Koichi Futakuchi

2.0k total citations
73 papers, 1.3k citations indexed

About

Koichi Futakuchi is a scholar working on Plant Science, Agronomy and Crop Science and Nutrition and Dietetics. According to data from OpenAlex, Koichi Futakuchi has authored 73 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 9 papers in Agronomy and Crop Science and 8 papers in Nutrition and Dietetics. Recurrent topics in Koichi Futakuchi's work include Rice Cultivation and Yield Improvement (44 papers), GABA and Rice Research (18 papers) and Plant responses to water stress (15 papers). Koichi Futakuchi is often cited by papers focused on Rice Cultivation and Yield Improvement (44 papers), GABA and Rice Research (18 papers) and Plant responses to water stress (15 papers). Koichi Futakuchi collaborates with scholars based in Ivory Coast, United States and Benin. Koichi Futakuchi's co-authors include Kazuki Saito, Koffi Djaman, Suat Irmak, Baboucarr Manneh, Sali Atanga Ndindeng, M. Sié, Alpha Bocar Baldé, Abdoulaye Sow, Aminou Arouna and John Manful and has published in prestigious journals such as Renewable Energy, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

Koichi Futakuchi

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koichi Futakuchi Ivory Coast 21 785 264 218 169 137 73 1.3k
Larissa Pereira Ribeiro Teodoro Brazil 20 1.3k 1.6× 280 1.1× 141 0.6× 55 0.3× 72 0.5× 209 2.0k
Hui Gao China 20 661 0.8× 96 0.4× 146 0.7× 216 1.3× 36 0.3× 76 1.1k
Shen Yuan China 21 913 1.2× 65 0.2× 249 1.1× 344 2.0× 105 0.8× 53 1.3k
Heping Zhang China 16 508 0.6× 282 1.1× 532 2.4× 107 0.6× 166 1.2× 26 1.3k
MS Kabir Bangladesh 18 677 0.9× 53 0.2× 235 1.1× 213 1.3× 45 0.3× 85 1.1k
Attila Yazar Türkiye 27 1.2k 1.6× 605 2.3× 1.2k 5.5× 118 0.7× 89 0.6× 55 1.9k
S. K. Dwivedi India 23 935 1.2× 55 0.2× 220 1.0× 106 0.6× 40 0.3× 96 1.4k
Muhammad Amjad Bashir Pakistan 20 522 0.7× 117 0.4× 246 1.1× 198 1.2× 153 1.1× 68 1.1k
J. J. Steiner United States 20 944 1.2× 71 0.3× 208 1.0× 228 1.3× 152 1.1× 87 1.6k

Countries citing papers authored by Koichi Futakuchi

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Futakuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Futakuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Futakuchi. A scholar is included among the top collaborators of Koichi Futakuchi 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 Koichi Futakuchi. Koichi Futakuchi 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.
Futakuchi, Koichi, et al.. (2024). Identification of African rice genotypes with early morning flowering trait to avoid heat stress. Plant Genetic Resources. 22(6). 417–421. 1 indexed citations
2.
Nelson, Katherine, et al.. (2024). Twenty-five rice research priorities for sustainable rice systems by 2050. Global Sustainability. 7. 1 indexed citations
3.
Futakuchi, Koichi, Kalimuthu Senthilkumar, Aminou Arouna, et al.. (2021). History and progress in genetic improvement for enhancing rice yield in sub-Saharan Africa. Field Crops Research. 267. 108159–108159. 32 indexed citations
4.
Devkota, Krishna Prasad, et al.. (2021). Does wet seeding combined with Sub1 varieties increase yield in submergence prone lowlands of West Africa?. Field Crops Research. 276. 108375–108375. 8 indexed citations
5.
Futakuchi, Koichi, et al.. (2017). Comparative study of two rice cultivars (Oryza glaberrima and O. sativa) under different cultural conditions. Journal of Experimental Biology and Agricultural Sciences. 5(1). 45–53. 3 indexed citations
6.
Ndindeng, Sali Atanga, et al.. (2016). Responding to consumers’ preference in African rice markets: experiences of Africa Rice Center. RePEc: Research Papers in Economics. 1 indexed citations
7.
Manneh, Baboucarr, Paul Kiepe, Marie-Noëlle Ndjiondjop, et al.. (2015). Exploiting Partnerships in Research and Development to help African Rice Farmers cope with Climate Variability. 6 indexed citations
8.
Ndindeng, Sali Atanga, et al.. (2015). Upgrading the quality of Africa's rice: a novel artisanal parboiling technology for rice processors in sub‐Saharan Africa. Food Science & Nutrition. 3(6). 557–568. 28 indexed citations
9.
Saito, Kazuki, Ibnou Dieng, Elke Vandamme, Jean‐Martial Johnson, & Koichi Futakuchi. (2014). Does Use of Unbordered Plots Affect Estimation of Upland Rice Yield?. Crop Science. 55(1). 255–261. 2 indexed citations
10.
Saito, Kazuki & Koichi Futakuchi. (2014). Improving estimation of weed suppressive ability of upland rice varieties using substitute weeds. Field Crops Research. 162. 1–5. 16 indexed citations
11.
Fofana, Mamadou, et al.. (2010). Effect of water deficit at grain repining stage on rice grain quality. 2(6). 100–107. 16 indexed citations
12.
Futakuchi, Koichi & M. Sié. (2009). Better exploitation of african rice (Oryza glaberrima Steud.) in varietal development for resource-poor farmers in West and Central Africa.. Agricultural Journal. 4(2). 96–102. 27 indexed citations
13.
Akinbile, Christopher O., A. Y. Sangodoyin, F.E. Nwilene, et al.. (2007). Growth and yield responses of upland rice (NERICA 2) under different water regimes in Ibadan, Nigeria.. 9 indexed citations
14.
Futakuchi, Koichi & K. Z. Ahmed. (2007). Quantification of competitive interference by neighboring plants in a crop population.. 233–236. 1 indexed citations
15.
Sakurai, Takeshi, Jun Furuya, & Koichi Futakuchi. (2006). Rice Miller Cluster in Ghana and Its Effects on Efficiency and Quality Improvement. RePEc: Research Papers in Economics. 1 indexed citations
16.
Futakuchi, Koichi. (2005). Yield performance of upland interspecific Oryza sativa×O. glaberrima progenies under different growing ecologies. Japanese Journal of Crop Science. 74(2). 34–35. 5 indexed citations
17.
Futakuchi, Koichi, Kunio Toriyama, K. L. Heong, & B. Hardy. (2005). Submergence damage in rice and challenges in expanding the crop's adaptability to submerged conditions in West and Central Africa.. 445–448. 4 indexed citations
18.
Futakuchi, Koichi, Monty P. Jones, & Ryuichi Ishii. (2001). Physiological and Morphological Mechanisms of Submergence Resistance in African Rice (Oryza glaberrima Steud.). Nettai Nogyo/Nettai nougyou. 45(1). 8–14. 17 indexed citations
19.
Watanabe, Hajime, et al.. (1999). P-7 Grain quality of glaberrima/sativa progenies in relation to their parents. Japanese Journal of Crop Science. 68(1). 204–205. 3 indexed citations
20.
Futakuchi, Koichi, Alain Audebert, Monty P. Jones, & Michaël Dingkuhn. (1998). Low land adaptability of interspecific progenies from Oryza sativa and O. glaberrima crosses : screening for growth and yield performance of progenies in lowland conditions. Japanese Journal of Crop Science. 1 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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