Tetsuo Kunieda
Impact in
- Genetics top 2%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Genetic and phenotypic traits in livestock
- Animal Genetics and Reproduction
- Genetic Mapping and Diversity in Plants and Animals
- Reproductive Medicine top 5%
- Sperm and Testicular Function
Papers in
- Co-authors
- Takehito TsujiYutaka ToyodaYuji MishinaEiji KobayashiTakeo W. TsutsuiHaiyang HuangJunko NoguchiSadahiro Azuma
- Journals
- Mammalian Genome (15 papers)EXPERIMENTAL ANIMALS (14 papers)Animal Science Journal (14 papers)Animal Genetics (5 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- JapanUnited StatesVietnam
In The Last Decade
Tetsuo Kunieda
126 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Genetics 806
- Reproductive Medicine 231
- Molecular Biology 1.3k
- Rheumatology 245
- Urology 93
Countries citing papers authored by Tetsuo Kunieda
This map shows the geographic impact of Tetsuo Kunieda'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 Tetsuo Kunieda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Kunieda more than expected).
Fields of papers citing papers by Tetsuo Kunieda
This network shows the impact of papers produced by Tetsuo Kunieda. 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 Tetsuo Kunieda. The network helps show where Tetsuo Kunieda may publish in the future.
Co-authors
The 25 scholars most cited alongside Tetsuo Kunieda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 0 | |
| 4 | 2020 | 4 | |
| 5 | 2018 | 2 | |
| 6 | 2016 | 10 | |
| 7 | 2014 | 11 | |
| 8 | 2012 | 10 | |
| 9 | 2010 | 44 | |
| 10 | 2010 | 18 | |
| 11 | 2009 | 4 | |
| 12 | 2009 | 16 | |
| 13 | 2007 | 9 | |
| 14 | 2006 | 10 | |
| 15 | 2005 | 8 | |
| 16 | 2004 | 161 | |
| 17 | 1999 | 8 | |
| 18 | 1997 | 19 | |
| 19 | 1994 | 6 | |
| 20 | 1992 | 35 |
About Tetsuo Kunieda
Tetsuo Kunieda is a scholar working on Genetics, Equine, Developmental Biology, Microbiology and Molecular Biology, having authored 138 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (18 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Reproductive Biology and Fertility (11 papers), Sperm and Testicular Function (9 papers), Animal Genetics and Reproduction (9 papers), DNA Repair Mechanisms (7 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Genetics (806 citations), Reproductive Medicine (231 citations), Molecular Biology (1.3k citations), Rheumatology (245 citations) and Urology (93 citations). Tetsuo Kunieda has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Takehito Tsuji, Yutaka Toyoda, Yuji Mishina, Eiji Kobayashi, Takeo W. Tsutsui, Haiyang Huang, Junko Noguchi, Sadahiro Azuma, Shimpei Kajita and Yusuke Shinkai. Their work appears in journals such as Mammalian Genome, EXPERIMENTAL ANIMALS, Animal Science Journal, Animal Genetics and Journal of Biological Chemistry.
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.