Naoki Takebayashi
- Plant Science top 2%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Molecular Biology top 10%
- Genetics top 2%
- Nature and Landscape Conservation top 5%
- Co-authors
- Loren H. RiesebergDiana E. WolfTroy E. WoodItay MayrosePhilip B. GreenspoonMichael S. BarkerPeter L. MorrellMichael J. Hickerson
- Topics
- Plant and animal studies (11 papers)Genetic diversity and population structure (11 papers)Plant Reproductive Biology (7 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Naoki Takebayashi
25 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Plant Science 1.3k
- Ecology, Evolution, Behavior and Systematics 1.1k
- Molecular Biology 1.0k
- Genetics 999
- Nature and Landscape Conservation 453
Countries citing papers authored by Naoki Takebayashi
This map shows the geographic impact of Naoki Takebayashi'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 Naoki Takebayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Takebayashi more than expected).
Fields of papers citing papers by Naoki Takebayashi
This network shows the impact of papers produced by Naoki Takebayashi. 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 Naoki Takebayashi. The network helps show where Naoki Takebayashi may publish in the future.
Co-authorship network of co-authors of Naoki Takebayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Takebayashi. A scholar is included among the top collaborators of Naoki Takebayashi 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 Naoki Takebayashi. Naoki Takebayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 21 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | 315 | |
| 11 | 20 | |
| 12 | 61 | |
| 13 | The frequency of polyploid speciation in vascular plantsbreakdown → | 1025 |
| 14 | 110 | |
| 15 | 64 | |
| 16 | 91 | |
| 17 | 5 | |
| 18 | 21 | |
| 19 | 66 | |
| 20 | 6 |
About Naoki Takebayashi
Naoki Takebayashi is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include Plant and animal studies (11 papers), Genetic diversity and population structure (11 papers) and Plant Reproductive Biology (7 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.1k citations), Nature and Landscape Conservation (453 citations) and Genetics (999 citations). Naoki Takebayashi has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Loren H. Rieseberg, Diana E. Wolf, Troy E. Wood, Itay Mayrose, Philip B. Greenspoon, Michael S. Barker, Peter L. Morrell, Michael J. Hickerson, Yan Qi and Wen Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The American Naturalist.
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.