Hideki Takanashi

1.6k total citations
38 papers, 998 citations indexed

About

Hideki Takanashi is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Hideki Takanashi has authored 38 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 15 papers in Genetics and 11 papers in Molecular Biology. Recurrent topics in Hideki Takanashi's work include Genetic Mapping and Diversity in Plants and Animals (15 papers), Photosynthetic Processes and Mechanisms (8 papers) and Remote Sensing in Agriculture (7 papers). Hideki Takanashi is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (15 papers), Photosynthetic Processes and Mechanisms (8 papers) and Remote Sensing in Agriculture (7 papers). Hideki Takanashi collaborates with scholars based in Japan, France and Vietnam. Hideki Takanashi's co-authors include Nobuhiro Tsutsumi, Shin‐ichi Arimura, Hiroyoshi Iwata, Masaru Fujimoto, Hiromi Kajiya‐Kanegae, Kentaro Yano, Tsuyoshi Tokunaga, Masaaki Kobayashi, Toru Fujiwara and Yoshikazu Hayashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Hideki Takanashi

36 papers receiving 981 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hideki Takanashi 665 400 180 161 94 38 998
Ludger Leinemann 229 0.3× 214 0.5× 203 1.1× 102 0.6× 24 0.3× 43 642
Jeremy Brawner 297 0.4× 150 0.4× 113 0.6× 145 0.9× 19 0.2× 54 727
Fengxia Zhang 707 1.1× 334 0.8× 89 0.5× 63 0.4× 20 0.2× 34 1.0k
Sandra K. Truong 695 1.0× 272 0.7× 441 2.5× 86 0.5× 37 0.4× 18 1.1k
Long‐Xi Yu 1.1k 1.7× 209 0.5× 410 2.3× 56 0.3× 30 0.3× 48 1.3k
Sébastien Caron 428 0.6× 517 1.3× 131 0.7× 63 0.4× 9 0.1× 25 778
Orzenil B. Silva‐Junior 808 1.2× 408 1.0× 558 3.1× 96 0.6× 10 0.1× 39 1.4k
Elizabete Keiko Takahashi 347 0.5× 136 0.3× 285 1.6× 49 0.3× 16 0.2× 24 616
Zahida H. Pervaiz 628 0.9× 124 0.3× 133 0.7× 104 0.6× 9 0.1× 19 806
Mitchell M. Sewell 603 0.9× 412 1.0× 640 3.6× 104 0.6× 17 0.2× 23 1.2k

Countries citing papers authored by Hideki Takanashi

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Takanashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Takanashi

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Takanashi. A scholar is included among the top collaborators of Hideki Takanashi 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 Hideki Takanashi. Hideki Takanashi 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.
Takahashi, Kazuya, et al.. (2026). Single-organelle DNA-sequencing of chloroplasts and mitochondria in Arabidopsis thaliana. BMC Plant Biology. 26(1). 335–335.
2.
3.
Barras, C., Yoshihiro Ohmori, Yuji Yamasaki, et al.. (2024). High-Throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models. Plant Phenomics. 6. 244–244. 7 indexed citations
4.
Ohmori, Yoshihiro, Yuji Yamasaki, Hirokazu Takahashi, et al.. (2024). Reaction norm for genomic prediction of plant growth: modeling drought stress response in soybean. Theoretical and Applied Genetics. 137(4). 77–77. 4 indexed citations
5.
Ohmori, Yoshihiro, Yuji Yamasaki, Hirokazu Takahashi, et al.. (2023). Random regression for modeling soybean plant response to irrigation changes using time-series multispectral data. Frontiers in Plant Science. 14. 1201806–1201806. 5 indexed citations
6.
Ueda, Yoshiaki, et al.. (2023). Novel QTL for Lateral Root Density and Length Improve Phosphorus Uptake in Rice (Oryza sativa L.). Rice. 16(1). 37–37. 7 indexed citations
7.
Takanashi, Hideki. (2023). Genetic control of morphological traits useful for improving sorghum. Breeding Science. 73(1). 57–69. 16 indexed citations
8.
Takanashi, Hideki, Hiromi Kajiya‐Kanegae, Asuka Nishimura, et al.. (2022). DOMINANT AWN INHIBITOR Encodes the ALOG Protein Originating from Gene Duplication and Inhibits AWN Elongation by Suppressing Cell Proliferation and Elongation in Sorghum. Plant and Cell Physiology. 63(7). 901–918. 17 indexed citations
9.
Katsuma, Susumu, Kohei Nishino, Hidetaka Kosako, et al.. (2022). A Wolbachia factor for male killing in lepidopteran insects. Nature Communications. 13(1). 6764–6764. 43 indexed citations
10.
Kajiya‐Kanegae, Hiromi, Yoshihiro Ohmori, Yuji Yamasaki, et al.. (2022). Time‐series multispectral imaging in soybean for improving biomass and genomic prediction accuracy. The Plant Genome. 15(4). e20244–e20244. 10 indexed citations
11.
Suzuki, Kenta, Shungo Kobori, Takumi Sato, et al.. (2022). High throughput method of 16S rRNA gene sequencing library preparation for plant root microbial community profiling. Scientific Reports. 12(1). 19289–19289. 7 indexed citations
12.
Okuno, Miki, Hiroshi Yamamoto, Yoshiko Tamura, et al.. (2021). Targeted base editing in the plastid genome of Arabidopsis thaliana. Nature Plants. 7(7). 906–913. 77 indexed citations
13.
Takanashi, Hideki, et al.. (2021). Genetic dissection of QTLs associated with spikelet-related traits and grain size in sorghum. Scientific Reports. 11(1). 9398–9398. 10 indexed citations
14.
Takami, Tsuneaki, Hideki Takanashi, Yoji Kawano, et al.. (2021). NB-LRR-encoding genes conferring susceptibility to organophosphate pesticides in sorghum. Scientific Reports. 11(1). 19828–19828. 6 indexed citations
15.
Kajiya‐Kanegae, Hiromi, Koji Noshita, Hideki Takanashi, et al.. (2019). Comparison of shape quantification methods for genomic prediction, and genome-wide association study of sorghum seed morphology. PLoS ONE. 14(11). e0224695–e0224695. 19 indexed citations
16.
Guo, Wei, Keigo Arai, Hideki Takanashi, et al.. (2017). High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling. Frontiers in Plant Science. 8. 421–421. 202 indexed citations
17.
Kobayashi, Masaaki, Hajime Ohyanagi, Hideki Takanashi, et al.. (2017). Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data. DNA Research. 24(4). 397–405. 15 indexed citations
18.
Bashir, Khurram, Yasuhiro Ishimaru, Hugo Shimo, et al.. (2011). The rice mitochondrial iron transporter is essential for plant growth. Nature Communications. 2(1). 322–322. 133 indexed citations
19.
Fujimoto, Masaru, Shin‐ichi Arimura, Takashi Ueda, et al.. (2010). Arabidopsis dynamin-related proteins DRP2B and DRP1A participate together in clathrin-coated vesicle formation during endocytosis. Proceedings of the National Academy of Sciences. 107(13). 6094–6099. 111 indexed citations
20.
Takanashi, Hideki, et al.. (2009). Studies of mitochondrial morphology and DNA amount in the rice egg cell. Current Genetics. 56(1). 33–41. 24 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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