Silvia Codenotti

566 citations
26 papers · 298 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • Polyamine Metabolism and Applications 3
    • Kruppel-like factors research 2
    • Signaling Pathways in Disease 2
    • Caveolin-1 and cellular processes 8

Silvia Codenotti

24 papers receiving 295 citations

Peers

Silvia Codenotti
Comparison fields: 5 of 77
  • Cancer Research 97
  • Pulmonary and Respiratory Medicine 108
  • Cell Biology 51
  • Molecular Biology 176
  • Endocrine and Autonomic Systems 13
Replace Nicole van Vliet with:
Nicole van Vliet Netherlands
Guojun Lu China
Zhaojie Lyu China
Xuyang Feng China
Peiye Song China
Jianchao Zheng China
Wang Liu China
Avi Maimon Israel
Silvia Codenotti relative to Nicole van Vliet Netherlands Nicole van Vliet's profile →
Citations per field
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Nicole van Vliet · 1×
Citations per year

Countries citing papers authored by Silvia Codenotti

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Codenotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201861
2 201430
3 201829
4 202122
5 201621
6 201921
7 201920
8 201519
9 202116
10 201614
11 20199
12 20245
13 20225
14 20234
15 20164
16 20173
17 20243
18 20242
19 20222
20 20232

About Silvia Codenotti

Silvia Codenotti is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 26 papers that have together received 298 indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (8 papers), Sarcoma Diagnosis and Treatment (5 papers), Cell Adhesion Molecules Research (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Polyamine Metabolism and Applications (3 papers), Kruppel-like factors research (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Cancer Research (97 citations), Pulmonary and Respiratory Medicine (108 citations), Cell Biology (51 citations), Molecular Biology (176 citations) and Endocrine and Autonomic Systems (13 citations). Silvia Codenotti has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Alessandro Fanzani, Francesco Marampon, Maura Poli, Michela Asperti, Daniela Zizioli, Eugenio Monti, Sara Salucci, Sabrina Burattini, Francesca Megiorni and Marina Colombi. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Cancer Research and Clinical Oncology, Cancer Letters, PLoS ONE and Differentiation.

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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