Miguel Garriga
- Plant Science top 5%
- Molecular Biology
- Ecology
- Computational Theory and Mathematics top 5%
- Analytical Chemistry top 5%
- Co-authors
- Julio CaballeroGustavo A. LobosP. D. S. CaligariSebastián Romero‐BravoMichael FernándezJorge B. RetamalesAlejandro del PozoÍker Aranjuelo
- Topics
- Computational Drug Discovery Methods (7 papers)Berry genetics and cultivation research (7 papers)Plant responses to elevated CO2 (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Miguel Garriga
29 papers receiving 683 citations
Peers
Comparison fields: 5 of 89
- Plant Science 468
- Molecular Biology 150
- Ecology 116
- Computational Theory and Mathematics 86
- Analytical Chemistry 74
Countries citing papers authored by Miguel Garriga
This map shows the geographic impact of Miguel Garriga'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 Miguel Garriga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Garriga more than expected).
Fields of papers citing papers by Miguel Garriga
This network shows the impact of papers produced by Miguel Garriga. 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 Miguel Garriga. The network helps show where Miguel Garriga may publish in the future.
Co-authorship network of co-authors of Miguel Garriga
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Garriga. A scholar is included among the top collaborators of Miguel Garriga 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 Miguel Garriga. Miguel Garriga 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 | 6 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 30 | |
| 9 | 13 | |
| 10 | 65 | |
| 11 | 40 | |
| 12 | 76 | |
| 13 | Inter Simple Sequence Repeat Markers Associated with Flowering Time Duration in the Chilean Strawberry (Fragaria chiloensis) | 5 |
| 14 | 19 | |
| 15 | 3 | |
| 16 | Radiosensitivity to gamma rays (60Co) in shoot tips of henequen | 1 |
| 17 | Radiosensibilidad a rayos gamma (60Co) en brotes de henequén | 0 |
| 18 | 18 | |
| 19 | 56 | |
| 20 | 28 |
About Miguel Garriga
Miguel Garriga is a scholar working on Agronomy and Crop Science, Plant Science and Computational Theory and Mathematics, having authored 35 papers that have together received 701 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Berry genetics and cultivation research (7 papers) and Plant responses to elevated CO2 (6 papers). The work is most often cited by research in Plant Science (468 citations), Analytical Chemistry (74 citations) and Agronomy and Crop Science (63 citations). Miguel Garriga has collaborated with scholars based in Chile, Cuba and Spain. Frequent co-authors include Julio Caballero, Gustavo A. Lobos, P. D. S. Caligari, Sebastián Romero‐Bravo, Michael Fernández, Jorge B. Retamales, Alejandro del Pozo, Íker Aranjuelo, José Ignacio Abreu and Leyden Fernández. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.