Serena Cecchetti

3.8k citations
56 papers · 2.0k · h-index 23

Impact in

    • MicroRNA in disease regulation
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • Extracellular vesicles in disease 5
    • Glycosylation and Glycoproteins Research 3
    • RNA Interference and Gene Delivery 3
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 5

Serena Cecchetti

54 papers receiving 2.0k citations

Peers

Serena Cecchetti
Comparison fields: 5 of 112
  • Cancer Research 483
  • Immunology 444
  • Molecular Biology 1.2k
  • Virology 53
  • Oncology 241
Replace Jaewhan Song with:
Jaewhan Song South Korea
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Jianing Huang United States
Hui Xu China
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Serena Cecchetti relative to Jaewhan Song South Korea Jaewhan Song's profile →
Citations per field
00.5×1.5×
Jaewhan Song · 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012380
2 2020129
3 2016124
4 2017110
5 2014109
6 200884
7 201677
8 201066
9 201261
10 200854
11 201151
12 201647
13 200743
14 201442
15 201235
16 200935
17 201832
18 201632
19 201230
20 200629

About Serena Cecchetti

Serena Cecchetti is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Infectious Diseases, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (6 papers), Immunotherapy and Immune Responses (5 papers), Extracellular vesicles in disease (5 papers), Peptidase Inhibition and Analysis (4 papers), Virus-based gene therapy research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cancer Research (483 citations), Immunology (444 citations), Molecular Biology (1.2k citations), Virology (53 citations) and Oncology (241 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, Luisa Paris, Laura Abalsamo, Cristina Federici, Marisa Colone and Agnese Molinari. Their work appears in journals such as Frontiers in Immunology, PLoS ONE, International Journal of Molecular Sciences, Oncotarget and Human Molecular Genetics.

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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