Tamotsu Miki
- Molecular Biology
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- R H RowndAlan M. EastonJo HaraokaHiroshi ItoHiroshi NishiokaSimón SilverHiroyuki NakaharaJun Wada
- Topics
- Cerebrospinal fluid and hydrocephalus (14 papers)Glioma Diagnosis and Treatment (9 papers)Spinal Dysraphism and Malformations (6 papers)
- Cited by
- Molecular MedicineGenetics
- Journals
- Journal of Biological ChemistryNeuroImageBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tamotsu Miki
42 papers receiving 771 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 274
- Genetics 223
- Cellular and Molecular Neuroscience 127
- Genetics 115
- Endocrinology, Diabetes and Metabolism 111
Countries citing papers authored by Tamotsu Miki
This map shows the geographic impact of Tamotsu Miki'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 Tamotsu Miki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamotsu Miki more than expected).
Fields of papers citing papers by Tamotsu Miki
This network shows the impact of papers produced by Tamotsu Miki. 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 Tamotsu Miki. The network helps show where Tamotsu Miki may publish in the future.
Co-authorship network of co-authors of Tamotsu Miki
This figure shows the co-authorship network connecting the top 25 collaborators of Tamotsu Miki. A scholar is included among the top collaborators of Tamotsu Miki 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 Tamotsu Miki. Tamotsu Miki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 53 | |
| 3 | 22 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 11 | |
| 12 | 17 | |
| 13 | 16 | |
| 14 | 30 | |
| 15 | 6 | |
| 16 | 22 | |
| 17 | 22 | |
| 18 | 42 | |
| 19 | 5 | |
| 20 | [Genetic analysis of hereditary diseases using PFLPs of DNA base sequence]. | 1 |
About Tamotsu Miki
Tamotsu Miki is a scholar working on Genetics, Cellular and Molecular Neuroscience and Medical Laboratory Technology, having authored 45 papers that have together received 854 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (14 papers), Glioma Diagnosis and Treatment (9 papers) and Spinal Dysraphism and Malformations (6 papers). The work is most often cited by research in Molecular Medicine (75 citations), Genetics (115 citations) and Genetics (223 citations). Tamotsu Miki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include R H Rownd, Alan M. Easton, Jo Haraoka, Hiroshi Ito, Hiroshi Nishioka, Simón Silver, Hiroyuki Nakahara, Jun Wada, Satoko Maki and Takashi Horiuchi. Their work appears in journals such as Journal of Biological Chemistry, NeuroImage and Biochemical and Biophysical Research 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.