Silvia Pereyra
- Plant Science top 5%
- Cell Biology top 5%
- Genetics
- Molecular Biology
- Agronomy and Crop Science top 10%
- Co-authors
- Ruth Dill‐MackyAlbert L. SimsSilvia GermánSilvana VeroJ. D. FranckowiakLee T. HickeyG. J. PlatzGabriela Garmendia
- Topics
- Plant Pathogens and Fungal Diseases (19 papers)Mycotoxins in Agriculture and Food (18 papers)Wheat and Barley Genetics and Pathology (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Food MicrobiologyTheoretical and Applied Genetics
- Partner nations
- UruguayUnited StatesMexico
In The Last Decade
Silvia Pereyra
30 papers receiving 722 citations
Peers
Comparison fields: 5 of 42
- Plant Science 734
- Cell Biology 352
- Genetics 101
- Molecular Biology 70
- Agronomy and Crop Science 58
Countries citing papers authored by Silvia Pereyra
This map shows the geographic impact of Silvia Pereyra'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 Silvia Pereyra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Pereyra more than expected).
Fields of papers citing papers by Silvia Pereyra
This network shows the impact of papers produced by Silvia Pereyra. 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 Silvia Pereyra. The network helps show where Silvia Pereyra may publish in the future.
Co-authorship network of co-authors of Silvia Pereyra
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Pereyra. A scholar is included among the top collaborators of Silvia Pereyra 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 Silvia Pereyra. Silvia Pereyra 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 43 | |
| 11 | 23 | |
| 12 | 53 | |
| 13 | 64 | |
| 14 | 18 | |
| 15 | 77 | |
| 16 | 49 | |
| 17 | 108 | |
| 18 | 129 | |
| 19 | 2 | |
| 20 | Identificacion de fuentes de resistencia a enfermedades de cebada en Uruguay | 1 |
About Silvia Pereyra
Silvia Pereyra is a scholar working on Cell Biology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 33 papers that have together received 756 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (19 papers), Mycotoxins in Agriculture and Food (18 papers) and Wheat and Barley Genetics and Pathology (13 papers). The work is most often cited by research in Cell Biology (352 citations), Plant Science (734 citations) and Agronomy and Crop Science (58 citations). Silvia Pereyra has collaborated with scholars based in Uruguay, United States and Mexico. Frequent co-authors include Ruth Dill‐Macky, Albert L. Sims, Silvia Germán, Silvana Vero, J. D. Franckowiak, Lee T. Hickey, G. J. Platz, Gabriela Garmendia, Mark J. Dieters and Todd J. Ward. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Food Microbiology and Theoretical and Applied Genetics.
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.