Tamaki Yano
- Immunology top 2%
- Insect Science top 0.5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Epidemiology
- Co-authors
- Shoichiro KurataYoshiteru OshimaNeal SilvermanHaruhiko TakadaWilliam E. GoldmanShizuka MitaTomonori KatsuyamaAnne Ephrussi
- Topics
- Invertebrate Immune Response Mechanisms (10 papers)Neurobiology and Insect Physiology Research (4 papers)Autophagy in Disease and Therapy (4 papers)
- Cited by
- Insect ScienceImmunologyMicrobiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Tamaki Yano
30 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 108
- Immunology 1.1k
- Insect Science 771
- Molecular Biology 544
- Cellular and Molecular Neuroscience 355
- Epidemiology 212
Countries citing papers authored by Tamaki Yano
This map shows the geographic impact of Tamaki Yano'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 Tamaki Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamaki Yano more than expected).
Fields of papers citing papers by Tamaki Yano
This network shows the impact of papers produced by Tamaki Yano. 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 Tamaki Yano. The network helps show where Tamaki Yano may publish in the future.
Co-authorship network of co-authors of Tamaki Yano
This figure shows the co-authorship network connecting the top 25 collaborators of Tamaki Yano. A scholar is included among the top collaborators of Tamaki Yano 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 Tamaki Yano. Tamaki Yano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 44 | |
| 5 | 37 | |
| 6 | 22 | |
| 7 | 290 | |
| 8 | 311 | |
| 9 | 142 | |
| 10 | 98 | |
| 11 | 235 | |
| 12 | 8 | |
| 13 | 278 | |
| 14 | 2 | |
| 15 | 118 | |
| 16 | 10 | |
| 17 | ALL-1 interacts with unr, a protein containing multiple cold shock domains. | 11 |
| 18 | 15 | |
| 19 | 26 | |
| 20 | 11 |
About Tamaki Yano
Tamaki Yano is a scholar working on Algebra and Number Theory, Discrete Mathematics and Combinatorics and Geometry and Topology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (10 papers), Neurobiology and Insect Physiology Research (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Insect Science (771 citations), Immunology (1.1k citations) and Microbiology (185 citations). Tamaki Yano has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Shoichiro Kurata, Yoshiteru Oshima, Neal Silverman, Haruhiko Takada, William E. Goldman, Shizuka Mita, Tomonori Katsuyama, Anne Ephrussi, Kamna Aggarwal and Toshiro Aigaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.