Valeria Nicolini
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology
- Molecular Biology
- Cellular and Molecular Neuroscience
- Co-authors
- Pablo UmañaSylvia HerterBirgit BossenmaierErwin van PuijenbroekCarola H. RiesChristian A. GerdesEkkehard MoessnerThomas Friess
- Topics
- Monoclonal and Polyclonal Antibodies Research (10 papers)Cancer Immunotherapy and Biomarkers (9 papers)CAR-T cell therapy research (8 papers)
- Partner nations
- SwitzerlandGermanyArgentina
In The Last Decade
Valeria Nicolini
23 papers receiving 241 citations
Peers
Comparison fields: 5 of 44
- Oncology 140
- Radiology, Nuclear Medicine and Imaging 132
- Immunology 90
- Molecular Biology 88
- Cellular and Molecular Neuroscience 27
Countries citing papers authored by Valeria Nicolini
This map shows the geographic impact of Valeria Nicolini'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 Valeria Nicolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valeria Nicolini more than expected).
Fields of papers citing papers by Valeria Nicolini
This network shows the impact of papers produced by Valeria Nicolini. 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 Valeria Nicolini. The network helps show where Valeria Nicolini may publish in the future.
Co-authorship network of co-authors of Valeria Nicolini
This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Nicolini. A scholar is included among the top collaborators of Valeria Nicolini 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 Valeria Nicolini. Valeria Nicolini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 20 | |
| 4 | 3 | |
| 5 | 38 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 98 | |
| 14 | 7 | |
| 15 | Contribution of enhanced ADCC to superior in vivo efficacy of a novel type II humanized, third generation CD20 antibody (GA101) in NHL xenograft models | 2 |
| 16 | GA201, a novel humanized, glycoengineered EGFR antibody with enhanced ADCC and superior in vivo efficacy in xenograft models | 3 |
| 17 | 8 | |
| 18 | 8 | |
| 19 | Galanin-like immunoreactive expression in the central nervous system of the toad. | 9 |
| 20 | 3 |
About Valeria Nicolini
Valeria Nicolini is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 24 papers that have together received 250 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Cancer Immunotherapy and Biomarkers (9 papers) and CAR-T cell therapy research (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (132 citations), Oncology (140 citations) and Immunology (90 citations). Valeria Nicolini has collaborated with scholars based in Switzerland, Germany and Argentina. Frequent co-authors include Pablo Umaña, Sylvia Herter, Birgit Bossenmaier, Erwin van Puijenbroek, Carola H. Ries, Christian A. Gerdes, Ekkehard Moessner, Thomas Friess, Sabine M. Lang and Christian Klein. Their work appears in journals such as Blood, Cancer Research and Clinical 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.