Sakiko Inamoto
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Dianna M. MilewiczAndrea L. LafontHariyadarshi PannuEiichi OhtsuboVan Tran‐FaduluChristina L. PapkeDongchuan GuoYasushi Kitaura
- Topics
- Aortic Disease and Treatment Approaches (2 papers)Connective tissue disorders research (2 papers)Obstructive Sleep Apnea Research (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Sakiko Inamoto
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Genetics 368
- Pulmonary and Respiratory Medicine 358
- Molecular Biology 343
- Surgery 229
- Cardiology and Cardiovascular Medicine 185
Countries citing papers authored by Sakiko Inamoto
This map shows the geographic impact of Sakiko Inamoto'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 Sakiko Inamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakiko Inamoto more than expected).
Fields of papers citing papers by Sakiko Inamoto
This network shows the impact of papers produced by Sakiko Inamoto. 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 Sakiko Inamoto. The network helps show where Sakiko Inamoto may publish in the future.
Co-authorship network of co-authors of Sakiko Inamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Sakiko Inamoto. A scholar is included among the top collaborators of Sakiko Inamoto 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 Sakiko Inamoto. Sakiko Inamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 97 | |
| 2 | 24 | |
| 3 | 295 | |
| 4 | 78 | |
| 5 | Angiotensin-II Receptor Blocker Exerts Cardioprotection in Diabetic Rats Exposed to Hypoxia(Experimental Investigation) | 3 |
| 6 | 21 | |
| 7 | 21 | |
| 8 | 57 | |
| 9 | 55 | |
| 10 | 27 | |
| 11 | 188 | |
| 12 | KIAA遺伝子のマウス相同体のコード配列の予見; IV サイズ分画ライブラリより無作為に得たcDNAクローンの末端配列スクリーニングにより同定された500個のマウスKIAA相同cDNA | 9 |
| 13 | 46 | |
| 14 | 20 | |
| 15 | 36 | |
| 16 | 28 | |
| 17 | 42 | |
| 18 | 30 |
About Sakiko Inamoto
Sakiko Inamoto is a scholar working on Biotechnology, Genetics and Molecular Medicine, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (2 papers), Connective tissue disorders research (2 papers) and Obstructive Sleep Apnea Research (2 papers). The work is most often cited by research in Genetics (146 citations), Genetics (368 citations) and Pulmonary and Respiratory Medicine (358 citations). Sakiko Inamoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Dianna M. Milewicz, Andrea L. Lafont, Hariyadarshi Pannu, Eiichi Ohtsubo, Van Tran‐Fadulu, Christina L. Papke, Dongchuan Guo, Yasushi Kitaura, Yasushi Yoshioka and Kazuhide Takeuchi. Their work appears in journals such as Journal of Biological Chemistry, Circulation Research and Oncogene.
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.