Yosuke Tamada

2.6k total citations
61 papers, 1.7k citations indexed

About

Yosuke Tamada is a scholar working on Plant Science, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yosuke Tamada has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 25 papers in Molecular Biology and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yosuke Tamada's work include Plant Molecular Biology Research (22 papers), Advanced Fluorescence Microscopy Techniques (16 papers) and Digital Holography and Microscopy (16 papers). Yosuke Tamada is often cited by papers focused on Plant Molecular Biology Research (22 papers), Advanced Fluorescence Microscopy Techniques (16 papers) and Digital Holography and Microscopy (16 papers). Yosuke Tamada collaborates with scholars based in Japan, United States and China. Yosuke Tamada's co-authors include Richard M. Amasino, Jae‐Young Yun, Mitsuyasu Hasebe, Osamu Matoba, Xiangyu Quan, Yasuhiro Awatsuji, Manoj Kumar, Takashi Murata, Lianna M. Johnson and Koji Goto and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yosuke Tamada

56 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yosuke Tamada Japan 23 1.2k 1.0k 194 163 122 61 1.7k
Nina S. Allen United States 24 1.1k 1.0× 1.2k 1.2× 83 0.4× 107 0.7× 17 0.1× 47 2.3k
Anne W. Sylvester United States 23 1.5k 1.3× 1.2k 1.1× 59 0.3× 85 0.5× 12 0.1× 42 1.9k
Pankaj Dhonukshe Netherlands 23 3.3k 2.8× 3.0k 2.9× 57 0.3× 93 0.6× 14 0.1× 30 4.0k
Zhongying Zhao Hong Kong 26 235 0.2× 955 0.9× 8 0.0× 37 0.2× 19 0.2× 86 1.9k
David J. Rawlins United Kingdom 15 512 0.4× 641 0.6× 17 0.1× 67 0.4× 22 0.2× 17 924
Shannon Modla United States 16 528 0.4× 603 0.6× 14 0.1× 41 0.3× 8 0.1× 31 1.2k
Nuno Moreno Portugal 16 560 0.5× 812 0.8× 47 0.2× 90 0.6× 6 0.0× 43 1.3k
Anne‐Lise Routier‐Kierzkowska Canada 20 1.6k 1.3× 1.2k 1.1× 42 0.2× 132 0.8× 3 0.0× 34 1.8k
José G. García‐Cerdán United States 15 225 0.2× 613 0.6× 27 0.1× 47 0.3× 7 0.1× 17 910
Vincent Mirabet France 15 1.3k 1.1× 990 1.0× 8 0.0× 96 0.6× 5 0.0× 18 1.5k

Countries citing papers authored by Yosuke Tamada

Since Specialization
Citations

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

Fields of papers citing papers by Yosuke Tamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yosuke Tamada

