Tomoko Tahira
- Molecular Biology top 5%
- Oncology top 5%
- Genetics top 5%
- Cancer Research top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Kenshi HayashiTakashi SügimuraYukihito IshizakaMinako NagaoHiroyuki KondoYoji KukitaFumio ItohIsuzu Ikeda
- Topics
- Molecular Biology Techniques and Applications (13 papers)DNA Repair Mechanisms (7 papers)Ubiquitin and proteasome pathways (6 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tomoko Tahira
96 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.7k
- Oncology 459
- Genetics 424
- Cancer Research 305
- Endocrinology, Diabetes and Metabolism 266
Countries citing papers authored by Tomoko Tahira
This map shows the geographic impact of Tomoko Tahira'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 Tomoko Tahira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Tahira more than expected).
Fields of papers citing papers by Tomoko Tahira
This network shows the impact of papers produced by Tomoko Tahira. 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 Tomoko Tahira. The network helps show where Tomoko Tahira may publish in the future.
Co-authorship network of co-authors of Tomoko Tahira
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Tahira. A scholar is included among the top collaborators of Tomoko Tahira 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 Tomoko Tahira. Tomoko Tahira 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 | 7 | |
| 3 | 10 | |
| 4 | 55 | |
| 5 | 20 | |
| 6 | 9 | |
| 7 | 50 | |
| 8 | Genotype–Phenotype Correlation in Familial Exudative Vitreoretinopathy or Norrie Disease With Mutations in the Norrie Disease Gene | 2 |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 14 | |
| 12 | Search for mutations in patients with autosomal recessive retinitis pigmentosa using homozygosity–based screening with multiple locus–specific microsatellite markers | 1 |
| 13 | 3 | |
| 14 | 106 | |
| 15 | 84 | |
| 16 | 40 | |
| 17 | 15 | |
| 18 | [Human ret proto-oncogene]. | 1 |
| 19 | 31 | |
| 20 | Nakahara memorial lecture. New classes of tumor promoters: teleocidin, aplysiatoxin, and palytoxin. | 7 |
About Tomoko Tahira
Tomoko Tahira is a scholar working on Molecular Biology, Cancer Research and Neurology, having authored 96 papers that have together received 2.8k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (13 papers), DNA Repair Mechanisms (7 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Cancer Research (305 citations) and Oncology (459 citations). Tomoko Tahira has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kenshi Hayashi, Takashi Sügimura, Yukihito Ishizaka, Minako Nagao, Hiroyuki Kondo, Yoji Kukita, Fumio Itoh, Minako Nagao, Isuzu Ikeda and Masako Ochiai. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Immunology.
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.