Carla De Giovanni
- Molecular Biology top 5%
- Immunology top 1%
- Oncology top 1%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Pier‐Luigi LolliniPatrizia NanniGiordano NicolettiLorena LanduzziFederica CavalloGuido ForniPiero MusianiGiorgio Prodi
- Topics
- Immunotherapy and Immune Responses (60 papers)Monoclonal and Polyclonal Antibodies Research (29 papers)Immune Cell Function and Interaction (27 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Carla De Giovanni
147 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 2.1k
- Immunology 2.0k
- Oncology 1.8k
- Genetics 734
- Pulmonary and Respiratory Medicine 718
Countries citing papers authored by Carla De Giovanni
This map shows the geographic impact of Carla De Giovanni'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 Carla De Giovanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carla De Giovanni more than expected).
Fields of papers citing papers by Carla De Giovanni
This network shows the impact of papers produced by Carla De Giovanni. 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 Carla De Giovanni. The network helps show where Carla De Giovanni may publish in the future.
Co-authorship network of co-authors of Carla De Giovanni
This figure shows the co-authorship network connecting the top 25 collaborators of Carla De Giovanni. A scholar is included among the top collaborators of Carla De Giovanni 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 Carla De Giovanni. Carla De Giovanni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 81 | |
| 3 | 4 | |
| 4 | 287 | |
| 5 | 69 | |
| 6 | 5 | |
| 7 | 53 | |
| 8 | 77 | |
| 9 | Gene expression profiling differences between synchronous and metachronous liver metastases of colorectal cancer | 1 |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 64 | |
| 13 | 127 | |
| 14 | 78 | |
| 15 | 30 | |
| 16 | 191 | |
| 17 | 2 | |
| 18 | 145 | |
| 19 | 2 | |
| 20 | [Measurement of cytoplasmic receptors specific for steroid hormones. IV) Glucocorticoid receptor]. | 1 |
About Carla De Giovanni
Carla De Giovanni is a scholar working on Immunology, Oncology and Biotechnology, having authored 149 papers that have together received 4.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (60 papers), Monoclonal and Polyclonal Antibodies Research (29 papers) and Immune Cell Function and Interaction (27 papers). The work is most often cited by research in Immunology (2.0k citations), Oncology (1.8k citations) and Cancer Research (597 citations). Carla De Giovanni has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Pier‐Luigi Lollini, Patrizia Nanni, Giordano Nicoletti, Lorena Landuzzi, Federica Cavallo, Guido Forni, Piero Musiani, Giorgio Prodi, Emma Di Carlo and Katia Scotlandi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.