Raffaele Tecce
- Molecular Biology
- Immunology top 10%
- Physiology top 5%
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Anna BagnatoValeriana Di CastroPier Giorgio NataliKevin CattAldo VenutiDebora SalaniLaura RosanòM. Nicotra
- Topics
- Monoclonal and Polyclonal Antibodies Research (12 papers)Immunotherapy and Immune Responses (8 papers)T-cell and B-cell Immunology (7 papers)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Raffaele Tecce
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 577
- Immunology 413
- Physiology 403
- Oncology 325
- Endocrinology, Diabetes and Metabolism 267
Countries citing papers authored by Raffaele Tecce
This map shows the geographic impact of Raffaele Tecce'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 Raffaele Tecce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaele Tecce more than expected).
Fields of papers citing papers by Raffaele Tecce
This network shows the impact of papers produced by Raffaele Tecce. 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 Raffaele Tecce. The network helps show where Raffaele Tecce may publish in the future.
Co-authorship network of co-authors of Raffaele Tecce
This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Tecce. A scholar is included among the top collaborators of Raffaele Tecce 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 Raffaele Tecce. Raffaele Tecce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 105 | |
| 3 | 316 | |
| 4 | 159 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | Effect of recombinant human leukocyte, fibroblast, and immune interferons on expression of class I and II major histocompatibility complex and invariant chain in early passage human melanoma cells. | 33 |
| 10 | 26 | |
| 11 | 22 | |
| 12 | 15 | |
| 13 | 40 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | A cytoplasmic human melanoma associated antigen as a marker of activation in lymphoid cells. | 4 |
| 17 | 16 | |
| 18 | Regulation of the antigenic phenotype of human melanoma cells by recombinant interferons. | 14 |
| 19 | 39 | |
| 20 | 17 |
About Raffaele Tecce
Raffaele Tecce is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Immunotherapy and Immune Responses (8 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Immunology (413 citations), Endocrinology, Diabetes and Metabolism (267 citations) and Immunology and Allergy (96 citations). Raffaele Tecce has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Anna Bagnato, Valeriana Di Castro, Pier Giorgio Natali, Kevin Catt, Aldo Venuti, Debora Salani, Laura Rosanò, M. Nicotra, Fabrizio Vacca and Patrizio Giacomini. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and The Journal of Immunology.
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.