Giovanna Barbieri
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions 6
- Immunology top 2%
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 5
- interferon and immune responses 2
- Pharmacology top 1%
- Cancer Research top 5%
- Molecular Biology top 5%
- S100 Proteins and Annexins 6
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- Organometallic Compounds Synthesis and Characterization 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Sandra PellegriniOlli SilvennoinenBruce A. WitthuhnAndrew F. WilksAndrew ZiemieckiChris SchindlerAilsa G. HarpurNancy Y. Ip
- Cited by
- OncologyImmunologyPharmacology
In The Last Decade
Giovanna Barbieri
29 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Oncology 1.9k
- Immunology 1.4k
- Pharmacology 290
- Cancer Research 396
- Molecular Biology 1.3k
Countries citing papers authored by Giovanna Barbieri
This map shows the geographic impact of Giovanna Barbieri'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 Giovanna Barbieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanna Barbieri more than expected).
Fields of papers citing papers by Giovanna Barbieri
This network shows the impact of papers produced by Giovanna Barbieri. 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 Giovanna Barbieri. The network helps show where Giovanna Barbieri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giovanna Barbieri, 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 | 2017 | 28 | |
| 2 | 2013 | 32 | |
| 3 | 2012 | 98 | |
| 4 | 2011 | 9 | |
| 5 | 2005 | 9 | |
| 6 | 2004 | 6 | |
| 7 | 2002 | 8 | |
| 8 | 2002 | 16 | |
| 9 | 2001 | 58 | |
| 10 | 2001 | 30 | |
| 11 | 1998 | 56 | |
| 12 | 1995 | 125 | |
| 13 | Association of Transcription Factor APRF and Protein Kinase Jak1 with the Interleukin-6 Signal Transducer gp130breakdown → | 1994 | 695 |
| 14 | 1994 | 52 | |
| 15 | 1993 | 26 | |
| 16 | 1991 | 5 | |
| 17 | 1990 | 30 | |
| 18 | 1990 | 35 | |
| 19 | 1990 | 72 | |
| 20 | 1989 | 28 |
About Giovanna Barbieri
Giovanna Barbieri is a scholar working on Immunology, Applied Microbiology and Biotechnology and Oncology, having authored 29 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), S100 Proteins and Annexins (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Immunotherapy and Immune Responses (5 papers), Organometallic Compounds Synthesis and Characterization (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Oncology (1.9k citations), Immunology (1.4k citations) and Pharmacology (290 citations). Giovanna Barbieri has collaborated with scholars based in Italy, France and Spain. Frequent co-authors include Sandra Pellegrini, Olli Silvennoinen, Bruce A. Witthuhn, Andrew F. Wilks, Andrew Ziemiecki, Chris Schindler, Ailsa G. Harpur, Nancy Y. Ip, Frederick W. Quelle and Teri G. Boulton. Their work appears in journals such as European Journal of Biochemistry, International Immunology, The Journal of Immunology, Science and Journal of Biological Chemistry.
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.