Francesca Langone
Impact in
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- Immunotherapy and Immune Responses
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- Bioinformatics and Genomic Networks
- Muscle Physiology and Disorders
Papers in
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- vaccines and immunoinformatics approaches 2
- Oncology 5
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 2
- Co-authors
- Gianni Cesareni (5 shared papers)Luisa Castagnoli (5 shared papers)Alberto Calderone (2 shared papers)Anna Morena D’Alise (8 shared papers)Elisa Scarselli (8 shared papers)Elena Santonico (2 shared papers)Gabriella Cotugno (8 shared papers)Andrea Cerquone Perpetuini (2 shared papers)
- Journals
- Cancers (1 paper)Scientific Reports (1 paper)Molecular Therapy — Oncolytics (1 paper)Journal of Clinical Oncology (1 paper)Nature Communications (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Francesca Langone
13 papers receiving 488 citations
Peers
Comparison fields: 5 of 75
- Immunology 113
- Molecular Biology 335
- Oncology 126
- Genetics 84
- Computational Theory and Mathematics 39
Countries citing papers authored by Francesca Langone
This map shows the geographic impact of Francesca Langone'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 Francesca Langone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Langone more than expected).
Fields of papers citing papers by Francesca Langone
This network shows the impact of papers produced by Francesca Langone. 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 Francesca Langone. The network helps show where Francesca Langone may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Langone, 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 | 2015 | 167 | |
| 2 | 2013 | 87 | |
| 3 | 2019 | 76 | |
| 4 | 2014 | 46 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 27 | |
| 7 | 2019 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2014 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 3 |
About Francesca Langone
Francesca Langone is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Pathology and Forensic Medicine, having authored 13 papers that have together received 496 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (3 papers), Virus-based gene therapy research (3 papers), Genetic factors in colorectal cancer (2 papers), Cancer Genomics and Diagnostics (2 papers), CAR-T cell therapy research (2 papers), vaccines and immunoinformatics approaches (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (113 citations), Molecular Biology (335 citations), Oncology (126 citations), Genetics (84 citations) and Computational Theory and Mathematics (39 citations). Francesca Langone has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Gianni Cesareni, Luisa Castagnoli, Alberto Calderone, Anna Morena D’Alise, Elisa Scarselli, Elena Santonico, Gabriella Cotugno, Andrea Cerquone Perpetuini, Daniele Peluso and Theodora Pavlidou. Their work appears in journals such as Cancers, Scientific Reports, Molecular Therapy — Oncolytics, Journal of Clinical Oncology and Nature Communications.
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.