Hidetoshi Sakayama

1.3k total citations
30 papers, 492 citations indexed

About

Hidetoshi Sakayama is a scholar working on Molecular Biology, Environmental Chemistry and Ecology. According to data from OpenAlex, Hidetoshi Sakayama has authored 30 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Environmental Chemistry and 13 papers in Ecology. Recurrent topics in Hidetoshi Sakayama's work include Aquatic Ecosystems and Phytoplankton Dynamics (14 papers), Protist diversity and phylogeny (9 papers) and Microbial Community Ecology and Physiology (8 papers). Hidetoshi Sakayama is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (14 papers), Protist diversity and phylogeny (9 papers) and Microbial Community Ecology and Physiology (8 papers). Hidetoshi Sakayama collaborates with scholars based in Japan, United States and Austria. Hidetoshi Sakayama's co-authors include Hisayoshi Nozaki, Yoshiaki Hara, Tomoaki Nishiyama, Makoto M. Watanabe, Fumie Kasai, Holger Breuninger, Liam Dolan, Anna Thamm, Syou Kato and Shogo Arai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Hidetoshi Sakayama

28 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hidetoshi Sakayama Japan 14 233 176 168 138 126 30 492
Kazuo Okuda Japan 15 222 1.0× 51 0.3× 114 0.7× 98 0.7× 159 1.3× 54 658
Raghvendra Singh India 12 213 0.9× 65 0.4× 238 1.4× 116 0.8× 107 0.8× 102 658
Lenka Caisová Germany 8 133 0.6× 87 0.5× 49 0.3× 81 0.6× 160 1.3× 16 354
Jong Im Kim South Korea 17 545 2.3× 60 0.3× 50 0.3× 71 0.5× 469 3.7× 39 703
Hans J. Sluiman Netherlands 17 304 1.3× 85 0.5× 103 0.6× 290 2.1× 277 2.2× 30 854
John W. La Claire United States 16 287 1.2× 113 0.6× 116 0.7× 151 1.1× 150 1.2× 35 709
Lydia Gustavs Germany 11 138 0.6× 116 0.7× 61 0.4× 264 1.9× 155 1.2× 15 571
Phillip A. Davis United States 11 331 1.4× 179 1.0× 444 2.6× 96 0.7× 154 1.2× 18 737
Karen P. Fawley United States 13 382 1.6× 156 0.9× 34 0.2× 69 0.5× 366 2.9× 23 783
Donald R. Tindall United States 12 157 0.7× 267 1.5× 49 0.3× 75 0.5× 86 0.7× 22 433

Countries citing papers authored by Hidetoshi Sakayama

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Sakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Sakayama

