Yasuo Ukai

1.3k total citations
62 papers, 1.0k citations indexed

About

Yasuo Ukai is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Yasuo Ukai has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Plant Science, 24 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Yasuo Ukai's work include Genetic Mapping and Diversity in Plants and Animals (20 papers), Plant Genetic and Mutation Studies (15 papers) and Genetics and Plant Breeding (13 papers). Yasuo Ukai is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (20 papers), Plant Genetic and Mutation Studies (15 papers) and Genetics and Plant Breeding (13 papers). Yasuo Ukai collaborates with scholars based in Japan, Egypt and Nepal. Yasuo Ukai's co-authors include Yasushi Takano, Hiroyoshi Iwata, Satoshi Niikura, Seiji Matsuura, S. Ninomiya, Ryo Ohsawa, Hirohisa Nesumi, Akira Saito, Masahiro Yano and Hiroshi Ohmori and has published in prestigious journals such as Genetics, Theoretical and Applied Genetics and Heredity.

In The Last Decade

Yasuo Ukai

54 papers receiving 885 citations

Peers

Yasuo Ukai
Comparison fields: 5 of 93
  • Plant Science 789
  • Genetics 380
  • Molecular Biology 170
  • Ecology, Evolution, Behavior and Systematics 106
  • Geometry and Topology 102
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Citations per field, relative to Yasuo Ukai
Yasuo Ukai · 1×
Citations per year, relative to Yasuo Ukai
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Countries citing papers authored by Yasuo Ukai

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Ukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Ukai

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Ukai. A scholar is included among the top collaborators of Yasuo Ukai 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 Yasuo Ukai. Yasuo Ukai 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 0
2 29
3 38
4 8
5 54
6 2
7
Construction of a barley RFLP linkage map using an F2 population derived from a cross between Ko A and Mokusekko 3.
3
8 24
9 1
10 1
11 12
12 8
13 1
14 22
15
Application of a new method for selection of mutants in a cross-fertilizing species to recurrently mutagen-treated populations of Italian ryegrass.
3
16 1
17 3
18 0
19
Comparison of genetic effects of gamma-ray irradiation and treatments of chemical mutagens in a six-rowed barley
4
20 1

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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