Hideki Inoue
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 5%
- Surgery top 10%
- Oncology top 10%
- Molecular Biology
- Co-authors
- Akio NiimiG F BarnardK. TsujiShigeru NanbaraKoshi MimoriUeo HTsuyoshi AkiyoshiMasaki Mori
- Topics
- Asthma and respiratory diseases (26 papers)Respiratory and Cough-Related Research (18 papers)Allergic Rhinitis and Sensitization (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hideki Inoue
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Pulmonary and Respiratory Medicine 789
- Physiology 653
- Surgery 347
- Oncology 295
- Molecular Biology 283
Countries citing papers authored by Hideki Inoue
This map shows the geographic impact of Hideki 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 Hideki Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Inoue more than expected).
Fields of papers citing papers by Hideki Inoue
This network shows the impact of papers produced by Hideki 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 Hideki Inoue. The network helps show where Hideki Inoue may publish in the future.
Co-authorship network of co-authors of Hideki Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Inoue. A scholar is included among the top collaborators of Hideki 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 Hideki Inoue. Hideki 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 | 13 | |
| 2 | 3 | |
| 3 | 19 | |
| 4 | 10 | |
| 5 | 44 | |
| 6 | 7 | |
| 7 | 44 | |
| 8 | 40 | |
| 9 | 42 | |
| 10 | 56 | |
| 11 | 0 | |
| 12 | The UT-B urea transporter is expressed in colon mucosa | 1 |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 17 | |
| 17 | 12 | |
| 18 | 58 | |
| 19 | Application of Neural Networks in Real Time Identification of Dynamic Structural Response and Prediction of Road-Friction Coefficient μ from Steady State Automobile Response | 2 |
| 20 | 1 |
About Hideki Inoue
Hideki Inoue is a scholar working on Physiology, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (26 papers), Respiratory and Cough-Related Research (18 papers) and Allergic Rhinitis and Sensitization (7 papers). The work is most often cited by research in Physiology (653 citations), Pulmonary and Respiratory Medicine (789 citations) and Immunology and Allergy (128 citations). Hideki Inoue has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akio Niimi, G F Barnard, K. Tsuji, Shigeru Nanbara, Koshi Mimori, Ueo H, Tsuyoshi Akiyoshi, Masaki Mori, Hisako Matsumoto and Isao Ito. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.