Simone Tiberi

542 citations
17 papers · 253 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • Single-cell and spatial transcriptomics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Gene expression and cancer classification
    • Gene Regulatory Network Analysis

Papers in

    • Single-cell and spatial transcriptomics 7
    • RNA Research and Splicing 3
    • Gene Regulatory Network Analysis 3
    • Molecular Biology Techniques and Applications 3
    • Gene expression and cancer classification 2
    • Advanced Proteomics Techniques and Applications 3

Simone Tiberi

15 papers receiving 249 citations

Peers

Simone Tiberi
Comparison fields: 5 of 64
  • Cancer Research 51
  • Molecular Biology 178
  • Biophysics 7
  • Applied Microbiology and Biotechnology 2
  • Aging 1
Replace Chunshen Long with:
Chunshen Long China
Maria K. Jaakkola Finland
Carl Murie Canada
Mehran Karimzadeh Canada
Marta Bleda Spain
Vladimir Rynkov United States
Kavitha R. Iyer Australia
Franklin Gu United States
D. Perez-Gil United Kingdom
Anja Kiesel Germany
Simone Tiberi relative to Chunshen Long China Chunshen Long's profile →
Citations per field
00.5×1.5×
Chunshen Long · 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

17 of 17 papers shown
#Work
1 201995
2 202250
3 201821
4 202018
5 202115
6 202215
7 20119
8 20238
9 20128
10 20214
11 20244
12
20192
13 20202
14 20211
15 20201
16 20250
17 20240

About Simone Tiberi

Simone Tiberi is a scholar working on Molecular Biology, Spectroscopy, Statistics and Probability, Cancer Research and Pathology and Forensic Medicine, having authored 17 papers that have together received 253 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), RNA Research and Splicing (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Gene Regulatory Network Analysis (3 papers), Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (2 papers), Breast Cancer Treatment Studies (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Cancer Research (51 citations), Molecular Biology (178 citations), Biophysics (7 citations), Applied Microbiology and Biotechnology (2 citations) and Aging (1 citation). Simone Tiberi has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Mark D. Robinson, Rob Patro, Katharina Hembach, Charlotte Soneson, Lieven Clement, Koen Van den Berge, Michael I. Love, Daniel Hebenstreit, Mark D. Walsh and Massimo Cavallaro. Their work appears in journals such as Bioinformatics, Genome biology, BMC Biology, The Annals of Applied Statistics and Biostatistics.

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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