G Fossati
- Immunology top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Neurology top 10%
- Co-authors
- Giorgio ParmianiElisabetta MennaMichela MatteoliAndrea AnichiniIrene CorradiniFlavia AntonucciRomana TomasoniArabella Mazzocchi
- Topics
- Neuroscience and Neuropharmacology Research (7 papers)Immunotherapy and Immune Responses (7 papers)T-cell and B-cell Immunology (5 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
G Fossati
28 papers receiving 826 citations
Peers
Comparison fields: 5 of 87
- Immunology 310
- Molecular Biology 259
- Cellular and Molecular Neuroscience 167
- Oncology 138
- Neurology 104
Countries citing papers authored by G Fossati
This map shows the geographic impact of G Fossati'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 G Fossati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Fossati more than expected).
Fields of papers citing papers by G Fossati
This network shows the impact of papers produced by G Fossati. 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 G Fossati. The network helps show where G Fossati may publish in the future.
Co-authorship network of co-authors of G Fossati
This figure shows the co-authorship network connecting the top 25 collaborators of G Fossati. A scholar is included among the top collaborators of G Fossati 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 G Fossati. G Fossati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 85 | |
| 4 | 137 | |
| 5 | 58 | |
| 6 | 51 | |
| 7 | 18 | |
| 8 | 10 | |
| 9 | Emosiderosi polmonare indotta dalle proteine del latte vaccino: discussione di un caso clinico. | 0 |
| 10 | [Pulmonary hemosiderosis induced by cow's milk proteins: a discussion of a clinical case]. | 6 |
| 11 | [New therapeutic trends in thalassemia: oral chelating agents]. | 3 |
| 12 | 16 | |
| 13 | 91 | |
| 14 | Susceptibility of chemoresistant murine and human tumor cells to lysis by interleukin 2-activated lymphocytes. | 40 |
| 15 | 8 | |
| 16 | Tumorigenicity and dissemination of primary and metastatic human melanomas implanted into different sites in athymic nude mice. | 11 |
| 17 | 46 | |
| 18 | 14 | |
| 19 | 21 | |
| 20 | [Anticellular effects of Salmonella abortus equi lipopolysaccharides. Studies on erythropoietic chick embryo cells]. | 1 |
About G Fossati
G Fossati is a scholar working on Immunology, Developmental Neuroscience and Biological Psychiatry, having authored 31 papers that have together received 836 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (310 citations), Biological Psychiatry (36 citations) and Neurology (104 citations). G Fossati has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giorgio Parmiani, Elisabetta Menna, Michela Matteoli, Andrea Anichini, Irene Corradini, Flavia Antonucci, Romana Tomasoni, Arabella Mazzocchi, Raffaella Morini and Davide Pozzi. Their work appears in journals such as The Journal of Experimental Medicine, The EMBO Journal and Immunity.
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.