Norio Takamoto
- Molecular Biology
- Obstetrics and Gynecology top 2%
- Immunology top 10%
- Genetics top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Sophia Y. TsaiFrancesco J. DeMayoHisashi MasuyamaH NakatsukasaYuji HiramatsuMing‐Jer TsaiBihong ZhaoLi‐Ru You
- Topics
- Pregnancy and preeclampsia studies (8 papers)Gestational Diabetes Research and Management (6 papers)Hedgehog Signaling Pathway Studies (4 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Norio Takamoto
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 400
- Obstetrics and Gynecology 298
- Immunology 281
- Genetics 262
- Pediatrics, Perinatology and Child Health 175
Countries citing papers authored by Norio Takamoto
This map shows the geographic impact of Norio Takamoto'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 Norio Takamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norio Takamoto more than expected).
Fields of papers citing papers by Norio Takamoto
This network shows the impact of papers produced by Norio Takamoto. 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 Norio Takamoto. The network helps show where Norio Takamoto may publish in the future.
Co-authorship network of co-authors of Norio Takamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Norio Takamoto. A scholar is included among the top collaborators of Norio Takamoto 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 Norio Takamoto. Norio Takamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Malignant neoplasm related mortality and morbidity of hypertensive outpatients in Japanese men and women. | 0 |
| 2 | 6 | |
| 3 | 13 | |
| 4 | 42 | |
| 5 | 26 | |
| 6 | 42 | |
| 7 | Expression of the serine protease hepsin and clinical outcome of human endometrial cancer. | 17 |
| 8 | 18 | |
| 9 | 79 | |
| 10 | 66 | |
| 11 | 7 | |
| 12 | 32 | |
| 13 | 98 | |
| 14 | 131 | |
| 15 | 74 | |
| 16 | 79 | |
| 17 | 7 | |
| 18 | 145 | |
| 19 | 31 | |
| 20 | 10 |
About Norio Takamoto
Norio Takamoto is a scholar working on Obstetrics and Gynecology, Genetics and Immunology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Gestational Diabetes Research and Management (6 papers) and Hedgehog Signaling Pathway Studies (4 papers). The work is most often cited by research in Obstetrics and Gynecology (298 citations), Reproductive Medicine (165 citations) and Immunology (281 citations). Norio Takamoto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Sophia Y. Tsai, Francesco J. DeMayo, Hisashi Masuyama, H Nakatsukasa, Yuji Hiramatsu, Ming‐Jer Tsai, Bihong Zhao, Li‐Ru You, Akio Masumoto and Tatsuhiko Kodama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Development.
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.