Emiko Hayashi
- Molecular Biology
- Cell Biology top 2%
- Surgery top 10%
- Epidemiology
- Genetics
- Co-authors
- Simin LuChristine M. OslowskiShinsuke IshigakiFumihiko UranoLihua Julie ZhuTakashi HaraMariko HaraBryan O’Sullivan-Murphy
- Topics
- Tissue Engineering and Regenerative Medicine (3 papers)Cancer therapeutics and mechanisms (3 papers)Synthesis and Biological Evaluation (2 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Emiko Hayashi
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 538
- Cell Biology 516
- Surgery 345
- Epidemiology 244
- Genetics 177
Countries citing papers authored by Emiko Hayashi
This map shows the geographic impact of Emiko 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 Emiko Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emiko Hayashi more than expected).
Fields of papers citing papers by Emiko Hayashi
This network shows the impact of papers produced by Emiko 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 Emiko Hayashi. The network helps show where Emiko Hayashi may publish in the future.
Co-authorship network of co-authors of Emiko Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Emiko Hayashi. A scholar is included among the top collaborators of Emiko 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 Emiko Hayashi. Emiko 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 | 22 | |
| 2 | 21 | |
| 3 | 22 | |
| 4 | 3 | |
| 5 | [Verification and Validation on Single Nucleotide Polymorphism Analysis of Alcohol Metabolism-Related Genes ADH1B and ALDH2, Using Dried-Saliva Samples]. | 3 |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 15 | |
| 10 | 7 | |
| 11 | Thioredoxin-Interacting Protein Mediates ER Stress-Induced β Cell Death through Initiation of the Inflammasomebreakdown → | 576 |
| 12 | 316 | |
| 13 | 11 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | The Nonassimilatory Nature of Postnasal Voicing in Japanese | 4 |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 0 | |
| 20 | 6 |
About Emiko Hayashi
Emiko Hayashi is a scholar working on Toxicology, Developmental Neuroscience and Genetics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (3 papers), Cancer therapeutics and mechanisms (3 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Cell Biology (516 citations), Physiology (59 citations) and Molecular Biology (538 citations). Emiko Hayashi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Simin Lu, Christine M. Oslowski, Shinsuke Ishigaki, Fumihiko Urano, Lihua Julie Zhu, Takashi Hara, Mariko Hara, Bryan O’Sullivan-Murphy, Rita Bortell and Kohsuke Kanekura. Their work appears in journals such as Journal of Clinical Investigation, Cell Metabolism and Clinical Cancer Research.
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.