Hiroe Yoshida

1.5k total citations
25 papers, 810 citations indexed

About

Hiroe Yoshida is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hiroe Yoshida has authored 25 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 7 papers in Genetics and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hiroe Yoshida's work include Rice Cultivation and Yield Improvement (17 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and GABA and Rice Research (5 papers). Hiroe Yoshida is often cited by papers focused on Rice Cultivation and Yield Improvement (17 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and GABA and Rice Research (5 papers). Hiroe Yoshida collaborates with scholars based in Japan, Australia and Netherlands. Hiroe Yoshida's co-authors include Takeshi Horie, Tatsuhiko Shiraiwa, Hiroshi Nakagawa, Keisuke Katsura, Shuhei Maeda, Koki Homma, Tetsuo Sakuratani, Jairo A. Palta, Akihiro Hamasaki and Akihiro Ohsumi and has published in prestigious journals such as PLoS ONE, Annals of Botany and Agricultural and Forest Meteorology.

In The Last Decade

Hiroe Yoshida

22 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroe Yoshida Japan 12 747 199 189 130 121 25 810
M. Laza Philippines 17 767 1.0× 150 0.8× 166 0.9× 179 1.4× 101 0.8× 24 845
Woonho Yang South Korea 9 592 0.8× 187 0.9× 159 0.8× 81 0.6× 95 0.8× 41 666
Wanju Shi China 12 840 1.1× 253 1.3× 153 0.8× 172 1.3× 59 0.5× 16 924
Peter R. Thomison United States 15 541 0.7× 104 0.5× 431 2.3× 54 0.4× 106 0.9× 54 702
Tohru Kobata Japan 17 1.1k 1.5× 197 1.0× 450 2.4× 93 0.7× 201 1.7× 59 1.2k
L. Gabriela Abeledo Argentina 20 1.2k 1.6× 121 0.6× 720 3.8× 79 0.6× 126 1.0× 39 1.3k
Xiao‐Gui Liang China 16 624 0.8× 98 0.5× 387 2.0× 40 0.3× 116 1.0× 35 752
Raymond N. Mutava United States 12 1.0k 1.4× 80 0.4× 229 1.2× 93 0.7× 63 0.5× 15 1.1k
Pierre Casadebaig France 15 633 0.8× 131 0.7× 214 1.1× 56 0.4× 71 0.6× 28 764
M. G. Cantarero Argentina 9 703 0.9× 84 0.4× 503 2.7× 56 0.4× 113 0.9× 11 847

