Kai Ishida

451 total citations
8 papers, 366 citations indexed

About

Kai Ishida is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Kai Ishida has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Kai Ishida's work include Plant Molecular Biology Research (7 papers), Light effects on plants (5 papers) and Plant Reproductive Biology (4 papers). Kai Ishida is often cited by papers focused on Plant Molecular Biology Research (7 papers), Light effects on plants (5 papers) and Plant Reproductive Biology (4 papers). Kai Ishida collaborates with scholars based in Japan and United Kingdom. Kai Ishida's co-authors include Takafumi Yamashino, Takeshi Mizuno, Akihiro Yokoyama, Hanayo Nakanishi, Takeshi Mizuno, Hanayo Ueoka‐Nakanishi, Satoshi Tabata, Norihito Nakamichi and Shusei Sato and has published in prestigious journals such as Plant and Cell Physiology and Bioscience Biotechnology and Biochemistry.

In The Last Decade

Kai Ishida

8 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Ishida Japan 7 350 245 9 8 7 8 366
Corinne E. Jager Australia 6 297 0.8× 142 0.6× 13 1.4× 10 1.3× 9 1.3× 6 307
Shabari Sarkar Das India 8 275 0.8× 152 0.6× 4 0.4× 6 0.8× 5 0.7× 9 302
Laura Grégoire France 4 263 0.8× 208 0.8× 9 1.0× 13 1.6× 9 1.3× 5 308
Zhenwei Yan China 8 330 0.9× 188 0.8× 7 0.8× 11 1.4× 10 1.4× 15 354
Patrick Dickinson United Kingdom 7 220 0.6× 203 0.8× 5 0.6× 12 1.5× 7 1.0× 9 272
Jana Trenner Germany 8 284 0.8× 191 0.8× 9 1.0× 13 1.6× 8 1.1× 9 314
Guenter Theissen Germany 2 268 0.8× 258 1.1× 6 0.7× 10 1.3× 34 4.9× 2 304
Chloé Béziat Austria 7 476 1.4× 366 1.5× 8 0.9× 6 0.8× 10 1.4× 9 508
Kathrin Denk Germany 4 321 0.9× 216 0.9× 5 0.6× 8 1.0× 7 1.0× 4 340
Chunhong Cheng China 8 277 0.8× 170 0.7× 12 1.3× 4 0.5× 5 0.7× 10 326

Countries citing papers authored by Kai Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Ishida

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

All Works

8 of 8 papers shown
1.
Mizuno, Takeshi, et al.. (2015). Insight into the mechanism of end-of-day far-red light (EODFR)-induced shade avoidance responses in Arabidopsis thaliana. Bioscience Biotechnology and Biochemistry. 79(12). 1987–1994. 37 indexed citations
2.
Yamashino, Takafumi, et al.. (2013). Clock-Controlled and FLOWERING LOCUS T (FT)-Dependent Photoperiodic Pathway inLotus japonicusII: Characterization of a MicroRNA Implicated in the Control of Flowering Time. Bioscience Biotechnology and Biochemistry. 77(6). 1179–1185. 8 indexed citations
3.
Ueoka‐Nakanishi, Hanayo, et al.. (2012). Molecular Mechanisms of Circadian Rhythm inLotus japonicusandArabidopsis thalianaAre Sufficiently Compatible to Regulate Heterologous Core Clock Genes Robustly. Bioscience Biotechnology and Biochemistry. 76(12). 2332–2334. 4 indexed citations
4.
Ueoka‐Nakanishi, Hanayo, et al.. (2011). Characterization of Shade Avoidance Responses inLotus japonicus. Bioscience Biotechnology and Biochemistry. 75(11). 2148–2154. 9 indexed citations
5.
Ishida, Kai, Takafumi Yamashino, Hanayo Nakanishi, & Takeshi Mizuno. (2010). Classification of the Genes Involved in the Two-Component System of the MossPhyscomitrella patens. Bioscience Biotechnology and Biochemistry. 74(12). 2542–2545. 38 indexed citations
6.
Ishida, Kai, Takafumi Yamashino, Hanayo Nakanishi, et al.. (2010). Genomewide Characterization of the Light-Responsive and Clock-Controlled Output Pathways in Lotus japonicus with Special Emphasis of its Uniqueness. Plant and Cell Physiology. 51(10). 1800–1814. 21 indexed citations
7.
Ishida, Kai, Takafumi Yamashino, & Takeshi Mizuno. (2008). Expression of the Cytokinin-Induced Type-A Response Regulator GeneARR9Is Regulated by the Circadian Clock inArabidopsis thaliana. Bioscience Biotechnology and Biochemistry. 72(11). 3025–3029. 29 indexed citations
8.
Ishida, Kai, Takafumi Yamashino, Akihiro Yokoyama, & Takeshi Mizuno. (2007). Three Type-B Response Regulators, ARR1, ARR10 and ARR12, Play Essential but Redundant Roles in Cytokinin Signal Transduction Throughout the Life Cycle of Arabidopsis thaliana. Plant and Cell Physiology. 49(1). 47–57. 220 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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