Takayuki Inoue
- Geriatrics and Gerontology top 5%
- Biological Psychiatry top 10%
- Neurology top 5%
- Physiology top 5%
- Adipose Tissue and Metabolism 6
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology 7
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- Fatty Acid Research and Health 9
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- Cytokine Signaling Pathways and Interactions 8
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- Hematopoietic Stem Cell Transplantation 8
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 6
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 6
- Co-authors
- Noriko Satoh‐AsaharaMasashi TanakaHajime YamakageToru KusakabeAkira ShimatsuMasahiro IwataShigeyuki SuzukiMotoki Nagaya
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Takayuki Inoue
116 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 145
- Geriatrics and Gerontology 84
- Biological Psychiatry 41
- Neurology 133
- Physiology 406
- Biochemistry 110
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
The 25 scholars most cited alongside Takayuki Inoue, 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 | 2023 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2020 | 27 | |
| 5 | 2020 | 8 | |
| 6 | 2018 | 66 | |
| 7 | Numerical simulation of the three-dimensional river antidunes | 2017 | 1 |
| 8 | 2017 | 87 | |
| 9 | 2017 | 23 | |
| 10 | 2016 | 16 | |
| 11 | 2015 | 20 | |
| 12 | 2014 | 8 | |
| 13 | 2013 | 14 | |
| 14 | 2012 | 2 | |
| 15 | 2012 | 19 | |
| 16 | Features of Keratitis With Quantitative Polymerase Chain Reaction Positive for Cytomegalovirus | 2010 | 1 |
| 17 | 2010 | 11 | |
| 18 | 2003 | 6 | |
| 19 | 1998 | 3 | |
| 20 | 1995 | 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), Hematopoietic Stem Cell Transplantation (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Immune Cell Function and Interaction (6 papers), Adipose Tissue and Metabolism (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers) and T-cell and B-cell Immunology (6 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.
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.