Emanuela Signori
- Biotechnology top 1%
- Microbial Inactivation Methods 21
- Transgenic Plants and Applications 9
- Immunology top 5%
- Immunotherapy and Immune Responses 10
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 7
- Viral Infectious Diseases and Gene Expression in Insects 7
- Oncology top 10%
- Cancer Research top 10%
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- Microfluidic and Bio-sensing Technologies 10
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- Virus-based gene therapy research 8
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Vito Michele FazioMariangela De RobertisEmanuela MassiMaria Luana PoetaSimone CarottiS. MoriniPieranna ChiarellaMonica Rinaldi
- Journals
- SHILAP Revista de lepidopterología (1 paper)The Journal of Immunology (1 paper)Cancer Research (1 paper)
- Partner nations
- ItalyArgentinaUnited States
In The Last Decade
Emanuela Signori
59 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Biotechnology 476
- Immunology 479
- Molecular Biology 989
- Oncology 350
- Cancer Research 189
Countries citing papers authored by Emanuela Signori
This map shows the geographic impact of Emanuela Signori'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 Emanuela Signori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuela Signori more than expected).
Fields of papers citing papers by Emanuela Signori
This network shows the impact of papers produced by Emanuela Signori. 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 Emanuela Signori. The network helps show where Emanuela Signori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emanuela Signori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 27 | |
| 10 | 2019 | 8 | |
| 11 | 2018 | 14 | |
| 12 | 2016 | 64 | |
| 13 | 2015 | 119 | |
| 14 | 2014 | 1 | |
| 15 | 2013 | 11 | |
| 16 | The AOM/DSS murine model for the study of colon carcinogenesis: From pathways to diagnosis and therapy studiesbreakdown → | 2011 | 448 |
| 17 | 2008 | 67 | |
| 18 | 2007 | 13 | |
| 19 | 2007 | 4 | |
| 20 | Antibodies elicited by naked DNA vaccination against the complementary-determining region 3 hypervariable region of immunoglobulin heavy chain idiotypic determinants of B-lymphoproliferative disorders specifically react with patients' tumor cells. | 2001 | 22 |
About Emanuela Signori
Emanuela Signori is a scholar working on Biotechnology, Immunology and Oncology, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (21 papers), Immunotherapy and Immune Responses (10 papers), Microfluidic and Bio-sensing Technologies (10 papers), Transgenic Plants and Applications (9 papers), Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Biotechnology (476 citations), Immunology (479 citations) and Molecular Biology (989 citations). Emanuela Signori has collaborated with scholars based in Italy, Argentina and United States. Frequent co-authors include Vito Michele Fazio, Mariangela De Robertis, Emanuela Massi, Maria Luana Poeta, Simone Carotti, S. Morini, Pieranna Chiarella, Monica Rinaldi, Dominic J. Wells and Jill McMahon. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Cancer Research.
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.