Hideki Inoue
- Molecular Biology top 10%
- Aging top 0.1%
- Endocrine and Autonomic Systems top 2%
- Immunology
- Physiology
- Co-authors
- Naoki HisamotoKunihiro MatsumotoDennis H. KimFrederick M. AusubelT. Keith BlackwellJae Hyung AnEisuke NishidaGeneviève Alloing
- Topics
- Genetics, Aging, and Longevity in Model Organisms (8 papers)Genomics, phytochemicals, and oxidative stress (4 papers)Circadian rhythm and melatonin (4 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Hideki Inoue
28 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.1k
- Aging 1.1k
- Endocrine and Autonomic Systems 339
- Immunology 191
- Physiology 186
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 | 0 | |
| 2 | 14 | |
| 3 | 14 | |
| 4 | 13 | |
| 5 | 13 | |
| 6 | 72 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 20 | |
| 10 | 34 | |
| 11 | A Conserved p38 MAP Kinase Pathway in Caenorhabditis elegans Innate Immunitybreakdown → | 671 |
| 12 | 221 | |
| 13 | 10 | |
| 14 | 35 | |
| 15 | 17 | |
| 16 | 83 | |
| 17 | Expression and relationship between topoisomerase I and II alpha genes in tumor and normal tissues in esophageal, gastric and colon cancers. | 22 |
| 18 | Enhancement of chemotherapeutic agents induced-apoptosis associated with activation of c-Jun N-terminal kinase 1 and caspase 3 (CPP32) in bax-transfected gastric cancer cells. | 17 |
| 19 | 6 | |
| 20 | 4 |
About Hideki Inoue
Hideki Inoue is a scholar working on Aging, Endocrine and Autonomic Systems and Organic Chemistry, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Circadian rhythm and melatonin (4 papers). The work is most often cited by research in Aging (1.1k citations), Endocrine and Autonomic Systems (339 citations) and Biological Psychiatry (59 citations). Hideki Inoue has collaborated with scholars based in Japan and United States. Frequent co-authors include Naoki Hisamoto, Kunihiro Matsumoto, Dennis H. Kim, Frederick M. Ausubel, T. Keith Blackwell, Jae Hyung An, Eisuke Nishida, Geneviève Alloing, Man‐Wah Tan and Rhonda Feinbaum. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.