Hiroyoshi Iwata
- Plant Science top 0.2%
- Genetics top 0.5%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 2%
- Ecology top 5%
- Co-authors
- Jean‐Luc JanninkAaron J. LorenzTakeshi HayashiYoshihiko TsumuraS. NinomiyaRyo OhsawaHiromi Kajiya‐KanegaeAkio Onogi
- Topics
- Genetic Mapping and Diversity in Plants and Animals (92 papers)Genetics and Plant Breeding (61 papers)Genetic and phenotypic traits in livestock (59 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- JapanEgyptUnited States
In The Last Decade
Hiroyoshi Iwata
183 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Plant Science 4.1k
- Genetics 3.1k
- Molecular Biology 925
- Ecology, Evolution, Behavior and Systematics 602
- Ecology 579
Countries citing papers authored by Hiroyoshi Iwata
This map shows the geographic impact of Hiroyoshi Iwata'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 Hiroyoshi Iwata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyoshi Iwata more than expected).
Fields of papers citing papers by Hiroyoshi Iwata
This network shows the impact of papers produced by Hiroyoshi Iwata. 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 Hiroyoshi Iwata. The network helps show where Hiroyoshi Iwata may publish in the future.
Co-authorship network of co-authors of Hiroyoshi Iwata
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyoshi Iwata. A scholar is included among the top collaborators of Hiroyoshi Iwata 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 Hiroyoshi Iwata. Hiroyoshi Iwata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 10 | |
| 13 | A Deep Learning Method to Impute Missing Values and Compress Genome-ide Polymorphism Data in Rice. | 2 |
| 14 | 63 | |
| 15 | Consideration of heat stress in multiple lactation test–day models for dairy production traits | 2 |
| 16 | Effect of heat stress on production traits of Holstein cattle in Japan: parameter estimation using test-day records of first parity and genome wide markers | 2 |
| 17 | 9 | |
| 18 | 41 | |
| 19 | 49 | |
| 20 | 10 |
About Hiroyoshi Iwata
Hiroyoshi Iwata is a scholar working on Genetics, Plant Science and Geometry and Topology, having authored 193 papers that have together received 6.0k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (92 papers), Genetics and Plant Breeding (61 papers) and Genetic and phenotypic traits in livestock (59 papers). The work is most often cited by research in Plant Science (4.1k citations), Genetics (3.1k citations) and Horticulture (61 citations). Hiroyoshi Iwata has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Jean‐Luc Jannink, Aaron J. Lorenz, Takeshi Hayashi, Yoshihiko Tsumura, S. Ninomiya, Ryo Ohsawa, Hiromi Kajiya‐Kanegae, Akio Onogi, Kaworu Ebana and Yasushi Takano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Bioinformatics.
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.