Sachio Maruyama

725 total citations
41 papers, 589 citations indexed

About

Sachio Maruyama is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Sachio Maruyama has authored 41 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 10 papers in Ecology, Evolution, Behavior and Systematics and 10 papers in Agronomy and Crop Science. Recurrent topics in Sachio Maruyama's work include Rice Cultivation and Yield Improvement (18 papers), Plant responses to water stress (10 papers) and Agriculture, Soil, Plant Science (9 papers). Sachio Maruyama is often cited by papers focused on Rice Cultivation and Yield Improvement (18 papers), Plant responses to water stress (10 papers) and Agriculture, Soil, Plant Science (9 papers). Sachio Maruyama collaborates with scholars based in Japan, Egypt and United States. Sachio Maruyama's co-authors include Yasunori Nakamura, Mitsuru Yoshida, Akemi K. Horigane, Ken’ichi Ohtsubo, Hitoshi Takahashi, Tôru Satô, Noriaki Aoki, Naoyoshi Inouchi, Hideyuki Hirabayashi and Masahiro Yano and has published in prestigious journals such as PLANT PHYSIOLOGY, Planta and Field Crops Research.

In The Last Decade

Sachio Maruyama

41 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sachio Maruyama Japan 13 469 166 70 70 63 41 589
Yuji Matsue Japan 13 577 1.2× 199 1.2× 140 2.0× 76 1.1× 64 1.0× 75 656
Christopher R. Little United States 15 685 1.5× 56 0.3× 116 1.7× 59 0.8× 193 3.1× 69 848
Tatsuo Kuwabara Japan 11 356 0.8× 166 1.0× 26 0.4× 43 0.6× 42 0.7× 29 436
Maysaya Thitisaksakul Thailand 11 592 1.3× 305 1.8× 25 0.4× 114 1.6× 96 1.5× 20 731
Wenzhe Liu China 9 279 0.6× 124 0.7× 37 0.5× 26 0.4× 39 0.6× 31 359
Kerry M. Kothari United States 8 732 1.6× 236 1.4× 31 0.4× 60 0.9× 308 4.9× 8 826
Norberto Pogna Italy 15 349 0.7× 114 0.7× 42 0.6× 45 0.6× 108 1.7× 25 493
Gyula Vida Hungary 19 874 1.9× 79 0.5× 171 2.4× 41 0.6× 188 3.0× 79 951
Vilas A. Tonapi India 12 584 1.2× 73 0.4× 200 2.9× 80 1.1× 227 3.6× 72 810

Countries citing papers authored by Sachio Maruyama

Since Specialization
Citations

This map shows the geographic impact of Sachio Maruyama'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 Sachio Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachio Maruyama more than expected).

Fields of papers citing papers by Sachio Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sachio Maruyama. 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 Sachio Maruyama. The network helps show where Sachio Maruyama may publish in the future.

Co-authorship network of co-authors of Sachio Maruyama

This figure shows the co-authorship network connecting the top 25 collaborators of Sachio Maruyama. A scholar is included among the top collaborators of Sachio Maruyama 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 Sachio Maruyama. Sachio Maruyama 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.
Maruyama, Sachio, et al.. (2020). Effects of Irrigation Interval and Method on Growth, Photosynthesis, Yield, and Water Use Efficiency of Maize in the Nile Delta of Egypt. Tropical agriculture and development. 64(4). 178–188. 1 indexed citations
2.
Matsunami, Toshinori, et al.. (2020). Analysis of the shallow root system of maize grown by plowing upland fields converted from paddy fields: effects of soil hardness and fertilization. Plant Production Science. 24(3). 297–305. 7 indexed citations
3.
Sakagami, Jun‐Ichi, et al.. (2020). Effect of soil moisture stress at booting and flowering stages on pollen development, pollination and fertilization in upland NERICA cultivars. Australian Journal of Crop Science. 1935–1941. 1 indexed citations
4.
Sakagami, Jun‐Ichi, et al.. (2019). Effect of Soil Moisture Stress at Panicle Development Stage on Growth and Yield of Upland NERICA Cultivars. Tropical agriculture and development. 63(3). 140–149. 1 indexed citations
5.
Sarobol, Ed, et al.. (2018). Effects of Irrigation Interval and Manure Application on Growth and Yield of Field-Grown Maize in Thailand. Tropical agriculture and development. 62(4). 177–185. 4 indexed citations
6.
Maruyama, Sachio, et al.. (2016). Growth, Yield and Related Physiological Traits of Maize under a Prolonged Irrigation Interval in the Nile Delta of Egypt. Tropical agriculture and development. 60(4). 216–225. 2 indexed citations
7.
Ishikawa, Naoto F., et al.. (2015). Evaluation of Intercropping System of Maize and Leguminous Crops in the Nile Delta of Egypt. Tropical agriculture and development. 59(1). 14–19. 9 indexed citations
8.
Koide, Yohei, L. A. Ebron, Hiroshi Kato, et al.. (2011). A set of near-isogenic lines for blast resistance genes with an Indica-type rainfed lowland elite rice (Oryza sativa L.) genetic background. Field Crops Research. 123(1). 19–27. 23 indexed citations
9.
Maruyama, Sachio, et al.. (2009). Meiosis, spermatogenesis and nucleolar behavior in the seminiferous tubules of Alydidae, Coreidae and Rhopalidae (Heteroptera) species. Genetics and Molecular Research. 8(4). 1383–1396. 14 indexed citations
10.
Horigane, Akemi K., Hitoshi Takahashi, Sachio Maruyama, Ken’ichi Ohtsubo, & Mitsuru Yoshida. (2006). Water penetration into rice grains during soaking observed by gradient echo magnetic resonance imaging. Journal of Cereal Science. 44(3). 307–316. 88 indexed citations
11.
Umemoto, Takayuki, Noriaki Aoki, Hong‐Xuan Lin, et al.. (2004). Natural variation in rice starch synthase IIa affects enzyme and starch properties. Functional Plant Biology. 31(7). 671–684. 133 indexed citations
12.
13.
Ishikawa, Tetsuya, et al.. (1999). Dry Matter Production before Heading and Determination of Number of Spikelets of Rice Cultivar "Takanari".. Japanese Journal of Crop Science. 68(1). 63–70. 10 indexed citations
14.
Maruyama, Sachio & Yasunori Nakamura. (1997). Photosynthesis, Dark Respiration and Protein Synthesis of Rice Leaves at Low Temperature. Analysis of Ribulose-1,5-Bisphosphate Carboxylase.. Japanese Journal of Crop Science. 66(1). 85–91. 4 indexed citations
15.
Maruyama, Sachio, et al.. (1990). Response of Rice Leaves to Low Temperature I. Changes in Basic Biochemical Parameters. Plant and Cell Physiology. 37 indexed citations
16.
Matyssek, Rainer, Sachio Maruyama, & John S. Boyer. (1988). Rapid Wall Relaxation in Elongating Tissues. PLANT PHYSIOLOGY. 86(4). 1163–1167. 40 indexed citations
17.
18.
Takanashi, Jun‐ichi, et al.. (1987). Temperature dependency of protein synthesis by cell-free system constructed with polysomes from rice radicle.. Japanese Journal of Crop Science. 56(1). 44–50. 12 indexed citations
19.
Maruyama, Sachio, et al.. (1986). Varietal differences in growth response to temperature of rice seedling.. Japanese Journal of Crop Science. 55(1). 68–70. 4 indexed citations
20.
Maruyama, Sachio, et al.. (1985). Water consumptions in Japonica and Indica rice varieties.. Japanese Journal of Crop Science. 54(1). 32–38. 14 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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