Marito Hayashi
- Molecular Biology
- Cell Biology top 10%
- Ecology
- Cellular and Molecular Neuroscience
- Developmental Neuroscience top 5%
- Co-authors
- Masaki HayashiSamuel L. PfaffShawn P. DriscollKathryn L. HildeChristopher A. HinckleyS. SpiegelmanAriel J. LevineKamal Sharma
- Topics
- DNA and Nucleic Acid Chemistry (5 papers)RNA and protein synthesis mechanisms (5 papers)Zebrafish Biomedical Research Applications (3 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Marito Hayashi
20 papers receiving 522 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 322
- Cell Biology 132
- Ecology 95
- Cellular and Molecular Neuroscience 93
- Developmental Neuroscience 93
Countries citing papers authored by Marito Hayashi
This map shows the geographic impact of Marito 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 Marito Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marito Hayashi more than expected).
Fields of papers citing papers by Marito Hayashi
This network shows the impact of papers produced by Marito 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 Marito Hayashi. The network helps show where Marito Hayashi may publish in the future.
Co-authorship network of co-authors of Marito Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Marito Hayashi. A scholar is included among the top collaborators of Marito 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 Marito Hayashi. Marito 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 | 14 | |
| 2 | 39 | |
| 3 | 2 | |
| 4 | 54 | |
| 5 | 113 | |
| 6 | 25 | |
| 7 | 29 | |
| 8 | 44 | |
| 9 | 27 | |
| 10 | New sublines of Chinese hamster CHL stably expressing human NAT1 or NAT2 N-acetyltransferases or Salmonella typhimurium O-acetyltransferase: comparison of the sensitivities to nitroarenes and aromatic amines using the in vitro micronucleus test. | 27 |
| 11 | [Pharmacokinetic and clinical studies on ceftriaxone in the field of obstetrics and gynecology]. | 1 |
| 12 | [Pharmacokinetics of ACNU in cerebrospinal fluid]. | 2 |
| 13 | 9 | |
| 14 | Purification and properties of the major phenylalanyl transfer RNA species in drug-resistant Ehrlich tumor cells. | 6 |
| 15 | 29 | |
| 16 | 13 | |
| 17 | 12 | |
| 18 | 21 | |
| 19 | 42 | |
| 20 | 56 |
About Marito Hayashi
Marito Hayashi is a scholar working on Developmental Neuroscience, Toxicology and Cell Biology, having authored 20 papers that have together received 565 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (5 papers), RNA and protein synthesis mechanisms (5 papers) and Zebrafish Biomedical Research Applications (3 papers). The work is most often cited by research in Developmental Neuroscience (93 citations), Cell Biology (132 citations) and Endocrine and Autonomic Systems (39 citations). Marito Hayashi has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Masaki Hayashi, Samuel L. Pfaff, Shawn P. Driscoll, Kathryn L. Hilde, Christopher A. Hinckley, S. Spiegelman, Ariel J. Levine, Kamal Sharma, Yoshiki Hayashi and Neal D. Amin. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.
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.