Phillip SanMiguel
- Plant Science top 0.1%
- Molecular Biology top 1%
- Genetics top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Agronomy and Crop Science top 2%
- Co-authors
- Jeffrey L. BennetzenAlexander P. TikhonovYuko NakajimaWusirika RamakrishnaZoya AvramovaOlivier PanaudJorge DubcovskyThomas Wicker
- Topics
- Chromosomal and Genetic Variations (36 papers)Plant Disease Resistance and Genetics (26 papers)Genomics and Phylogenetic Studies (19 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Phillip SanMiguel
55 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Plant Science 6.9k
- Molecular Biology 4.1k
- Genetics 1.6k
- Ecology, Evolution, Behavior and Systematics 394
- Agronomy and Crop Science 310
Countries citing papers authored by Phillip SanMiguel
This map shows the geographic impact of Phillip SanMiguel'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 Phillip SanMiguel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip SanMiguel more than expected).
Fields of papers citing papers by Phillip SanMiguel
This network shows the impact of papers produced by Phillip SanMiguel. 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 Phillip SanMiguel. The network helps show where Phillip SanMiguel may publish in the future.
Co-authorship network of co-authors of Phillip SanMiguel
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip SanMiguel. A scholar is included among the top collaborators of Phillip SanMiguel 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 Phillip SanMiguel. Phillip SanMiguel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 24 | |
| 3 | 6 | |
| 4 | 21 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 25 | |
| 8 | 55 | |
| 9 | 29 | |
| 10 | 9 | |
| 11 | A unified classification system for eukaryotic transposable elementsbreakdown → | 2025 |
| 12 | 75 | |
| 13 | 48 | |
| 14 | 43 | |
| 15 | 111 | |
| 16 | 22 | |
| 17 | 141 | |
| 18 | 48 | |
| 19 | 91 | |
| 20 | The paleontology of intergene retrotransposons of maizebreakdown → | 732 |
About Phillip SanMiguel
Phillip SanMiguel is a scholar working on Plant Science, Microbiology and Parasitology, having authored 56 papers that have together received 7.7k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (36 papers), Plant Disease Resistance and Genetics (26 papers) and Genomics and Phylogenetic Studies (19 papers). The work is most often cited by research in Plant Science (6.9k citations), Molecular Biology (4.1k citations) and Genetics (1.6k citations). Phillip SanMiguel has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jeffrey L. Bennetzen, Alexander P. Tikhonov, Yuko Nakajima, Wusirika Ramakrishna, Zoya Avramova, Olivier Panaud, Jorge Dubcovsky, Thomas Wicker, Philippe Leroy and Andrew J. Flavell. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature 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.