Takayuki Inoue
- Molecular Biology
- Physiology top 5%
- Oncology top 10%
- Surgery
- Organic Chemistry top 10%
- Co-authors
- Noriko Satoh‐AsaharaMasashi TanakaHajime YamakageToru KusakabeAkira ShimatsuMasahiro IwataShigeyuki SuzukiMotoki Nagaya
- Topics
- Fatty Acid Research and Health (9 papers)Cytokine Signaling Pathways and Interactions (8 papers)Hematopoietic Stem Cell Transplantation (8 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Takayuki Inoue
116 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 145
- Molecular Biology 532
- Physiology 406
- Oncology 348
- Surgery 278
- Organic Chemistry 246
Countries citing papers authored by Takayuki Inoue
This map shows the geographic impact of Takayuki Inoue'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 Takayuki Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayuki Inoue more than expected).
Fields of papers citing papers by Takayuki Inoue
This network shows the impact of papers produced by Takayuki Inoue. 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 Takayuki Inoue. The network helps show where Takayuki Inoue may publish in the future.
Co-authorship network of co-authors of Takayuki Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Inoue. A scholar is included among the top collaborators of Takayuki Inoue 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 Takayuki Inoue. Takayuki Inoue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 27 | |
| 5 | 8 | |
| 6 | 66 | |
| 7 | Numerical simulation of the three-dimensional river antidunes | 1 |
| 8 | 87 | |
| 9 | 23 | |
| 10 | 16 | |
| 11 | 20 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 19 | |
| 16 | Features of Keratitis With Quantitative Polymerase Chain Reaction Positive for Cytomegalovirus | 1 |
| 17 | 11 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 5 |
About Takayuki Inoue
Takayuki Inoue is a scholar working on Biochemistry, Geriatrics and Gerontology and Oncology, having authored 121 papers that have together received 2.2k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (9 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Hematopoietic Stem Cell Transplantation (8 papers). The work is most often cited by research in Geriatrics and Gerontology (84 citations), Biological Psychiatry (41 citations) and Neurology (133 citations). Takayuki Inoue has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Noriko Satoh‐Asahara, Masashi Tanaka, Hajime Yamakage, Toru Kusakabe, Akira Shimatsu, Masahiro Iwata, Shigeyuki Suzuki, Motoki Nagaya, Michio Hashimoto and Masanori Katakura. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
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.