Emanuela Signori
- Molecular Biology top 10%
- Immunology top 5%
- Biotechnology top 1%
- Oncology top 10%
- Biomedical Engineering top 10%
- Co-authors
- Vito Michele FazioMariangela De RobertisEmanuela MassiMaria Luana PoetaSimone CarottiS. MoriniPieranna ChiarellaMonica Rinaldi
- Topics
- Microbial Inactivation Methods (21 papers)Immunotherapy and Immune Responses (10 papers)Microfluidic and Bio-sensing Technologies (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyCancer Research
- Partner nations
- ItalyArgentinaUnited States
In The Last Decade
Emanuela Signori
59 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 989
- Immunology 479
- Biotechnology 476
- Oncology 350
- Biomedical Engineering 292
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 of co-authors of Emanuela Signori
This figure shows the co-authorship network connecting the top 25 collaborators of Emanuela Signori. A scholar is included among the top collaborators of Emanuela Signori based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emanuela Signori. Emanuela Signori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 16 | |
| 6 | 27 | |
| 7 | 14 | |
| 8 | 17 | |
| 9 | 27 | |
| 10 | 8 | |
| 11 | 14 | |
| 12 | 64 | |
| 13 | 119 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | The AOM/DSS murine model for the study of colon carcinogenesis: From pathways to diagnosis and therapy studiesbreakdown → | 448 |
| 17 | 67 | |
| 18 | 13 | |
| 19 | 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. | 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) and Microfluidic and Bio-sensing Technologies (10 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.