Kayode Sanni
Impact in
- Plant Science top 10%
- Rice Cultivation and Yield Improvement
- GABA and Rice Research
- Genetics and Plant Breeding
- Plant responses to water stress
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- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Rice Cultivation and Yield Improvement 13
- GABA and Rice Research 5
- Genetics and Plant Breeding 5
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- Advanced Memory and Neural Computing 6
- CCD and CMOS Imaging Sensors 4
- Low-power high-performance VLSI design 2
- Co-authors
- Andreas G. Andreou (9 shared papers)Jiye Shi (1 shared paper)Aroop Sircar (1 shared paper)Jeffrey J. Gray (1 shared paper)S. A. Ogunbayo (10 shared papers)Eklou A. Somado (6 shared papers)M. Sié (7 shared papers)F.E. Nwilene (3 shared papers)
- Journals
- Crop Science (1 paper)Field Crops Research (1 paper)Theoretical and Applied Genetics (1 paper)Euphytica (1 paper)IEEE Access (1 paper)
- Partner nations
- United StatesIvory CoastNigeria
In The Last Decade
Kayode Sanni
23 papers receiving 336 citations
Peers
Comparison fields: 5 of 68
- Plant Science 192
- Genetics 82
- Radiology, Nuclear Medicine and Imaging 60
- Horticulture 2
- General Agricultural and Biological Sciences 12
Countries citing papers authored by Kayode Sanni
This map shows the geographic impact of Kayode Sanni'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 Kayode Sanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayode Sanni more than expected).
Fields of papers citing papers by Kayode Sanni
This network shows the impact of papers produced by Kayode Sanni. 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 Kayode Sanni. The network helps show where Kayode Sanni may publish in the future.
Co-authors
The 25 scholars most cited alongside Kayode Sanni, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 76 | |
| 2 | 2012 | 52 | |
| 3 | 2015 | 37 | |
| 4 | 2014 | 31 | |
| 5 | 2016 | 29 | |
| 6 | 2007 | 24 | |
| 7 | 2006 | 18 | |
| 8 | 2008 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2008 | 12 | |
| 12 | 2012 | 8 | |
| 13 | 2010 | 7 | |
| 14 | 2018 | 7 | |
| 15 | Screening African rice (O. glaberrima Steud.) for tolerance to abiotic stress. III. flooding. | 2019 | 6 |
| 16 | 2015 | 6 | |
| 17 | 2007 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2020 | 1 |
About Kayode Sanni
Kayode Sanni is a scholar working on Plant Science, Electrical and Electronic Engineering, Genetics, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 24 papers that have together received 369 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (13 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Advanced Memory and Neural Computing (6 papers), GABA and Rice Research (5 papers), Genetics and Plant Breeding (5 papers), CCD and CMOS Imaging Sensors (4 papers), Analog and Mixed-Signal Circuit Design (2 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Plant Science (192 citations), Genetics (82 citations), Radiology, Nuclear Medicine and Imaging (60 citations), Horticulture (2 citations) and General Agricultural and Biological Sciences (12 citations). Kayode Sanni has collaborated with scholars based in United States, Ivory Coast and Nigeria. Frequent co-authors include Andreas G. Andreou, Jiye Shi, Aroop Sircar, Jeffrey J. Gray, S. A. Ogunbayo, Eklou A. Somado, M. Sié, F.E. Nwilene, Guillaume Garreau and I. Fawole. Their work appears in journals such as Crop Science, Field Crops Research, Theoretical and Applied Genetics, Euphytica and IEEE Access.
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.