Yayoi Hayashi
- Oncology top 10%
- Molecular Biology
- Rheumatology top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Pharmaceutical Science top 5%
- Co-authors
- Hiroaki YuasaKatsuhisa InoueKinya OhtaJun WatanabeKikuo IwamotoYasuhiro NakaiMasaki OtagiriLynda S. Welage
- Topics
- Drug Transport and Resistance Mechanisms (14 papers)Pharmacological Effects and Toxicity Studies (9 papers)Folate and B Vitamins Research (6 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsJournal of Pharmacology and Experimental TherapeuticsPharmaceutical Research
- Partner nations
- JapanUnited StatesJordan
In The Last Decade
Yayoi Hayashi
39 papers receiving 779 citations
Peers
Comparison fields: 5 of 104
- Oncology 269
- Molecular Biology 197
- Rheumatology 179
- Pediatrics, Perinatology and Child Health 143
- Pharmaceutical Science 117
Countries citing papers authored by Yayoi Hayashi
This map shows the geographic impact of Yayoi 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 Yayoi Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yayoi Hayashi more than expected).
Fields of papers citing papers by Yayoi Hayashi
This network shows the impact of papers produced by Yayoi 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 Yayoi Hayashi. The network helps show where Yayoi Hayashi may publish in the future.
Co-authorship network of co-authors of Yayoi Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Yayoi Hayashi. A scholar is included among the top collaborators of Yayoi 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 Yayoi Hayashi. Yayoi 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 | 3 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 82 | |
| 7 | 33 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 14 | |
| 11 | 7 | |
| 12 | Effect of Maleylated Bovine Serum Albumin on the Disposition of Fractionated Heparin in Rats | 1 |
| 13 | 38 | |
| 14 | 28 | |
| 15 | 50 | |
| 16 | 16 | |
| 17 | 41 | |
| 18 | 40 | |
| 19 | 8 | |
| 20 | 3 |
About Yayoi Hayashi
Yayoi Hayashi is a scholar working on Pharmaceutical Science, Pharmacology and Gastroenterology, having authored 39 papers that have together received 817 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (14 papers), Pharmacological Effects and Toxicity Studies (9 papers) and Folate and B Vitamins Research (6 papers). The work is most often cited by research in Pharmaceutical Science (117 citations), Rheumatology (179 citations) and Oncology (269 citations). Yayoi Hayashi has collaborated with scholars based in Japan, United States and Jordan. Frequent co-authors include Hiroaki Yuasa, Katsuhisa Inoue, Kinya Ohta, Jun Watanabe, Kikuo Iwamoto, Yasuhiro Nakai, Masaki Otagiri, Lynda S. Welage, Gordon L. Amidon and Toyonori Kato. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Pharmaceutical 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.