Manuela Cappelletti

1.9k citations
22 papers · 1.4k · h-index 16

Impact in

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

Papers in

    • Cytokine Signaling Pathways and Interactions 5
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • CRISPR and Genetic Engineering 3
    • Glycosylation and Glycoproteins Research 2

Manuela Cappelletti

21 papers receiving 1.4k citations

Peers

Manuela Cappelletti
Comparison fields: 5 of 97
  • Biotechnology 236
  • Immunology 441
  • Behavioral Neuroscience 43
  • Oncology 307
  • Genetics 220
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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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994454
2 1999268
3 199699
4
Defective development of pristane-oil-induced plasmacytomas in interleukin-6-deficient BALB/c mice.
199796
5 200075
6 199661
7 200254
8 200549
9 199841
10 199940
11 200636
12 201434
13 201730
14 201230
15 200523
16
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
17 199514
18 200914
19 19967
20 20086

About Manuela Cappelletti

Manuela Cappelletti is a scholar working on Oncology, Molecular Biology, Biotechnology, Genetics and Immunology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Virus-based gene therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), CRISPR and Genetic Engineering (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Adrenal Hormones and Disorders (2 papers). The work is most often cited by research in Biotechnology (236 citations), Immunology (441 citations), Behavioral Neuroscience (43 citations), Oncology (307 citations) and Genetics (220 citations). Manuela Cappelletti has collaborated with scholars based in Italy, United States and Norway. Frequent co-authors include Elena Fattori, Valeria Poli, Gennaro Ciliberto, Giamila Fantuzzi, Pietro Ghezzi, Nicola La Monica, Gabriella Rizzuto, Carolina Sellitto, Raffaella Faggioni and Paula Carvalho Costa. Their work appears in journals such as The Journal of Gene Medicine, Human Gene Therapy, The Journal of Experimental Medicine, Blood and Cytokine.

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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