Gen Tamiya
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Genetics top 2%
- Genetic Associations and Epidemiology
Papers in
-
- Gene expression and cancer classification 5
- Genetics 44
- Genetic Associations and Epidemiology 19
- Genetic Mapping and Diversity in Plants and Animals 9
- Genetic and phenotypic traits in livestock 6
- Genetic diversity and population structure 5
- Co-authors
- Hidetoshi Inoko (30 shared papers)Satoshi Makino (30 shared papers)Akira Oka (19 shared papers)Masao Ueki (18 shared papers)Koichi Okamoto (11 shared papers)Takashi Shiina (8 shared papers)Minoru Kimura (9 shared papers)Satoshi Ando (6 shared papers)
- Journals
- The American Journal of Human Genetics (9 papers)Gene (6 papers)Scientific Reports (6 papers)Immunogenetics (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Gen Tamiya
126 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 143
- Immunology 631
- Genetics 710
- Neurology 290
- Cellular and Molecular Neuroscience 294
- Molecular Biology 1.1k
Countries citing papers authored by Gen Tamiya
This map shows the geographic impact of Gen Tamiya'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 Gen Tamiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Tamiya more than expected).
Fields of papers citing papers by Gen Tamiya
This network shows the impact of papers produced by Gen Tamiya. 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 Gen Tamiya. The network helps show where Gen Tamiya may publish in the future.
Co-authors
The 25 scholars most cited alongside Gen Tamiya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 194 | |
| 2 | 2019 | 152 | |
| 3 | 2005 | 143 | |
| 4 | 1999 | 131 | |
| 5 | 2004 | 114 | |
| 6 | 2004 | 111 | |
| 7 | 2014 | 105 | |
| 8 | 2020 | 102 | |
| 9 | 2008 | 101 | |
| 10 | 2019 | 99 | |
| 11 | 2003 | 99 | |
| 12 | 2005 | 93 | |
| 13 | 1999 | 90 | |
| 14 | 2003 | 76 | |
| 15 | 2014 | 74 | |
| 16 | 1998 | 71 | |
| 17 | 1998 | 69 | |
| 18 | An efficient expression vector for transgenic medaka construction. | 1994 | 66 |
| 19 | 2014 | 64 | |
| 20 | 2005 | 58 |
About Gen Tamiya
Gen Tamiya is a scholar working on Molecular Biology, Genetics, Immunology, Epidemiology and Genetics, having authored 132 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (19 papers), T-cell and B-cell Immunology (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Immune Cell Function and Interaction (7 papers), Genetic and phenotypic traits in livestock (6 papers), Immunotherapy and Immune Responses (5 papers), Genetic diversity and population structure (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Immunology (631 citations), Genetics (710 citations), Neurology (290 citations), Cellular and Molecular Neuroscience (294 citations) and Molecular Biology (1.1k citations). Gen Tamiya has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Hidetoshi Inoko, Satoshi Makino, Akira Oka, Masao Ueki, Koichi Okamoto, Takashi Shiina, Minoru Kimura, Satoshi Ando, M. Tomizawa and Masao Ôta. Their work appears in journals such as The American Journal of Human Genetics, Gene, Scientific Reports, Immunogenetics 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.