Takeshi Nishio

9.5k citations
210 papers · 5.8k indexed · h-index 42

Takeshi Nishio

204 papers receiving 5.6k citations

Peers

Takeshi Nishio
Comparison fields: 5 of 137
  • Plant Science 4.1k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Molecular Biology 3.8k
  • Developmental Neuroscience 126
  • Cellular and Molecular Neuroscience 455
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Citations per field
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Citations per year

Countries citing papers authored by Takeshi Nishio

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Nishio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takeshi Nishio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takeshi Nishio Line = papers co-authored together Takeshi Nishio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20203
2
Optimization of dot-blot snp analysis for the detection of drought or salinity stress associated marker in foxtail millet (Setaria italica L.)
20186
3 20174
4 20167
5 201642
6 2014137
7
"Na-no-hana Project" for Recovery from the Tsunami Disaster by Producing Salinity-Tolerant Oilseed Rape Lines: Selection of Salinity-Tolerant Lines of Brassica Crops
20124
8 20091
9 20080
10 200762
11 200732
12 200642
13 20042
14 200338
15 200210
16 199935
17
Identification of mRNAs Differentially Expressed between Embryogenic and Non-Embryogenic Cultivars of Eggplant during Somatic Embryogenesis
19966
18 199638
19
Evaluation of a rice [Oryza sativa] mutant as a material of hypoallergenic rice
19931
20 19701

About Takeshi Nishio

Takeshi Nishio is a scholar working on Plant Science, Developmental Neuroscience and Molecular Biology, having authored 210 papers that have together received 5.8k indexed citations. Recurring topics across this work include Plant Reproductive Biology (69 papers), Plant Molecular Biology Research (48 papers), Plant Virus Research Studies (27 papers), Plant tissue culture and regeneration (26 papers), Photosynthetic Processes and Mechanisms (22 papers), Chromosomal and Genetic Variations (22 papers), Plant Disease Resistance and Genetics (20 papers) and Plant and animal studies (17 papers). The work is most often cited by research in Plant Science (4.1k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations) and Molecular Biology (3.8k citations). Takeshi Nishio has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Kokichi Hinata, Makoto Kusaba, Hiroyasu Kitashiba, Ryo Fujimoto, Yutaka Sato, June B. Nasrallah, Mikhail E. Nasrallah, Koji Sakamoto, Kenta Shirasawa and D. J. Ockendon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

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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