Takuya Inoue
- Immunology
- Reproductive Medicine top 5%
- Obstetrics and Gynecology top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Co-authors
- Hideharu KanzakiShinji NarukawaYoshiyuki KanekoHirohiko WatanabeHiroshi KatsuragawaTakahide MoriHiroshi HatayamaTomoya Mori
- Topics
- Reproductive System and Pregnancy (5 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers)Endometriosis Research and Treatment (4 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Takuya Inoue
20 papers receiving 317 citations
Peers
Comparison fields: 5 of 72
- Immunology 160
- Reproductive Medicine 115
- Obstetrics and Gynecology 97
- Molecular Biology 78
- Public Health, Environmental and Occupational Health 40
Countries citing papers authored by Takuya Inoue
This map shows the geographic impact of Takuya 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 Takuya Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Inoue more than expected).
Fields of papers citing papers by Takuya Inoue
This network shows the impact of papers produced by Takuya 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 Takuya Inoue. The network helps show where Takuya Inoue may publish in the future.
Co-authorship network of co-authors of Takuya Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Inoue. A scholar is included among the top collaborators of Takuya 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 Takuya Inoue. Takuya 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 24 | |
| 9 | A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation | 1 |
| 10 | 4 | |
| 11 | 28 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 32 | |
| 17 | EXPERIMENT AND SIMULATION FOR THICK-PLATE BENDING BY HIGH FREQUENCY INDUCTOR | 1 |
| 18 | 104 | |
| 19 | 6 | |
| 20 | 11 |
About Takuya Inoue
Takuya Inoue is a scholar working on Reproductive Medicine, Rheumatology and Obstetrics and Gynecology, having authored 23 papers that have together received 320 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Endometriosis Research and Treatment (4 papers). The work is most often cited by research in Reproductive Medicine (115 citations), Obstetrics and Gynecology (97 citations) and Immunology (160 citations). Takuya Inoue has collaborated with scholars based in Japan and United States. Frequent co-authors include Hideharu Kanzaki, Shinji Narukawa, Yoshiyuki Kaneko, Hirohiko Watanabe, Hiroshi Katsuragawa, Takahide Mori, Hiroshi Hatayama, Tomoya Mori, Masataka Kohno and Takashi Kida. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.