Yukiko Hayashi
- Molecular Biology top 0.5%
- Epidemiology top 0.5%
- Surgery top 2%
- Cell Biology top 0.5%
- Rheumatology top 0.5%
- Co-authors
- Ichizo NishinoIkuya NonakaS. NoguchiMorio KoikeKiichi ArahataNobuaki FunataMegumu OgawaIsao Yamazaki
- Topics
- Muscle Physiology and Disorders (122 papers)Genetic Neurodegenerative Diseases (45 papers)Cardiomyopathy and Myosin Studies (45 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetJournal of the American Chemical Society
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Yukiko Hayashi
333 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 6.5k
- Epidemiology 2.8k
- Surgery 1.7k
- Cell Biology 1.7k
- Rheumatology 1.5k
Countries citing papers authored by Yukiko Hayashi
This map shows the geographic impact of Yukiko 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 Yukiko Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiko Hayashi more than expected).
Fields of papers citing papers by Yukiko Hayashi
This network shows the impact of papers produced by Yukiko 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 Yukiko Hayashi. The network helps show where Yukiko Hayashi may publish in the future.
Co-authorship network of co-authors of Yukiko Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Yukiko Hayashi. A scholar is included among the top collaborators of Yukiko 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 Yukiko Hayashi. Yukiko 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 | 2 | |
| 3 | 2 | |
| 4 | 88 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 60 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | HER-2/neu cytoplasmic staining is correlated with neuroendocrine differentiation in breast carcinoma. | 12 |
| 13 | 1 | |
| 14 | 31 | |
| 15 | 4 | |
| 16 | 34 | |
| 17 | 23 | |
| 18 | 86 | |
| 19 | 165 | |
| 20 | Analysis of acid-base properties of peroxidase and myoglobin. | 131 |
About Yukiko Hayashi
Yukiko Hayashi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology, having authored 339 papers that have together received 12.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (122 papers), Genetic Neurodegenerative Diseases (45 papers) and Cardiomyopathy and Myosin Studies (45 papers). The work is most often cited by research in Process Chemistry and Technology (326 citations), Cell Biology (1.7k citations) and Rheumatology (1.5k citations). Yukiko Hayashi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Ichizo Nishino, Ikuya Nonaka, S. Noguchi, Morio Koike, Kiichi Arahata, Nobuaki Funata, Megumu Ogawa, Isao Yamazaki, Terumi Kamisawa and Kouji Tsuruta. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of the American Chemical Society.
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.