Taichi Noda
- Reproductive Medicine top 1%
- Sperm and Testicular Function 30
- Aging top 10%
-
- Reproductive Biology and Fertility 25
- Physiology top 5%
- Reproductive biology and impacts on aquatic species 4
- Genetics top 5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 8
-
- CRISPR and Genetic Engineering 10
- DNA Repair Mechanisms 5
- Pluripotent Stem Cells Research 4
-
- Reproductive System and Pregnancy 4
- Co-authors
- Masahito IkawaYoshitaka FujiharaMartin M. MatzukSeiya OuraHiroshi HarayamaYonggang LuTakafumi MatsumuraSumire Kobayashi
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (6 papers)Nature Communications (3 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Taichi Noda
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Reproductive Medicine 554
- Aging 38
- Public Health, Environmental and Occupational Health 456
- Physiology 64
- Genetics 344
Countries citing papers authored by Taichi Noda
This map shows the geographic impact of Taichi Noda'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 Taichi Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taichi Noda more than expected).
Fields of papers citing papers by Taichi Noda
This network shows the impact of papers produced by Taichi Noda. 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 Taichi Noda. The network helps show where Taichi Noda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taichi Noda, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 26 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 30 | |
| 15 | 2020 | 77 | |
| 16 | 2020 | 103 | |
| 17 | 2020 | 48 | |
| 18 | 2018 | 21 | |
| 19 | 2011 | 35 | |
| 20 | 2010 | 17 |
About Taichi Noda
Taichi Noda is a scholar working on Reproductive Medicine, Aging and Physiology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sperm and Testicular Function (30 papers), Reproductive Biology and Fertility (25 papers), CRISPR and Genetic Engineering (10 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (8 papers), DNA Repair Mechanisms (5 papers), Reproductive System and Pregnancy (4 papers), Pluripotent Stem Cells Research (4 papers) and Reproductive biology and impacts on aquatic species (4 papers). The work is most often cited by research in Reproductive Medicine (554 citations), Aging (38 citations) and Public Health, Environmental and Occupational Health (456 citations). Taichi Noda has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Masahito Ikawa, Yoshitaka Fujihara, Martin M. Matzuk, Seiya Oura, Hiroshi Harayama, Yonggang Lu, Takafumi Matsumura, Sumire Kobayashi, Asami Oji and Kaori Nozawa. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.