Yasushi Ishigooka
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- Climate change impacts on agriculture 23
- Global and Planetary Change top 5%
- Climate variability and models 7
- Plant Water Relations and Carbon Dynamics 6
- Soil Science top 10%
- Plant Science top 10%
- Rice Cultivation and Yield Improvement 19
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies 7
- Water-Energy-Food Nexus Studies 5
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- Genetic Mapping and Diversity in Plants and Animals 6
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- Urban Heat Island Mitigation 6
- Co-authors
- Tsuneo KuwagataToshihiro HasegawaMotoki NishimoriMasayuki YokozawaToshichika IizumiGen SakuraiJun FuruyaMayumi Yoshimoto
In The Last Decade
Yasushi Ishigooka
48 papers receiving 804 citations
Peers
Comparison fields: 5 of 66
- Ecology, Evolution, Behavior and Systematics 355
- Global and Planetary Change 360
- Soil Science 122
- Plant Science 340
- Water Science and Technology 120
Countries citing papers authored by Yasushi Ishigooka
This map shows the geographic impact of Yasushi Ishigooka'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 Yasushi Ishigooka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasushi Ishigooka more than expected).
Fields of papers citing papers by Yasushi Ishigooka
This network shows the impact of papers produced by Yasushi Ishigooka. 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 Yasushi Ishigooka. The network helps show where Yasushi Ishigooka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasushi Ishigooka, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 2 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 11 | |
| 11 | 2016 | 40 | |
| 12 | 2016 | 24 | |
| 13 | 2015 | 21 | |
| 14 | 2014 | 10 | |
| 15 | 2011 | 8 | |
| 16 | 2011 | 19 | |
| 17 | 2010 | 3 | |
| 18 | 2009 | 2 | |
| 19 | 2009 | 61 | |
| 20 | 1998 | 3 |
About Yasushi Ishigooka
Yasushi Ishigooka is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Water Science and Technology, having authored 49 papers that have together received 836 indexed citations. Recurring topics across this work include Climate change impacts on agriculture (23 papers), Rice Cultivation and Yield Improvement (19 papers), Hydrology and Watershed Management Studies (7 papers), Climate variability and models (7 papers), Plant Water Relations and Carbon Dynamics (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Urban Heat Island Mitigation (6 papers) and Water-Energy-Food Nexus Studies (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (355 citations), Global and Planetary Change (360 citations) and Soil Science (122 citations). Yasushi Ishigooka has collaborated with scholars based in Japan, China and Thailand. Frequent co-authors include Tsuneo Kuwagata, Toshihiro Hasegawa, Motoki Nishimori, Masayuki Yokozawa, Toshichika Iizumi, Gen Sakurai, Jun Furuya, Mayumi Yoshimoto, Shinji Sawano and Hitoshi Toritani. Their work appears in journals such as Paddy and Water Environment, Journal of the Meteorological Society of Japan Ser II, The Science of The Total Environment, Journal of Agricultural Meteorology and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.