreed, Michael R., Erin D. Jeffery, Ben T. Jordan, et al.. (2025). IsoBayes: a Bayesian approach for single-isoform proteomics inference. Bioinformatics. 41(8).
2.
Tiberi, Simone, Charlotte Soneson, Dongze He, et al.. (2024). DifferentialRegulation : a Bayesian hierarchical approach to identify differentially regulated genes. Biostatistics. 25(4). 1079–1093.
3.
Robinson, Mark D., et al.. (2024). DESpace : spatially variable gene detection via differential expression testing of spatial clusters. Bioinformatics. 40(2). 3 indexed citations
4.
Tiberi, Simone, et al.. (2023). distinct: A novel approach to differential distribution analyses. The Annals of Applied Statistics. 17(2). 8 indexed citations
5.
Weiler, Philipp, Koen Van Den Berge, Kelly Street, & Simone Tiberi. (2022). A Guide to Trajectory Inference and RNA Velocity. Methods in molecular biology. 2584. 269–292. 14 indexed citations
6.
Miller, Rachel, Ben T. Jordan, Erin D. Jeffery, et al.. (2022). Enhanced protein isoform characterization through long-read proteogenomics. Genome biology. 23(1). 47 indexed citations
7.
Miller, Rachel, Ben T. Jordan, Erin D. Jeffery, et al.. (2021). Enhanced Protein Isoform Characterization Through Long-Read Proteogenomics - Jurkat Samples and Reference Data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Cavallaro, Massimo, et al.. (2021). 3 ′-5 ′ crosstalk contributes to transcriptional bursting. Genome biology. 22(1). 56–56. 14 indexed citations
9.
Sailer, Christian, Simone Tiberi, Bernhard Schmid, Jürg Stöcklin, & Ueli Grossniklaus. (2021). Apomixis and genetic background affect distinct traits in Hieracium pilosella L. grown under competition. BMC Biology. 19(1). 177–177. 2 indexed citations
10.
Tiberi, Simone & Mark D. Robinson. (2020). BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty. Genome biology. 21(1). 69–69. 17 indexed citations
11.
Tiberi, Simone, et al.. (2020). distinct: a novel approach to differential distribution analyses. Europe PMC (PubMed Central). 9. 2 indexed citations
12.
Cavallaro, Massimo, et al.. (2020). mcavallaro/gLoop: Supporting software to M. Cavallaro, et al., 3'-5' crosstalk contributes to transcriptional bursting, 2020. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Lee, Anthony, et al.. (2019). . Bristol Research (University of Bristol). 2 indexed citations
14.
Berge, Koen Van den, Katharina Hembach, Charlotte Soneson, et al.. (2019). RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis. Zurich Open Repository and Archive (University of Zurich). 2(1). 139–173. 83 indexed citations
15.
Tiberi, Simone, Mark D. Walsh, Massimo Cavallaro, Daniel Hebenstreit, & Bärbel Finkenstädt. (2018). Bayesian inference on stochastic gene transcription from flow cytometry data. Bioinformatics. 34(17). i647–i655. 20 indexed citations
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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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