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetoshi Sakayama. A scholar is included among the top collaborators of Hidetoshi Sakayama 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 Hidetoshi Sakayama. Hidetoshi Sakayama 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.
Karim, Md. Masudul, Mohammed Arif Sadik Polash, Ken Hirota, et al.. (2025). ETHYLENE INSENSITIVE2-like protein mediates submergence and drought responses in Physcomitrium patens. PLANT PHYSIOLOGY. 198(3). 2 indexed citations
2.
Sakayama, Hidetoshi, et al.. (2024). Taxonomy, new distribution, and DNA barcoding of the rare alga Chara altaica (Charales, Charophyceae) in Japan. Journal of Asia-Pacific Biodiversity. 17(4). 712–721.
3.
Haraguchi, Takeshi, K. Suzuki, M. Tominaga, et al.. (2022). Discovery of ultrafast myosin, its amino acid sequence, and structural features. Proceedings of the National Academy of Sciences. 119(8). 13 indexed citations
4.
Takano, Tomoyuki, et al.. (2020). Induction of sexual reproduction reveals the presence of heterothallic Spirogyra strains (Zygnematophyceae, Streptophyta). Phycological Research. 68(4). 263–268. 1 indexed citations
5.
Breuninger, Holger, et al.. (2016). Diversification of a Transcription Factor Family Led to the Evolution of Antagonistically Acting Genetic Regulators of Root Hair Growth. Current Biology. 26(12). 1622–1628. 58 indexed citations
6.
Kasahara, Masahiro, Noriyuki Suetsugu, Chiaki Yamamoto, et al.. (2016). An adenylyl cyclase with a phosphodiesterase domain in basal plants with a motile sperm system. Scientific Reports. 6(1). 39232–39232. 41 indexed citations
7.
Iida, S., et al.. (2016). Loss of heterophylly in aquatic plants: not ABA-mediated stress but exogenous ABA treatment induces stomatal leaves in Potamogeton perfoliatus. Journal of Plant Research. 129(5). 853–862. 26 indexed citations
8.
Suzuki, Masahiro, Takahiro Segawa, Hiroshi Mori, et al.. (2016). Next-Generation Sequencing of an 88-Year-Old Specimen of the Poorly Known Species Liagora japonica (Nemaliales, Rhodophyta) Supports the Recognition of Otohimella gen. nov.. PLoS ONE. 11(7). e0158944–e0158944. 11 indexed citations
9.
Sakayama, Hidetoshi, Makoto M. Watanabe, Syou Kato, et al.. (2015). Taxonomy, morphology, and genetic variation of Nitella flexilis var. bifurcata (Charales, Characeae) from Japan. Phycological Research. 63(3). 159–166. 3 indexed citations
10.
Sakayama, Hidetoshi, et al.. (2014). Characterization of sexual reproductive processes in Chara braunii (Charales, Charophyceae). Phycological Research. 62(3). 214–221. 12 indexed citations
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Nishiyama, Tomoaki, Hidetoshi Sakayama, Peter Hammerl, et al.. (2013). Molecular and biochemical analysis of the first ARA6 homologue, a RAB5 GTPase, from green algae. Journal of Experimental Botany. 64(18). 5553–5568. 26 indexed citations
14.
Yang, Yi, Shinichiro Maruyama, Hiroyuki Sekimoto, Hidetoshi Sakayama, & Hisayoshi Nozaki. (2011). An extended phylogenetic analysis reveals ancient origin of "non-green" phosphoribulokinase genes from two lineages of "green" secondary photosynthetic eukaryotes: Euglenophyta and Chlorarachniophyta. BMC Research Notes. 4(1). 330–330. 10 indexed citations
15.
Kato, Syou, Kazuharu Misawa, Fumio Takahashi, et al.. (2011). AQUATIC PLANT SPECIATION AFFECTED BY DIVERSIFYING SELECTION OF ORGANELLE DNA REGIONS1. Journal of Phycology. 47(5). 999–1008. 8 indexed citations
16.
Kato, Syou, Hidetoshi Sakayama, Satomi Sano, et al.. (2010). Morphology and Molecular Phylogeny of Chara altaica (Charales, Charophyceae), a Monoecious Species of the Section Desvauxia. CYTOLOGIA. 75(2). 211–220. 11 indexed citations
17.
Sakayama, Hidetoshi, Fumie Kasai, Hisayoshi Nozaki, et al.. (2009). TAXONOMIC REEXAMINATION OF CHARA GLOBULARIS (CHARALES, CHAROPHYCEAE) FROM JAPAN BASED ON OOSPORE MORPHOLOGY AND rbcL GENE SEQUENCES, AND THE DESCRIPTION OF C. LEPTOSPORA SP. NOV.1. Journal of Phycology. 45(4). 917–927. 25 indexed citations
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Sakayama, Hidetoshi, Yoshiaki Hara, & Hisayoshi Nozaki. (2004). Taxonomic re-examination of six species of Nitella (Charales, Charophyceae) from Asia, and phylogenetic relationships within the genus based on rbcL and atpB gene sequences. Phycologia. 43(1). 91–104. 32 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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