Tatsuya Inamura

902 total citations
49 papers, 722 citations indexed

About

Tatsuya Inamura is a scholar working on Plant Science, Soil Science and Ecology. According to data from OpenAlex, Tatsuya Inamura has authored 49 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 13 papers in Soil Science and 12 papers in Ecology. Recurrent topics in Tatsuya Inamura's work include Rice Cultivation and Yield Improvement (17 papers), Soil Carbon and Nitrogen Dynamics (10 papers) and Agriculture, Soil, Plant Science (7 papers). Tatsuya Inamura is often cited by papers focused on Rice Cultivation and Yield Improvement (17 papers), Soil Carbon and Nitrogen Dynamics (10 papers) and Agriculture, Soil, Plant Science (7 papers). Tatsuya Inamura collaborates with scholars based in Japan, China and France. Tatsuya Inamura's co-authors include Akira Uchino, Hiroaki Watanabe, Satoshi Iwakami, Takashi Tanaka, Yuji Yamasue, Kunzhi Li, Mikio Umeda, Hiroyuki Shibaike, M. Endo and Jun’ichi Okuno and has published in prestigious journals such as The Science of The Total Environment, PLANT PHYSIOLOGY and Journal of Environmental Management.

In The Last Decade

Tatsuya Inamura

44 papers receiving 692 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tatsuya Inamura Japan 15 497 224 151 115 82 49 722
John Scullion United Kingdom 17 346 0.7× 113 0.5× 48 0.3× 172 1.5× 219 2.7× 44 773
Hamed Azarbad Germany 14 246 0.5× 208 0.9× 110 0.7× 244 2.1× 147 1.8× 30 660
Oksana Coban Netherlands 4 151 0.3× 146 0.7× 74 0.5× 227 2.0× 182 2.2× 6 584
Xiubin Ke China 11 222 0.4× 281 1.3× 189 1.3× 365 3.2× 145 1.8× 20 688
Christopher Rösch Germany 6 228 0.5× 311 1.4× 180 1.2× 517 4.5× 278 3.4× 6 804
Xingjie Wu China 9 229 0.5× 80 0.4× 99 0.7× 218 1.9× 232 2.8× 16 507
Yanjun Guo China 18 568 1.1× 35 0.2× 143 0.9× 103 0.9× 189 2.3× 67 861
Tianzhu Meng China 12 321 0.6× 123 0.5× 56 0.4× 195 1.7× 417 5.1× 16 698
Junjun Ding China 16 278 0.6× 133 0.6× 192 1.3× 432 3.8× 364 4.4× 24 947
Rodrigo Werle United States 19 968 1.9× 320 1.4× 105 0.7× 65 0.6× 230 2.8× 87 1.2k

Countries citing papers authored by Tatsuya Inamura

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Tanaka, Takashi, et al.. (2020). Efficiency of soil solarization on control of Chinese cabbage clubroot. Acta Agriculturae Zhejiangensis. 32(1). 98.
2.
Wang, Lin, et al.. (2019). Life cycle assessment of 36 dairy farms with by-product feeding in Southwestern China. The Science of The Total Environment. 696. 133985–133985. 27 indexed citations
3.
4.
5.
Tanaka, Takashi, et al.. (2016). Effect of Phragmites japonicus harvest frequency and timing on dry matter yield and nutritive value. Journal of Environmental Management. 187. 436–443. 15 indexed citations
6.
Wang, Lin, Kazato Oishi, Kunzhi Li, et al.. (2015). Estimation of potassium and magnesium flows in animal production in Dianchi Lake basin, China. Animal Science Journal. 87(7). 938–946. 2 indexed citations
7.
Wang, Lin, Kazato Oishi, Kunzhi Li, et al.. (2015). Estimation of nitrogen and phosphorus flows in livestock production in Dianchi Lake basin, China. Animal Science Journal. 87(1). 37–45. 13 indexed citations
8.
Iwakami, Satoshi, Akira Uchino, Hiroaki Watanabe, Yuji Yamasue, & Tatsuya Inamura. (2012). Isolation and expression of genes for acetolactate synthase and acetyl‐CoA carboxylase in Echinochloa phyllopogon, a polyploid weed species. Pest Management Science. 68(7). 1098–1106. 82 indexed citations
9.
Oishi, Kazato, et al.. (2011). Dietary nitrate loads on cows in dairy farms near Lake Dian, Kunming City, Yunnan Province, China.. 28. 54–57. 1 indexed citations
10.
Suguri, Masahiko, et al.. (2007). Geostatistical Analysis of Spatial Variability of Paddy Rice Nitrogen in Paddy-Upland Rotational Fields for Extension of Precision Agriculture. Journal of the Japanese Society of Agricultural Machinery. 69(2). 69–78. 1 indexed citations
11.
Kitagawa, Masayuki, et al.. (2005). Farm Level Nitrogen Utilization and Cycling in the Mixed Farming System of Beef Fattening and Rice Production. Nihon Chikusan Gakkaiho. 76(3). 321–330. 6 indexed citations
12.
Ryu, Chanseok, Masahiko Suguri, Mikio Umeda, & Tatsuya Inamura. (2004). Estimation of Nitrogen Content of Rice Plant Using Remote Sensing Technology. Journal of the Japanese Society of Agricultural Machinery. 66(2). 85–96. 4 indexed citations
13.
Ryu, Chanseok, Michihisa Iida, Masahiko Suguri, et al.. (2004). Effect of Variable Rate Fertilizer Application Aimed at Reducing the Spatial Variability of Grain Yield on Rice Taste. Journal of the Japanese Society of Agricultural Machinery. 66(5). 49–62. 5 indexed citations
14.
Inamura, Tatsuya, et al.. (2004). 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. Japanese Journal of Crop Science. 73(1). 34–35. 1 indexed citations
15.
Inamura, Tatsuya, et al.. (2003). Dynamics of Nitrogen Uptake of Rice in Rotation Paddy Field. Japanese Journal of Crop Science. 72(2). 32–33. 1 indexed citations
16.
Li, Kunzhi, et al.. (2001). Recovery of 15N-labeled Ammonium by Barley and Maize Grown on the Soils with Long-Term Application of Chemical and Organic Fertilizers. Plant Production Science. 4(1). 29–35. 1 indexed citations
17.
Suguri, Masahiko, Keisuke Iida, Mikio Umeda, Tatsuya Inamura, & Tsutomu Matsui. (2001). Estimation of Nitrogen Content Using Machine Vision in a Paddy Field. Journal of the Japanese Society of Agricultural Machinery. 63(3). 59–66. 8 indexed citations
18.
Inamura, Tatsuya. (2000). Dry Matter Production and Tuber Formation in Water Chestnut Treated with Sulfonylurea Herbicides.. Journal of Weed Science and Technology. 45(3). 173–181.
19.
Ohnishi, Masao, Takeshi Horie, Koki Homma, et al.. (1998). Modeling and Evaluation of Productivity of Rainfed Rice in Northeast Thailand. 日本作物學會紀事. 67(2). 266–267. 5 indexed citations
20.
Horie, Takeshi, et al.. (1998). Land Equivalent Ratio of Groundnut-Fingermillet Intercrops as Affected by Plant Combination Ratio, and Nitrogen and Water Availability. Plant Production Science. 1(1). 39–46. 8 indexed citations

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.

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