This figure shows the co-authorship network connecting the top 25 collaborators of Yosuke Tamada. A scholar is included among the top collaborators of Yosuke Tamada 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 Yosuke Tamada. Yosuke Tamada 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.
Yoshida, Yuka, Yukiko Kabeya, Mitsuyasu Hasebe, et al.. (2024). Infrared laser–induced gene expression in single cells characterized by quantitative imaging in Physcomitrium patens. Communications Biology. 7(1). 1448–1448. 1 indexed citations
2.
Horiuchi, Yuta, Yosuke Tamada, Ken Kosetsu, et al.. (2024). Physcomitrium LATERAL SUPPRESSOR genes promote formative cell divisions to produce germ cell lineages in both male and female gametangia. New Phytologist. 245(5). 2004–2015.
3.
Mano, Hiroaki, Masatsugu Toyota, Kenji Fukushima, et al.. (2020). Calcium dynamics during trap closure visualized in transgenic Venus flytrap. Nature Plants. 6(10). 1219–1224. 78 indexed citations
4.
Kumar, Manoj, Xiangyu Quan, Yasuhiro Awatsuji, Yosuke Tamada, & Osamu Matoba. (2020). Digital Holographic Multimodal Cross-Sectional Fluorescence and Quantitative Phase Imaging System. Scientific Reports. 10(1). 7580–7580. 50 indexed citations
5.
Ishikawa, Masaki, Yohei Higuchi, Shunsuke Ichikawa, et al.. (2019). Physcomitrella STEMIN transcription factor induces stem cell formation with epigenetic reprogramming. Nature Plants. 5(7). 681–690. 32 indexed citations
6.
Kubo, Minoru, Tomoaki Nishiyama, Yosuke Tamada, et al.. (2019). Single-cell transcriptome analysis of Physcomitrella leaf cells during reprogramming using microcapillary manipulation. Nucleic Acids Research. 47(9). 4539–4553. 35 indexed citations
7.
Tamada, Yosuke, Takuya Asami, & Hikaru Miura. (2018). Welding characteristics of Cu and Al plates using planar vibration by a dumbbell-shaped ultrasonic complex vibration source. Japanese Journal of Applied Physics. 57(7S1). 07LE12–07LE12. 14 indexed citations
8.
Li, Chen, Yusuke Sako, Akihiro Imai, et al.. (2017). A Lin28 homologue reprograms differentiated cells to stem cells in the moss Physcomitrella patens. Nature Communications. 8(1). 14242–14242. 37 indexed citations
9.
Sakakibara, Keiko, Yosuke Tamada, Yuji Hiwatashi, et al.. (2013). KNOX2 Genes Regulate the Haploid-to-Diploid Morphological Transition in Land Plants. Science. 339(6123). 1067–1070. 116 indexed citations
10.
Yun, Jae‐Young, et al.. (2012). ARABIDOPSIS TRITHORAX-RELATED3/SET DOMAIN GROUP2 is Required for the Winter-Annual Habit of Arabidopsis thaliana. Plant and Cell Physiology. 53(5). 834–846. 48 indexed citations
11.
Buzas, Diana Mihaela, Yosuke Tamada, & Takayasu Kurata. (2011). FLC: A Hidden Polycomb Response Element Shows Up in Silence. Plant and Cell Physiology. 53(5). 785–793. 20 indexed citations
12.
Finnegan, E. Jean, Donna M. Bond, Diana Mihaela Buzas, et al.. (2010). Polycomb proteins regulate the quantitative induction of VERNALIZATION INSENSITIVE 3 in response to low temperatures. The Plant Journal. 65(3). 382–391. 31 indexed citations
13.
Ko, Jonghyun, Irina Mitina, Yosuke Tamada, et al.. (2010). Growth habit determination by the balance of histone methylation activities in Arabidopsis. The EMBO Journal. 29(18). 3208–3215. 78 indexed citations
14.
15.
Schmitz, Robert J., Yosuke Tamada, Mark R. Doyle, Xiaoyu Zhang, & Richard M. Amasino. (2008). Histone H2B Deubiquitination Is Required for Transcriptional Activation of FLOWERING LOCUS C and for Proper Control of Flowering in Arabidopsis   . PLANT PHYSIOLOGY. 149(2). 1196–1204. 92 indexed citations
16.
Tamada, Yosuke, et al.. (2006). Temporary Expression of the TAF10 Gene and its Requirement for Normal Development of Arabidopsis thaliana. Plant and Cell Physiology. 48(1). 134–146. 17 indexed citations
17.
Sung, Sibum, Yuehui He, Yosuke Tamada, et al.. (2006). Epigenetic maintenance of the vernalized state in Arabidopsis thaliana requires LIKE HETEROCHROMATIN PROTEIN 1. Nature Genetics. 38(6). 706–710. 258 indexed citations
18.
19.
Suzuki, Nobutaka, Daisuke Aoki, Atsushi Suzuki, et al.. (2005). 8-1A, a Human Monoclonal Antibody that Reacts with Intact Human Chorionic Gonadotropin. Placenta. 27(2-3). 333–339. 3 indexed citations
20.

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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