S. Casano
Impact in
- Pharmacology top 2%
- Cannabis and Cannabinoid Research
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
Papers in
-
- GABA and Rice Research 5
- Plant Parasitism and Resistance 4
- Pharmacology 10
- Cannabis and Cannabinoid Research 10
- Co-authors
- Carlos Ferreiro‐Vera (8 shared papers)Carolina Sánchez-Carnerero Callado (4 shared papers)Xavier Nadal (3 shared papers)Gianpaolo Grassi (3 shared papers)Nieves Núñez-Sánchez (1 shared paper)Verónica Sánchez de Medina (2 shared papers)Irene Reyes‐Resina (2 shared papers)Gemma Navarro (2 shared papers)
In The Last Decade
S. Casano
18 papers receiving 597 citations
Peers
Comparison fields: 5 of 81
- Pharmacology 417
- Toxicology 34
- Plant Science 292
- Cellular and Molecular Neuroscience 129
- Nutrition and Dietetics 54
Countries citing papers authored by S. Casano
This map shows the geographic impact of S. Casano'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 S. Casano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Casano more than expected).
Fields of papers citing papers by S. Casano
This network shows the impact of papers produced by S. Casano. 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 S. Casano. The network helps show where S. Casano may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Casano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 113 | |
| 2 | 2017 | 96 | |
| 3 | 2018 | 75 | |
| 4 | 2018 | 59 | |
| 5 | 2011 | 51 | |
| 6 | 2019 | 49 | |
| 7 | 2010 | 40 | |
| 8 | 2001 | 36 | |
| 9 | Impact of Plant Density and Irrigation on Yield of Hemp (Cannabis sativa L.) in a Mediterranean Semi-arid Environment | 2014 | 29 |
| 10 | 2018 | 18 | |
| 11 | 1999 | 17 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 1999 | 9 | |
| 15 | 2018 | 4 | |
| 16 | 2019 | 2 | |
| 17 | The propagation of caper (Capparis spinosa L.) | 1993 | 1 |
| 18 | 2020 | 1 | |
| 19 | Evaluation of media for hemp (Cannabis sativa L.) in vitro propagation. | 2009 | 1 |
About S. Casano
S. Casano is a scholar working on Plant Science, Pharmacology, Molecular Biology, Genetics and Surgery, having authored 19 papers that have together received 622 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (10 papers), GABA and Rice Research (5 papers), Plant Parasitism and Resistance (4 papers), Advances in Cucurbitaceae Research (3 papers), Plant tissue culture and regeneration (3 papers), Pancreatic function and diabetes (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Seed and Plant Biochemistry (2 papers). The work is most often cited by research in Pharmacology (417 citations), Toxicology (34 citations), Plant Science (292 citations), Cellular and Molecular Neuroscience (129 citations) and Nutrition and Dietetics (54 citations). S. Casano has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Carlos Ferreiro‐Vera, Carolina Sánchez-Carnerero Callado, Xavier Nadal, Gianpaolo Grassi, Nieves Núñez-Sánchez, Verónica Sánchez de Medina, Irene Reyes‐Resina, Gemma Navarro, Rafael Rivas‐Santisteban and Iván Francisco García-Tejero. Their work appears in journals such as Plant Disease, Talanta, Industrial Crops and Products, Sensors and Actuators B Chemical and Biochemical Pharmacology.
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.