Manuela Cappelletti

1.9k citations
25 papers · 1.6k · h-index 17

Impact in

    • Microbial Inactivation Methods
    • Transgenic Plants and Applications
  • Immunology top 5%
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses

Papers in

    • Microbial Inactivation Methods 6
    • Cytokine Signaling Pathways and Interactions 5

Manuela Cappelletti

25 papers receiving 1.5k citations

Peers

Manuela Cappelletti
Comparison fields: 5 of 98
  • Biotechnology 272
  • Immunology 512
  • Oncology 320
  • Behavioral Neuroscience 42
  • Genetics 247
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Citations per year

Countries citing papers authored by Manuela Cappelletti

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Cappelletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994471
2 1999284
3 1996102
4
Defective development of pristane-oil-induced plasmacytomas in interleukin-6-deficient BALB/c mice.
199798
5 200076
6 200671
7 199663
8 200258
9 200552
10 202147
11 199944
12 199844
13 200638
14 201434
15 201731
16 201230
17 200526
18
C/EBPbeta is required for the late phases of acute phase genes induction in the liver and for tumour necrosis factor-alpha, but not Interleukin-6, regulation.
199616
19 200914
20 199514

About Manuela Cappelletti

Manuela Cappelletti is a scholar working on Biotechnology, Oncology, Infectious Diseases, Behavioral Neuroscience and Immunology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Virus-based gene therapy research (4 papers), CRISPR and Genetic Engineering (3 papers), Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Biotechnology (272 citations), Immunology (512 citations), Oncology (320 citations), Behavioral Neuroscience (42 citations) and Genetics (247 citations). Manuela Cappelletti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Elena Fattori, Valeria Poli, Gennaro Ciliberto, Pietro Ghezzi, Giamila Fantuzzi, Nicola La Monica, Gabriella Rizzuto, Carolina Sellitto, Raffaella Faggioni and Lavinia Cantoni. Their work appears in journals such as The Journal of Gene Medicine, Human Gene Therapy, The Journal of Experimental Medicine, Blood and Antibodies.

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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