Yu Sawai

459 total citations
11 papers, 314 citations indexed

About

Yu Sawai is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Yu Sawai has authored 11 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 5 papers in Molecular Biology and 1 paper in Pharmacology. Recurrent topics in Yu Sawai's work include Plant Molecular Biology Research (4 papers), Plant tissue culture and regeneration (4 papers) and Plant Disease Management Techniques (3 papers). Yu Sawai is often cited by papers focused on Plant Molecular Biology Research (4 papers), Plant tissue culture and regeneration (4 papers) and Plant Disease Management Techniques (3 papers). Yu Sawai collaborates with scholars based in Japan, Switzerland and Germany. Yu Sawai's co-authors include Michitaka Notaguchi, Atsushi Sakai, Satoshi Tamotsu, Ken‐ichi Kurotani, Yasunori Ichihashi, Ken Shirasu, Takamasa Suzuki, Ryo Tabata, Tetsuya Higashiyama and Yoshikatsu Sato and has published in prestigious journals such as Science, The Plant Journal and Plant and Cell Physiology.

In The Last Decade

Yu Sawai

11 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Sawai Japan 7 265 119 28 23 23 11 314
Shengping Li China 11 286 1.1× 181 1.5× 8 0.3× 15 0.7× 8 0.3× 34 363
Carolina Escobar Rodríguez Austria 7 236 0.9× 82 0.7× 28 1.0× 51 2.2× 13 0.6× 9 281
J.F. Seelye New Zealand 12 265 1.0× 198 1.7× 36 1.3× 40 1.7× 21 0.9× 36 334
Xuelong Wu China 8 332 1.3× 232 1.9× 6 0.2× 9 0.4× 6 0.3× 24 447
Christian J. Silva United States 6 233 0.9× 80 0.7× 41 1.5× 77 3.3× 25 1.1× 8 267
Sylwia Okoń Poland 13 301 1.1× 71 0.6× 18 0.6× 34 1.5× 30 1.3× 55 354
Justine Claverie France 5 274 1.0× 56 0.5× 12 0.4× 45 2.0× 10 0.4× 5 301
Yun Sun China 11 374 1.4× 186 1.6× 10 0.4× 38 1.7× 10 0.4× 13 400
Milagros Florencia Machinandiarena Argentina 8 296 1.1× 85 0.7× 15 0.5× 50 2.2× 61 2.7× 12 328
Xinyi Hao China 9 301 1.1× 230 1.9× 24 0.9× 18 0.8× 18 0.8× 30 372

Countries citing papers authored by Yu Sawai

Since Specialization
Citations

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

Fields of papers citing papers by Yu Sawai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Sawai

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Sawai. A scholar is included among the top collaborators of Yu Sawai 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 Yu Sawai. Yu Sawai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Kawaguchi, Kohei, Michitaka Notaguchi, Yu Sawai, et al.. (2024). Plant hormone profiling of scion and rootstock incision sites and intra- and inter-family graft junctions in Nicotiana benthamiana. Plant Signaling & Behavior. 19(1). 2331358–2331358. 1 indexed citations
2.
Otani, Mayu, Yu Sawai, Yuta Nakashima, et al.. (2023). Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. 14277–14286. 25 indexed citations
3.
Notaguchi, Michitaka, Ken‐ichi Kurotani, Yoshikatsu Sato, et al.. (2020). Cell-cell adhesion in plant grafting is facilitated by β-1,4-glucanases. Science. 369(6504). 698–702. 129 indexed citations
4.
Kurotani, Ken‐ichi, Takanori Wakatake, Yasunori Ichihashi, et al.. (2020). Host-parasite tissue adhesion by a secreted type of β-1,4-glucanase in the parasitic plant Phtheirospermum japonicum. Communications Biology. 3(1). 407–407. 35 indexed citations
5.
Sawai, Yu, et al.. (2020). An in vitro grafting method to quantify mechanical forces of adhering tissues. Plant Biotechnology. 37(4). 451–458. 13 indexed citations
6.
Tsutsui, Hiroki, Naoki Yanagisawa, Yu Sawai, et al.. (2020). Micrografting device for testing systemic signaling in Arabidopsis. The Plant Journal. 103(2). 918–929. 20 indexed citations
7.
Shiratake, Katsuhiro, et al.. (2019). Petunia PLEIOTROPIC DRUG RESISTANCE 1 Is a Strigolactone Short-Distance Transporter with Long-Distance Outcomes. Plant and Cell Physiology. 60(8). 1722–1733. 23 indexed citations
8.
Sakai, Atsushi, et al.. (2015). Cytological Studies on Proliferation, Differentiation, and Death of BY-2 Cultured Tobacco Cells. CYTOLOGIA. 80(2). 133–141. 2 indexed citations
9.
Sawai, Yu, et al.. (2011). 1,8-Cineole Inhibits Both Proliferation and Elongation of BY-2 Cultured Tobacco Cells. Journal of Chemical Ecology. 37(3). 320–328. 61 indexed citations
10.
Horiguchi, Tsuneo, et al.. (2010). Signal to Noise Improvement Ratio for Coded PSP-BOTDA. IEICE Technical Report; IEICE Tech. Rep.. 109(377). 33–38. 3 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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