Tatsuya Inamura
- Plant Science top 5%
- Pollution top 5%
- Molecular Biology
- Ecology
- Soil Science top 10%
- Co-authors
- Satoshi IwakamiAkira UchinoHiroaki WatanabeTakashi TanakaYuji YamasueKunzhi LiMikio UmedaHiroyuki Shibaike
- Topics
- Rice Cultivation and Yield Improvement (17 papers)Soil Carbon and Nitrogen Dynamics (10 papers)Agriculture, Soil, Plant Science (7 papers)
In The Last Decade
Tatsuya Inamura
44 papers receiving 692 citations
Peers
Comparison fields: 5 of 58
- Plant Science 497
- Pollution 224
- Molecular Biology 151
- Ecology 115
- Soil Science 82
Countries citing papers authored by Tatsuya Inamura
This map shows the geographic impact of Tatsuya Inamura'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 Tatsuya Inamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Inamura more than expected).
Fields of papers citing papers by Tatsuya Inamura
This network shows the impact of papers produced by Tatsuya Inamura. 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 Tatsuya Inamura. The network helps show where Tatsuya Inamura may publish in the future.
Co-authorship network of co-authors of Tatsuya Inamura
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Inamura. A scholar is included among the top collaborators of Tatsuya Inamura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tatsuya Inamura. Tatsuya Inamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 20 | |
| 7 | 17 | |
| 8 | 32 | |
| 9 | 82 | |
| 10 | Dietary nitrate loads on cows in dairy farms near Lake Dian, Kunming City, Yunnan Province, China. | 1 |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 17 The farming system characteristic and problems of its development at suburb agricultural area in China's western inland region :In the case of Renho ward in Panzhihua city, Sichuan | 1 |
| 16 | Dynamics of Nitrogen Uptake of Rice in Rotation Paddy Field | 1 |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 0 | |
| 20 | Modeling and Evaluation of Productivity of Rainfed Rice in Northeast Thailand | 5 |
About Tatsuya Inamura
Tatsuya Inamura is a scholar working on Soil Science, Plant Science and Industrial and Manufacturing Engineering, having authored 49 papers that have together received 722 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (17 papers), Soil Carbon and Nitrogen Dynamics (10 papers) and Agriculture, Soil, Plant Science (7 papers). The work is most often cited by research in Pollution (224 citations), Plant Science (497 citations) and Industrial and Manufacturing Engineering (75 citations). Tatsuya Inamura has collaborated with scholars based in Japan, China and France. Frequent co-authors include Satoshi Iwakami, Akira Uchino, Hiroaki Watanabe, Takashi Tanaka, Yuji Yamasue, Kunzhi Li, Mikio Umeda, Hiroyuki Shibaike, M. Endo and Hiroaki Saika. Their work appears in journals such as The Science of The Total Environment, PLANT PHYSIOLOGY and Journal of Environmental Management.
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.