Daniela Gamba
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- DNA Repair Mechanisms 2
- Fungal and yeast genetics research 2
-
- Viral Infections and Immunology Research 3
- Co-authors
- Paolo Plevani (2 shared papers)F. Marini (2 shared papers)Marco Foiani (2 shared papers)Giovanna Lucchini (2 shared papers)Emiliana Brocchi (7 shared papers)Franco Simone (5 shared papers)François Poumarat (1 shared paper)J.L. Martel (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)Vaccine (1 paper)Veterinary Quarterly (1 paper)Revue Scientifique et Technique de l OIE (1 paper)Journal of Virological Methods (1 paper)
- Partner nations
- Italy
In The Last Decade
Daniela Gamba
9 papers receiving 598 citations
Peers
Comparison fields: 5 of 58
- Agronomy and Crop Science 104
- Cell Biology 126
- Hematology 72
- Molecular Biology 435
- Microbiology 29
Countries citing papers authored by Daniela Gamba
This map shows the geographic impact of Daniela Gamba'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 Daniela Gamba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gamba more than expected).
Fields of papers citing papers by Daniela Gamba
This network shows the impact of papers produced by Daniela Gamba. 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 Daniela Gamba. The network helps show where Daniela Gamba may publish in the future.
Co-authors
The 21 scholars most cited alongside Daniela Gamba, 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 | 1994 | 267 | |
| 2 | 1994 | 110 | |
| 3 | 1986 | 92 | |
| 4 | 1993 | 43 | |
| 5 | 1995 | 40 | |
| 6 | 2009 | 24 | |
| 7 | Diagnostic potential of Mab-based ELISAs for antibodies to non-structural proteins of foot-and-mouth disease virus to differentiate infection from vaccination. | 1998 | 24 |
| 8 | 1998 | 20 | |
| 9 | 1991 | 11 |
About Daniela Gamba
Daniela Gamba is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Agronomy and Crop Science, Radiology, Nuclear Medicine and Imaging and Microbiology, having authored 9 papers that have together received 631 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (3 papers), Viral Infections and Immunology Research (3 papers), DNA Repair Mechanisms (2 papers), Fungal and yeast genetics research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Microbial infections and disease research (2 papers), Galectins and Cancer Biology (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (104 citations), Cell Biology (126 citations), Hematology (72 citations), Molecular Biology (435 citations) and Microbiology (29 citations). Daniela Gamba has collaborated with scholars based in Italy. Frequent co-authors include Paolo Plevani, F. Marini, Marco Foiani, Giovanna Lucchini, Emiliana Brocchi, Franco Simone, François Poumarat, J.L. Martel, Paolo Arosio and Sonia Levi. Their work appears in journals such as Molecular and Cellular Biology, Vaccine, Veterinary Quarterly, Revue Scientifique et Technique de l OIE and Journal of Virological Methods.
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.