Guillermo Seijo
- Plant Science top 1%
- Molecular Biology
- Inorganic Chemistry top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Genetics
- Co-authors
- Germán RobledoAveliano FernándezGraciela I. LaviaDavid J. BertioliAntonio KrapovickasEduardo A. MosconeDaniel A. DucasseViviana G. Solís Neffa
- Topics
- Peanut Plant Research Studies (41 papers)Chromosomal and Genetic Variations (23 papers)Plant Virus Research Studies (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Plant Journal
- Partner nations
- ArgentinaBrazilUnited States
In The Last Decade
Guillermo Seijo
73 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 64
- Plant Science 1.5k
- Molecular Biology 604
- Inorganic Chemistry 440
- Ecology, Evolution, Behavior and Systematics 404
- Genetics 93
Countries citing papers authored by Guillermo Seijo
This map shows the geographic impact of Guillermo Seijo'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 Guillermo Seijo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Seijo more than expected).
Fields of papers citing papers by Guillermo Seijo
This network shows the impact of papers produced by Guillermo Seijo. 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 Guillermo Seijo. The network helps show where Guillermo Seijo may publish in the future.
Co-authorship network of co-authors of Guillermo Seijo
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Seijo. A scholar is included among the top collaborators of Guillermo Seijo 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 Guillermo Seijo. Guillermo Seijo 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 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 14 | |
| 9 | 11 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 42 | |
| 13 | 27 | |
| 14 | 42 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 39 | |
| 18 | Análisis de la producción y frecuencia de microsporas no reducidas en diploides de Turnera sidoides (Turneraceae) | 6 |
| 19 | 156 | |
| 20 | 4 |
About Guillermo Seijo
Guillermo Seijo is a scholar working on Plant Science, Inorganic Chemistry and Ecology, Evolution, Behavior and Systematics, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Peanut Plant Research Studies (41 papers), Chromosomal and Genetic Variations (23 papers) and Plant Virus Research Studies (20 papers). The work is most often cited by research in Plant Science (1.5k citations), Inorganic Chemistry (440 citations) and Ecology, Evolution, Behavior and Systematics (404 citations). Guillermo Seijo has collaborated with scholars based in Argentina, Brazil and United States. Frequent co-authors include Germán Robledo, Aveliano Fernández, Graciela I. Lavia, David J. Bertioli, Antonio Krapovickas, Eduardo A. Moscone, Daniel A. Ducasse, Viviana G. Solís Neffa, Silvina C. Pessino and José Francisco Montenegro Valls. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Journal.
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.