Carlos Rial
Impact in
- Plant Science top 5%
- Plant Parasitism and Resistance
- Allelopathy and phytotoxic interactions
- Weed Control and Herbicide Applications
- Plant Molecular Biology Research
- Cynara cardunculus studies
- Legume Nitrogen Fixing Symbiosis
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- Plant and animal studies
Papers in
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- Allelopathy and phytotoxic interactions 19
- Plant Parasitism and Resistance 15
- Cynara cardunculus studies 9
- Plant Molecular Biology Research 7
- Weed Control and Herbicide Applications 5
- Co-authors
- Rosa M. Varela (33 shared papers)Francisco A. Macı́as (34 shared papers)José M. G. Molinillo (29 shared papers)Juan A. López‐Ráez (4 shared papers)Jesús G. Zorrilla (8 shared papers)Giovanni Mauromicale (4 shared papers)Aurelio Scavo (4 shared papers)Paula Novaes (1 shared paper)
In The Last Decade
Carlos Rial
41 papers receiving 617 citations
Peers
Comparison fields: 5 of 57
- Plant Science 519
- Ecology, Evolution, Behavior and Systematics 106
- Biochemistry 30
- Toxicology 13
- Cancer Research 53
Countries citing papers authored by Carlos Rial
This map shows the geographic impact of Carlos Rial'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 Carlos Rial with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Rial more than expected).
Fields of papers citing papers by Carlos Rial
This network shows the impact of papers produced by Carlos Rial. 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 Carlos Rial. The network helps show where Carlos Rial may publish in the future.
Co-authors
The 25 scholars most cited alongside Carlos Rial, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 60 | |
| 2 | 2019 | 44 | |
| 3 | 2018 | 39 | |
| 4 | 2021 | 38 | |
| 5 | 2019 | 37 | |
| 6 | 2019 | 35 | |
| 7 | 2020 | 34 | |
| 8 | 2018 | 29 | |
| 9 | 2016 | 27 | |
| 10 | 2018 | 27 | |
| 11 | 2016 | 26 | |
| 12 | 2019 | 22 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 17 | |
| 15 | 2022 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2017 | 11 |
About Carlos Rial
Carlos Rial is a scholar working on Plant Science, Molecular Biology, Cancer Research, Ecology, Evolution, Behavior and Systematics and Cell Biology, having authored 41 papers that have together received 633 indexed citations. Recurring topics across this work include Allelopathy and phytotoxic interactions (19 papers), Plant Parasitism and Resistance (15 papers), Sesquiterpenes and Asteraceae Studies (9 papers), Cynara cardunculus studies (9 papers), Plant and animal studies (8 papers), Plant Molecular Biology Research (7 papers), Weed Control and Herbicide Applications (5 papers) and Plant Pathogens and Fungal Diseases (4 papers). The work is most often cited by research in Plant Science (519 citations), Ecology, Evolution, Behavior and Systematics (106 citations), Biochemistry (30 citations), Toxicology (13 citations) and Cancer Research (53 citations). Carlos Rial has collaborated with scholars based in Spain, Italy and Portugal. Frequent co-authors include Rosa M. Varela, Francisco A. Macı́as, José M. G. Molinillo, Juan A. López‐Ráez, Jesús G. Zorrilla, Giovanni Mauromicale, Aurelio Scavo, Paula Novaes, Marı́a J. Pozo and Pablo Cornejo. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Agronomy, Plant Cell & Environment, Molecules and Industrial Crops and Products.
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.