Hideaki Taira

948 total citations
49 papers, 759 citations indexed

About

Hideaki Taira is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hideaki Taira has authored 49 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 23 papers in Molecular Biology and 18 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hideaki Taira's work include Plant Reproductive Biology (19 papers), Horticultural and Viticultural Research (12 papers) and Plant and animal studies (10 papers). Hideaki Taira is often cited by papers focused on Plant Reproductive Biology (19 papers), Horticultural and Viticultural Research (12 papers) and Plant and animal studies (10 papers). Hideaki Taira collaborates with scholars based in Japan, United Kingdom and United States. Hideaki Taira's co-authors include Yoshihiko Tsumura, Yoshinari Moriguchi, Naoki Tani, Hidetoyo Teranishi, Yoshihiko Furuta, Tokuko Ujino‐Ihara, Kenji Ohba, Yoshihiro Hosoo, Hiroyoshi Iwata and Asako Matsumoto and has published in prestigious journals such as Forest Ecology and Management, Theoretical and Applied Genetics and BMC Genomics.

In The Last Decade

Hideaki Taira

48 papers receiving 692 citations

Peers

Hideaki Taira
Comparison fields: 5 of 53
  • Plant Science 391
  • Molecular Biology 320
  • Ecology, Evolution, Behavior and Systematics 303
  • Genetics 243
  • Nature and Landscape Conservation 110
Replace Yuzuru Mukai with:
Yuzuru Mukai Japan
Tokuko Ujino‐Ihara Japan
Yoshinari Moriguchi Japan
Outi Muona Finland
Anita S. Klein United States
Y. A. El-Kassaby Canada
Emmet J. Judziewicz United States
M. Sari‐Gorla Italy
Barbara Fussi Germany
Santiago Espinel Spain
Yuzuru Mukai Japan View profile →
Citations per field, relative to Hideaki Taira
Hideaki Taira · 1×
Citations per year, relative to Hideaki Taira
Hideaki Taira · 1×

Countries citing papers authored by Hideaki Taira

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Taira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Taira

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Taira. A scholar is included among the top collaborators of Hideaki Taira 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 Hideaki Taira. Hideaki Taira 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
# Work Indexed citations
1 11
2 21
3 3
4 14
5 0
6 5
7 23
8 15
9 5
10 2
11 2
12 10
13 4
14 76
15 53
16 62
17 2
18
[Relationships between the pollen productions in sugi (Cryptomeria japonica D. Don) forests and the patterns of atmospheric scattering pollens in Toyama Prefecture--the example of Toyama Prefecture in 1990].
5
19
The resistance of sugi (Cryptomeria japonica) to basal bending.
2
20 4

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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