Taku Kadoya
- Ecological Modeling top 2%
- Species Distribution and Climate Change 24
-
- Ecology and Vegetation Dynamics Studies 21
- Fish Ecology and Management Studies 18
- Ecology top 2%
- Wildlife Ecology and Conservation 9
-
- Plant and animal studies 15
- Developmental Biology top 5%
-
- Land Use and Ecosystem Services 12
- Conservation, Biodiversity, and Resource Management 7
-
- Aquatic Ecosystems and Phytoplankton Dynamics 10
- Co-authors
- Izumi WashitaniShin‐ichi SudaShin‐ichiro S. MatsuzakiNoriko TakamuraAkira YoshiokaVolkmar WoltersMunemitsu AkasakaTim Diekötter
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Taku Kadoya
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Ecological Modeling 295
- Nature and Landscape Conservation 551
- Ecology 729
- Ecology, Evolution, Behavior and Systematics 387
- Developmental Biology 40
Countries citing papers authored by Taku Kadoya
This map shows the geographic impact of Taku Kadoya'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 Taku Kadoya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taku Kadoya more than expected).
Fields of papers citing papers by Taku Kadoya
This network shows the impact of papers produced by Taku Kadoya. 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 Taku Kadoya. The network helps show where Taku Kadoya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taku Kadoya, 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 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 26 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 2 | |
| 13 | Challenges of post-Aichi Biodiversity Targets from ecological perspectives | 2019 | 1 |
| 14 | 2018 | 11 | |
| 15 | 2018 | 16 | |
| 16 | 2017 | 14 | |
| 17 | 2015 | 24 | |
| 18 | 2015 | 21 | |
| 19 | 2014 | 10 | |
| 20 | Impacts of common carp (Cyprinus carpio) on aquatic plants at small agricultural ponds in Ichinoseki City, Iwate Prefecture. | 2010 | 3 |
About Taku Kadoya
Taku Kadoya is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (24 papers), Ecology and Vegetation Dynamics Studies (21 papers), Fish Ecology and Management Studies (18 papers), Plant and animal studies (15 papers), Land Use and Ecosystem Services (12 papers), Aquatic Ecosystems and Phytoplankton Dynamics (10 papers), Wildlife Ecology and Conservation (9 papers) and Conservation, Biodiversity, and Resource Management (7 papers). The work is most often cited by research in Ecological Modeling (295 citations), Nature and Landscape Conservation (551 citations) and Ecology (729 citations). Taku Kadoya has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Izumi Washitani, Shin‐ichi Suda, Shin‐ichiro S. Matsuzaki, Noriko Takamura, Akira Yoshioka, Volkmar Wolters, Munemitsu Akasaka, Tim Diekötter, Frank Jauker and Franziska Peter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.