Tomohito Hayashi
- Genetics top 1%
- Molecular Biology top 5%
- Pathology and Forensic Medicine top 2%
- Agronomy and Crop Science top 2%
- Immunology
- Co-authors
- Stefan SomloGuanqing WuToshio MochizukiYiqiang CaiDavid M. ReynoldsDorien J.M. PetersBarbera VeldhuisenJasper J. Saris
- Topics
- Milk Quality and Mastitis in Dairy Cows (21 papers)Genetic and Kidney Cyst Diseases (12 papers)Genetic Syndromes and Imprinting (9 papers)
- Journals
- ScienceJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Tomohito Hayashi
79 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Genetics 1.7k
- Molecular Biology 1.5k
- Pathology and Forensic Medicine 504
- Agronomy and Crop Science 257
- Immunology 194
Countries citing papers authored by Tomohito Hayashi
This map shows the geographic impact of Tomohito 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 Tomohito Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohito Hayashi more than expected).
Fields of papers citing papers by Tomohito Hayashi
This network shows the impact of papers produced by Tomohito 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 Tomohito Hayashi. The network helps show where Tomohito Hayashi may publish in the future.
Co-authorship network of co-authors of Tomohito Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Tomohito Hayashi. A scholar is included among the top collaborators of Tomohito 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 Tomohito Hayashi. Tomohito 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 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 27 | |
| 9 | 19 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | Superantigenic stimulation of bovine T cells by Streptococcus dysgalactiae-derived mitogen (SDM) | 1 |
| 14 | 56 | |
| 15 | 7 | |
| 16 | 72 | |
| 17 | 77 | |
| 18 | 36 | |
| 19 | 5 | |
| 20 | 0 |
About Tomohito Hayashi
Tomohito Hayashi is a scholar working on Agronomy and Crop Science, Microbiology and Immunology, having authored 82 papers that have together received 2.7k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (21 papers), Genetic and Kidney Cyst Diseases (12 papers) and Genetic Syndromes and Imprinting (9 papers). The work is most often cited by research in Genetics (1.7k citations), Pathology and Forensic Medicine (504 citations) and Agronomy and Crop Science (257 citations). Tomohito Hayashi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Stefan Somlo, Guanqing Wu, Toshio Mochizuki, Yiqiang Cai, David M. Reynolds, Dorien J.M. Peters, Barbera Veldhuisen, Jasper J. Saris, Martijn H. Breuning and Stavroulla Xenophontos. Their work appears in journals such as Science, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.