Simone Tiberi

491 citations
15 papers · 302 · h-index 9

Impact in

    • Genomics and Phylogenetic Studies
    • Single-cell and spatial transcriptomics
    • RNA Research and Splicing
    • Gene expression and cancer classification
    • Gene Regulatory Network Analysis
    • Bioinformatics and Genomic Networks
    • Advanced Proteomics Techniques and Applications

Papers in

    • Single-cell and spatial transcriptomics 5
    • Gene Regulatory Network Analysis 2
    • Gene expression and cancer classification 2
    • Genomics and Phylogenetic Studies 2
    • RNA Research and Splicing 1
    • Genomics and Chromatin Dynamics 1
    • Advanced Proteomics Techniques and Applications 3

Simone Tiberi

14 papers receiving 299 citations

Peers

Simone Tiberi
Comparison fields: 5 of 56
  • Molecular Biology 195
  • Spectroscopy 27
  • Computational Mathematics 1
  • Cancer Research 17
  • Computer Graphics and Computer-Aided Design 4
Replace Sheng‐An Lee with:
Sheng‐An Lee Taiwan
Xingzhao Wen United States
Matteo Perino Netherlands
Andrew Cobley United Kingdom
Ilan Y. Smoly Israel
Diana Aguilar‐Gómez United States
Jia Dong Ren United States
Bradley W. Wright Australia
Timothy W. Sikorski United States
Arndt Großmann Germany
Simone Tiberi relative to Sheng‐An Lee Taiwan Sheng‐An Lee's profile →
Citations per field
00.5×5×10×17×
Sheng‐An Lee · 1×
Citations per year

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-authors

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

All Works

15 of 15 papers shown
#Work
1 201997
2 202261
3 202225
4 201823
5 202220
6 202018
7 202117
8 202315
9 201110
10 20195
11 20215
12 20244
13 20211
14 20251
15 20240

About Simone Tiberi

Simone Tiberi is a scholar working on Molecular Biology, Spectroscopy, Statistics and Probability, Cancer Research and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 302 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Advanced Proteomics Techniques and Applications (3 papers), Gene Regulatory Network Analysis (2 papers), Gene expression and cancer classification (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA Research and Splicing (1 paper), Genomics and Chromatin Dynamics (1 paper) and Animal Behavior and Reproduction (1 paper). The work is most often cited by research in Molecular Biology (195 citations), Spectroscopy (27 citations), Computational Mathematics (1 citation), Cancer Research (17 citations) and Computer Graphics and Computer-Aided Design (4 citations). Simone Tiberi has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Mark D. Robinson, Lieven Clement, Koen Van den Berge, Katharina Hembach, Rob Patro, Michael I. Love, Charlotte Soneson, Bärbel Finkenstädt, Massimo Cavallaro and Mark D. Walsh. Their work appears in journals such as Bioinformatics, Genome biology, Biometrika, Biostatistics and Cancers.

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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