G Forni
- Immunology top 2%
- Immunotherapy and Immune Responses 28
- Immune Cell Function and Interaction 18
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 7
- Chemokine receptors and signaling 7
- Modeling and Simulation top 2%
- Biotechnology top 2%
- Cancer Research and Treatments 13
- Genetics top 5%
- Virus-based gene therapy research 11
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- Monoclonal and Polyclonal Antibodies Research 9
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- Glycosylation and Glycoproteins Research 7
- Co-authors
- Mirella GiovarelliAngela SantoniPiero MusianiFrancesco NovelliEmma Di CarloAndrea ModestiMario P. ColomboNicola Bellomo
- Journals
- Nucleic Acids Research (1 paper)The Journal of Experimental Medicine (1 paper)The Journal of Immunology (12 papers)
- Partner nations
- ItalyUnited StatesBelarus
In The Last Decade
G Forni
85 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 120
- Immunology 1.5k
- Oncology 909
- Modeling and Simulation 121
- Biotechnology 205
- Genetics 385
Countries citing papers authored by G Forni
This map shows the geographic impact of G Forni'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 Forni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Forni more than expected).
Fields of papers citing papers by G Forni
This network shows the impact of papers produced by G Forni. 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 Forni. The network helps show where G Forni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G Forni, 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 | 2008 | 5 | |
| 2 | 2003 | 73 | |
| 3 | Prevention by delay: nonspecific immunity elicited by IL-12 hinders Her-2/neu mammary carcinogenesis in transgenic mice. | 2002 | 5 |
| 4 | 2001 | 49 | |
| 5 | 2001 | 66 | |
| 6 | 2001 | 6 | |
| 7 | Ability of systemic interleukin-12 to hamper progressive stages of mammary carcinogenesis in HER2/neu transgenic mice. | 2000 | 72 |
| 8 | 1999 | 21 | |
| 9 | 1999 | 12 | |
| 10 | 1999 | 29 | |
| 11 | Dynamics of tumor immune system interactions: The kinetic cellular theory | 1996 | 1 |
| 12 | Molecular approaches to cancer immunotherapy. | 1995 | 19 |
| 13 | 1995 | 18 | |
| 14 | 1994 | 33 | |
| 15 | 1994 | 10 | |
| 16 | 1990 | 41 | |
| 17 | 1990 | 16 | |
| 18 | 1988 | 68 | |
| 19 | 1976 | 44 | |
| 20 | 1974 | 7 |
About G Forni
G Forni is a scholar working on Immunology, Biotechnology and Oncology, having authored 85 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (28 papers), Immune Cell Function and Interaction (18 papers), Cancer Research and Treatments (13 papers), Virus-based gene therapy research (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Glycosylation and Glycoproteins Research (7 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Chemokine receptors and signaling (7 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (909 citations) and Modeling and Simulation (121 citations). G Forni has collaborated with scholars based in Italy, United States and Belarus. Frequent co-authors include Mirella Giovarelli, Angela Santoni, Piero Musiani, Francesco Novelli, Emma Di Carlo, Andrea Modesti, Mario P. Colombo, Nicola Bellomo, Alessandra Allione and Giorgio Parmiani. Their work appears in journals such as Nucleic Acids Research, The Journal of Experimental Medicine 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.