Anna María Vaira
- Plant Science top 2%
- Molecular Biology
- Endocrinology top 1%
- Insect Science top 2%
- Biotechnology top 5%
- Co-authors
- Gian Paolo AccottoV. MasengaEmanuela NorisJohn HammondGiovanna MasonPaolo ProveroLaura MiozziM. Vecchiati
- Topics
- Plant Virus Research Studies (59 papers)Plant and Fungal Interactions Research (19 papers)Plant-Microbe Interactions and Immunity (12 papers)
- Partner nations
- ItalyUnited StatesSouth Korea
In The Last Decade
Anna María Vaira
66 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 67
- Plant Science 1.4k
- Molecular Biology 460
- Endocrinology 362
- Insect Science 308
- Biotechnology 200
Countries citing papers authored by Anna María Vaira
This map shows the geographic impact of Anna María Vaira'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 Anna María Vaira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna María Vaira more than expected).
Fields of papers citing papers by Anna María Vaira
This network shows the impact of papers produced by Anna María Vaira. 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 Anna María Vaira. The network helps show where Anna María Vaira may publish in the future.
Co-authorship network of co-authors of Anna María Vaira
This figure shows the co-authorship network connecting the top 25 collaborators of Anna María Vaira. A scholar is included among the top collaborators of Anna María Vaira 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 Anna María Vaira. Anna María Vaira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 17 | |
| 4 | 23 | |
| 5 | 14 | |
| 6 | 37 | |
| 7 | 8 | |
| 8 | Yellowing of tomato crops associated with Tomato chlorosis virus (ToCV) and Tomato infectious chlorosis virus (TICV) in Spain. | 3 |
| 9 | Amarilleos en los cultivos de tomate asociados a Tomato chlorosis virus (ToCV) y Tomato infectious chlorosis virus (TICV) en España | 5 |
| 10 | 134 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | 24 | |
| 15 | 38 | |
| 16 | 4 | |
| 17 | Molecular characterization of cloned DNA from a tomato yellow leaf curl virus isolate from Sicily. | 23 |
| 18 | 47 | |
| 19 | Tomato spotted wilt virus in five crops in Liguria. | 8 |
| 20 | [The phagocytic activity of the neutrophilic granulocytes via chemoluminescence and occupational exposure to lead]. | 2 |
About Anna María Vaira
Anna María Vaira is a scholar working on Endocrinology, Horticulture and Plant Science, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Virus Research Studies (59 papers), Plant and Fungal Interactions Research (19 papers) and Plant-Microbe Interactions and Immunity (12 papers). The work is most often cited by research in Endocrinology (362 citations), Horticulture (45 citations) and Plant Science (1.4k citations). Anna María Vaira has collaborated with scholars based in Italy, United States and South Korea. Frequent co-authors include Gian Paolo Accotto, V. Masenga, Emanuela Noris, John Hammond, Giovanna Mason, Paolo Provero, Laura Miozzi, M. Vecchiati, R. G. Milne and D. Louro. Their work appears in journals such as Nature Communications, Analytical Chemistry and Journal of Virology.
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.