Countries citing papers authored by Hiroe Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Hiroe Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroe Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroe Yoshida. A scholar is included among the top collaborators of Hiroe Yoshida 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 Hiroe Yoshida. Hiroe Yoshida 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.
2.
Yamasaki, Masanori, et al.. (2023). Dual ensemble approach to predict rice heading date by integrating multiple rice phenology models and machine learning-based genetic parameter regression models. Agricultural and Forest Meteorology. 344. 109821–109821. 9 indexed citations
3.
Okamura, Masaki, et al.. (2023). Estimation of sink capacity of rice grains: A comparison of calculation methods based on 1000-grain weight and grain projected area. Plant Production Science. 26(3). 236–248. 1 indexed citations
4.
Yabe, Shiori, Hiroe Yoshida, Masanori Yamasaki, et al.. (2022). A novel index to evaluate resource allocation pattern in panicles in Japanese rice cultivars. Plant Production Science. 25(2). 195–210.
5.
Arai‐Sanoh, Yumiko, Masaki Okamura, Shiori Yabe, et al.. (2021). Estimation Accuracy of Growth Traits in Rice using Nondestructive Sensing. Japanese Journal of Crop Science. 90(2). 160–167.
6.
Yoshida, Hiroe, et al.. (2021). A quantitative staging system for describing rice panicle development and its application for a crop phenological model. Agronomy Journal. 113(6). 5040–5053. 5 indexed citations
7.
Arai‐Sanoh, Yumiko, et al.. (2020). Determination of Suitable Harvesting Time of Rice Cultivars with High Yield and High Eating Quality. Japanese Journal of Crop Science. 89(2). 102–109. 1 indexed citations
8.
Yabe, Shiori, Hiroe Yoshida, Hiromi Kajiya‐Kanegae, et al.. (2018). Description of grain weight distribution leading to genomic selection for grain-filling characteristics in rice. PLoS ONE. 13(11). e0207627–e0207627. 28 indexed citations
9.
Yabe, Shiori, Hiroshi Nakagawa, Shunsuke Adachi, et al.. (2018). Model analysis of genotypic difference in the variation of the duration from heading to flower opening based on the flower position on a panicle in high-yielding rice cultivars. Field Crops Research. 223. 155–163. 6 indexed citations
10.
Okamura, Masaki, Yumiko Arai‐Sanoh, Hiroe Yoshida, et al.. (2018). Characterization of high-yielding rice cultivars with different grain-filling properties to clarify limiting factors for improving grain yield. Field Crops Research. 219. 139–147. 89 indexed citations
11.
Oort, P.A.J. van, Michiel E. de Vries, Hiroe Yoshida, & Kazuki Saito. (2015). Improved Climate Risk Simulations for Rice in Arid Environments. PLoS ONE. 10(3). e0118114–e0118114. 55 indexed citations
12.
Nakazono, Kou, Hiroyuki Ohno, Hiroe Yoshida, Kaori Sasaki, & Hiroshi Nakagawa. (2014). Modeling Phenolgical Development in Wheat. Japanese Journal of Crop Science. 83(3). 249–259. 7 indexed citations
13.
Nakazono, Kou, Hiroyuki Ohno, Hiroe Yoshida, & Hiroshi Nakagawa. (2013). Effects of Meteorological Factors During Grain Development on Pre-harvest Sprouting in Wheat. Japanese Journal of Crop Science. 82(2). 183–191. 3 indexed citations
14.
Yoshida, Hiroe, et al.. (2011). N applications that increase plant N during panicle development are highly effective in increasing spikelet number in rice. Field Crops Research. 122(3). 242–247. 106 indexed citations
15.
Yoshida, Hiroe, Takeshi Horie, Kou Nakazono, Hiroyuki Ohno, & Hiroshi Nakagawa. (2011). Simulation of the effects of genotype and N availability on rice growth and yield response to an elevated atmospheric CO2 concentration. Field Crops Research. 124(3). 433–440. 9 indexed citations
16.
Yoshida, Hiroe & Takeshi Horie. (2010). A model for simulating plant N accumulation, growth and yield of diverse rice genotypes grown under different soil and climatic conditions. Field Crops Research. 117(1). 122–130. 24 indexed citations
17.
Yoshida, Hiroe & Takeshi Horie. (2009). A process model for explaining genotypic and environmental variation in growth and yield of rice based on measured plant N accumulation. Field Crops Research. 113(3). 227–237. 31 indexed citations
18.
Yoshida, Hiroe, Takeshi Horie, & Tatsuhiko Shiraiwa. (2008). A model for explaining genotypic and environmental variation in vegetative biomass growth in rice based on observed LAI and leaf nitrogen content. Field Crops Research. 108(3). 222–230. 17 indexed citations
19.
Ohsumi, Akihiro, Akihiro Hamasaki, Hiroshi Nakagawa, et al.. (2007). A Model Explaining Genotypic and Ontogenetic Variation of Leaf Photosynthetic Rate in Rice ( Oryza sativa ) Based on Leaf Nitrogen Content and Stomatal Conductance. Annals of Botany. 99(2). 265–273. 94 indexed citations
20.
Yoshida, Hiroe, Takeshi Horie, Keisuke Katsura, & Tatsuhiko Shiraiwa. (2007). A model explaining genotypic and environmental variation in leaf area development of rice based on biomass growth and leaf N accumulation. Field Crops Research. 102(3). 228–238. 34 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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