Tatsuya Takemoto
- Developmental Neuroscience top 5%
- Aging top 5%
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 16
- Developmental Biology and Gene Regulation 13
- Congenital heart defects research 10
- CRISPR and Genetic Engineering 9
- Genetics top 5%
- Animal Genetics and Reproduction 12
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
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- Electronic Packaging and Soldering Technologies 15
- 3D IC and TSV technologies 5
- Co-authors
- Hisato KondohMasakazu HashimotoMasanori UchikawaYusuke KamachiFeng GaoHiroshi NishikawaYoshiko IshidaYukiko Yamashita
- Journals
- Developmental Biology (4 papers)Development Growth & Differentiation (4 papers)Nature Communications (3 papers)
- Partner nations
- JapanChinaUnited Kingdom
In The Last Decade
Tatsuya Takemoto
67 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 118
- Developmental Neuroscience 141
- Aging 47
- Molecular Biology 1.7k
- Genetics 656
- Business and International Management 43
Countries citing papers authored by Tatsuya Takemoto
This map shows the geographic impact of Tatsuya Takemoto'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 Tatsuya Takemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Takemoto more than expected).
Fields of papers citing papers by Tatsuya Takemoto
This network shows the impact of papers produced by Tatsuya Takemoto. 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 Tatsuya Takemoto. The network helps show where Tatsuya Takemoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tatsuya Takemoto, 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 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 129 | |
| 7 | 2022 | 57 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 285 | |
| 11 | 2018 | 24 | |
| 12 | 2017 | 31 | |
| 13 | 2016 | 96 | |
| 14 | 2015 | 251 | |
| 15 | Effect of heating method on microstructure of Sn-3.0Ag-0.5Cu solder on Cu substrate | 2011 | 8 |
| 16 | 2010 | 55 | |
| 17 | Characteristics of electrically conductive adhesives filled with copper nanoparticles with organic layer | 2009 | 2 |
| 18 | 2005 | 117 | |
| 19 | 2004 | 69 | |
| 20 | 2003 | 312 |
About Tatsuya Takemoto
Tatsuya Takemoto is a scholar working on General Materials Science, Aging, Molecular Biology, Business and International Management and Genetics, having authored 73 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), Electronic Packaging and Soldering Technologies (15 papers), Developmental Biology and Gene Regulation (13 papers), Animal Genetics and Reproduction (12 papers), Congenital heart defects research (10 papers), CRISPR and Genetic Engineering (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers) and 3D IC and TSV technologies (5 papers). The work is most often cited by research in Developmental Neuroscience (141 citations), Aging (47 citations), Molecular Biology (1.7k citations), Genetics (656 citations) and Business and International Management (43 citations). Tatsuya Takemoto has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Hisato Kondoh, Masakazu Hashimoto, Masanori Uchikawa, Yusuke Kamachi, Feng Gao, Hiroshi Nishikawa, Yoshiko Ishida, Yukiko Yamashita, Il‐mi Okazaki and Taku Okazaki. Their work appears in journals such as Developmental Biology, Development Growth & Differentiation, Nature Communications, Mechanisms of Development and Genes to Cells.
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.