Keiko Hayashi
- Plant Science top 2%
- Molecular Biology top 10%
- Genetics top 5%
- Surgery top 10%
- Cell Biology top 10%
- Co-authors
- Ikuo AshikawaHitoshi YoshidaNoriaki HashimotoMaria DufauKevin CattGiovanni Battista La SalaYuriko Hayano‐SaitoPaul A. Manley
- Topics
- Plant-Microbe Interactions and Immunity (9 papers)Plant Disease Resistance and Genetics (9 papers)Plant Pathogens and Fungal Diseases (5 papers)
- Cited by
- Plant ScienceGeneticsOphthalmology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanEgyptUnited States
In The Last Decade
Keiko Hayashi
75 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 122
- Plant Science 985
- Molecular Biology 735
- Genetics 425
- Surgery 285
- Cell Biology 177
Countries citing papers authored by Keiko Hayashi
This map shows the geographic impact of Keiko Hayashi'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 Keiko Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Hayashi more than expected).
Fields of papers citing papers by Keiko Hayashi
This network shows the impact of papers produced by Keiko Hayashi. 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 Keiko Hayashi. The network helps show where Keiko Hayashi may publish in the future.
Co-authorship network of co-authors of Keiko Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Hayashi. A scholar is included among the top collaborators of Keiko Hayashi 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 Keiko Hayashi. Keiko Hayashi 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 | 11 | |
| 3 | 8 | |
| 4 | 76 | |
| 5 | 800-m and 1500-m run times relate to anaerobic performance in competitive runners | 1 |
| 6 | 123 | |
| 7 | 17 | |
| 8 | 24 | |
| 9 | 183 | |
| 10 | 33 | |
| 11 | 259 | |
| 12 | 7 | |
| 13 | 116 | |
| 14 | 17 | |
| 15 | Intraluteal release in vivo of angiotensin II, prostaglandins, and progesterone during the early luteal phase in cows: Effects of angiotensin II, endothelin-1, and atrial natriuretic peptide. | 1 |
| 16 | 84 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | Some Aspects of Cell Age Distribution Function | 1 |
About Keiko Hayashi
Keiko Hayashi is a scholar working on Plant Science, Ophthalmology and Biological Psychiatry, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (9 papers), Plant Disease Resistance and Genetics (9 papers) and Plant Pathogens and Fungal Diseases (5 papers). The work is most often cited by research in Plant Science (985 citations), Genetics (425 citations) and Ophthalmology (115 citations). Keiko Hayashi has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Ikuo Ashikawa, Hitoshi Yoshida, Hitoshi Yoshida, Noriaki Hashimoto, Maria Dufau, Kevin Catt, Giovanni Battista La Sala, Yuriko Hayano‐Saito, Paul A. Manley and Akira Kakita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.