Toshiaki Hayashi
- Molecular Biology top 2%
- Hematology top 0.5%
- Oncology top 2%
- Immunology top 5%
- Neurology top 2%
- Co-authors
- Teru HideshimaKenneth C. AndersonDharminder ChauhanPaul G. RichardsonNikhil C. MunshiMasaharu AkiyamaMasae HorinouchiToshiaki Kudo
- Topics
- Multiple Myeloma Research and Treatments (26 papers)Steroid Chemistry and Biochemistry (22 papers)Intracranial Aneurysms: Treatment and Complications (19 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Toshiaki Hayashi
182 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 3.3k
- Hematology 1.5k
- Oncology 1.2k
- Immunology 712
- Neurology 658
Countries citing papers authored by Toshiaki Hayashi
This map shows the geographic impact of Toshiaki 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 Toshiaki Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiaki Hayashi more than expected).
Fields of papers citing papers by Toshiaki Hayashi
This network shows the impact of papers produced by Toshiaki 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 Toshiaki Hayashi. The network helps show where Toshiaki Hayashi may publish in the future.
Co-authorship network of co-authors of Toshiaki Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiaki Hayashi. A scholar is included among the top collaborators of Toshiaki 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 Toshiaki Hayashi. Toshiaki 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 | 23 | |
| 4 | 52 | |
| 5 | 53 | |
| 6 | 0 | |
| 7 | 48 | |
| 8 | 267 | |
| 9 | Antitumor activity of lysophosphatidic acid acyltransferase-beta inhibitors, a novel class of agents, in multiple myeloma. | 58 |
| 10 | 23 | |
| 11 | 55 | |
| 12 | 83 | |
| 13 | 4 | |
| 14 | Current Studies on Stability and Combustibility of Marine Fuel Oil | 1 |
| 15 | MUC1 AS A TARGET ANTIGEN | 0 |
| 16 | 3 | |
| 17 | 1 | |
| 18 | Preparation of Alumina-Silica Fibers by Use of Sodium Alginate | 1 |
| 19 | 2 | |
| 20 | Drug Sensitivity of El Tor Vibrio | 2 |
About Toshiaki Hayashi
Toshiaki Hayashi is a scholar working on Hematology, Neurology and Pharmacology, having authored 194 papers that have together received 5.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (26 papers), Steroid Chemistry and Biochemistry (22 papers) and Intracranial Aneurysms: Treatment and Complications (19 papers). The work is most often cited by research in Hematology (1.5k citations), Pharmacology (502 citations) and Molecular Biology (3.3k citations). Toshiaki Hayashi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Teru Hideshima, Kenneth C. Anderson, Dharminder Chauhan, Paul G. Richardson, Nikhil C. Munshi, Masaharu Akiyama, Masae Horinouchi, Toshiaki Kudo, Nicholas Mitsiades and Teiji Tominaga. Their work appears in journals such as Journal of Biological Chemistry, Blood and The Science of The Total Environment.
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.