Silvia Bottini

950 citations
30 papers · 652 · h-index 15

Impact in

Papers in

    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • MicroRNA in disease regulation 6
    • Cancer Genomics and Diagnostics 3
    • Cancer-related molecular mechanisms research 3

Silvia Bottini

27 papers receiving 637 citations

Peers

Silvia Bottini
Comparison fields: 5 of 101
  • Cancer Research 207
  • Infectious Diseases 82
  • Molecular Biology 320
  • Microbiology 24
  • Reproductive Medicine 30
Replace Suman Sundaresh with:
Suman Sundaresh United States
Yingqiu Guo China
Sadie L. Marjani United States
Ti‐Chun Chao United States
Ti‐Cheng Chang United States
Xinmin Yan China
Jianqing Zhao China
Stephanie Maia Acuña Brazil
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Citations per field
00.5×7.2×
Suman Sundaresh · 1×
Citations per year

Countries citing papers authored by Silvia Bottini

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Bottini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017166
2 201768
3 201763
4 201750
5 201527
6 201726
7 202124
8 201723
9 200923
10 200722
11 201121
12 201220
13 202020
14 200517
15 202417
16 202213
17 200711
18 201210
19 20088
20 20216

About Silvia Bottini

Silvia Bottini is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Infectious Diseases and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 652 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer Genomics and Diagnostics (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Insects and Parasite Interactions (2 papers), Bacterial Infections and Vaccines (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Cancer Research (207 citations), Infectious Diseases (82 citations), Molecular Biology (320 citations), Microbiology (24 citations) and Reproductive Medicine (30 citations). Silvia Bottini has collaborated with scholars based in France, Italy and Thailand. Frequent co-authors include Michèle Trabucchi, Valérie Grandjean, Cyrille Féray, Jean–Michel Pawlotsky, Patrice Bruscella, Emanuela Repetto, Stefano Veraldi, Raffaele Gianotti, Laure‐Emmanuelle Zaragosi and Georges Raad. Their work appears in journals such as Briefings in Bioinformatics, Nucleic Acids Research, Computational and Structural Biotechnology Journal, Nature Communications and Journal of the European Academy of Dermatology and Venereology.

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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