Fernando Rivas
Impact in
- Horticulture top 10%
- Plant Science top 5%
- Plant Physiology and Cultivation Studies
- Horticultural and Viticultural Research
- Plant Virus Research Studies
- Pesticide Exposure and Toxicity
Papers in
-
- Plant Physiology and Cultivation Studies 13
- Plant Virus Research Studies 12
- Postharvest Quality and Shelf Life Management 9
- Horticultural and Viticultural Research 5
- Co-authors
- Manuel Agustí (7 shared papers)Ranajit Chakraborty (6 shared papers)Ricardo M. Cerda‐Flores (6 shared papers)Sara A. Barton (3 shared papers)Horácio Heinzen (9 shared papers)Lucila Sandoval (3 shared papers)F. Fornés (2 shared papers)Harvey Checkoway (1 shared paper)
In The Last Decade
Fernando Rivas
63 papers receiving 868 citations
Peers
Comparison fields: 5 of 110
- Horticulture 13
- Plant Science 364
- Rheumatology 93
- Insect Science 83
- Genetics 154
Countries citing papers authored by Fernando Rivas
This map shows the geographic impact of Fernando Rivas'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 Fernando Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Rivas more than expected).
Fields of papers citing papers by Fernando Rivas
This network shows the impact of papers produced by Fernando Rivas. 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 Fernando Rivas. The network helps show where Fernando Rivas may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Rivas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 70 | |
| 2 | 2002 | 69 | |
| 3 | 1999 | 66 | |
| 4 | 2004 | 52 | |
| 5 | 2006 | 49 | |
| 6 | 2000 | 47 | |
| 7 | 1996 | 43 | |
| 8 | 2005 | 36 | |
| 9 | 2004 | 29 | |
| 10 | 2000 | 27 | |
| 11 | 2008 | 26 | |
| 12 | 1983 | 23 | |
| 13 | 1987 | 20 | |
| 14 | 2015 | 20 | |
| 15 | 2007 | 20 | |
| 16 | 2015 | 18 | |
| 17 | 2010 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2019 | 15 | |
| 20 | Blood lead concentrations and associated factors in residents of Monterrey, Mexico. | 1996 | 15 |
About Fernando Rivas
Fernando Rivas is a scholar working on Plant Science, Molecular Biology, Genetics, Insect Science and Food Science, having authored 72 papers that have together received 936 indexed citations. Recurring topics across this work include Plant Physiology and Cultivation Studies (13 papers), Plant Virus Research Studies (12 papers), Postharvest Quality and Shelf Life Management (9 papers), Insect-Plant Interactions and Control (8 papers), Horticultural and Viticultural Research (5 papers), Pesticide Residue Analysis and Safety (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Insect symbiosis and bacterial influences (4 papers). The work is most often cited by research in Horticulture (13 citations), Plant Science (364 citations), Rheumatology (93 citations), Insect Science (83 citations) and Genetics (154 citations). Fernando Rivas has collaborated with scholars based in Mexico, Uruguay and Spain. Frequent co-authors include Manuel Agustí, Ranajit Chakraborty, Ricardo M. Cerda‐Flores, Sara A. Barton, Horácio Heinzen, Lucila Sandoval, F. Fornés, Harvey Checkoway, Matthew Keifer and Jai-Dong Moon. Their work appears in journals such as Scientia Horticulturae, American Journal of Human Biology, Gene, Clinical Genetics and Journal of the Renin-Angiotensin-Aldosterone System.
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.