Serena Cecchetti

3.9k citations
72 papers · 3.2k · h-index 30

Impact in

    • MicroRNA in disease regulation
  • Immunology top 5%
    • Galectins and Cancer Biology
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Immune Cell Function and Interaction 7
    • Galectins and Cancer Biology 6
    • Immunotherapy and Immune Responses 5
    • HIV Research and Treatment 7

Serena Cecchetti

71 papers receiving 3.1k citations

Peers

Serena Cecchetti
Comparison fields: 5 of 120
  • Cancer Research 541
  • Immunology 702
  • Molecular Biology 2.0k
  • Cell Biology 259
  • Oncology 377
Replace Tao Zhou with:
Tao Zhou China
Anna Onnis Italy
Pierre‐François Cartron France
Jaewhan Song South Korea
Sandrine Marchetti France
Sjoerd J. L. van Wijk Germany
Young Joo Jeon South Korea
Ki‐Young Lee South Korea
Jessica Dal Col Italy
Youji Feng China
Serena Cecchetti relative to Tao Zhou China Tao Zhou's profile →
Citations per field
00.5×1.5×
Tao Zhou · 1×
Citations per year

Countries citing papers authored by Serena Cecchetti

Since Specialization
Citations

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

Fields of papers citing papers by Serena Cecchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012405
2 2009333
3 2020139
4 2016129
5 2014121
6 2014116
7 2017112
8 201594
9 200888
10 201685
11 201482
12 201069
13 202068
14 201665
15 201263
16 200856
17 201154
18 201953
19 201951
20 201650

About Serena Cecchetti

Serena Cecchetti is a scholar working on Immunology, Virology, Molecular Biology, Cell Biology and Oncology, having authored 72 papers that have together received 3.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Protein Tyrosine Phosphatases (7 papers), Immune Cell Function and Interaction (7 papers), Extracellular vesicles in disease (6 papers), Galectins and Cancer Biology (6 papers), Peptidase Inhibition and Analysis (6 papers), Immunotherapy and Immune Responses (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Cancer Research (541 citations), Immunology (702 citations), Molecular Biology (2.0k citations), Cell Biology (259 citations) and Oncology (377 citations). Serena Cecchetti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Luana Lugini, Francesca Spadaro, Franca Podo, Carlo Ramoni, Stefano Fais, Laura Abalsamo, Luisa Paris, Cristina Federici, Marisa Colone and Agnese Molinari. Their work appears in journals such as The American Journal of Human Genetics, Human Molecular Genetics, Frontiers in Immunology, International Journal of Molecular Sciences and PLoS ONE.

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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