Kenichi Inoue
- Oncology top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Cancer Research top 0.5%
- Molecular Biology top 5%
- Surgery top 5%
- Co-authors
- Norikazu MasudaHiroji IwataPierfranco ContéMasato TakahashiToshinari YamashitaMasakazu ToiGábor RubovszkyZsuzsanna Pápai
- Topics
- Cancer Treatment and Pharmacology (66 papers)Breast Cancer Treatment Studies (55 papers)HER2/EGFR in Cancer Research (54 papers)
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Kenichi Inoue
237 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Oncology 4.3k
- Pulmonary and Respiratory Medicine 3.6k
- Cancer Research 2.4k
- Molecular Biology 1.8k
- Surgery 1.1k
Countries citing papers authored by Kenichi Inoue
This map shows the geographic impact of Kenichi 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 Kenichi Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichi Inoue more than expected).
Fields of papers citing papers by Kenichi Inoue
This network shows the impact of papers produced by Kenichi 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 Kenichi Inoue. The network helps show where Kenichi Inoue may publish in the future.
Co-authorship network of co-authors of Kenichi Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Kenichi Inoue. A scholar is included among the top collaborators of Kenichi 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 Kenichi Inoue. Kenichi 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 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | Alpelisib for PIK3CA -Mutated, Hormone Receptor–Positive Advanced Breast Cancerbreakdown → | 1565 |
| 9 | 7 | |
| 10 | 39 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 28 | |
| 14 | 15 | |
| 15 | 52 | |
| 16 | 22 | |
| 17 | 4 | |
| 18 | Interactive Effects of Moisture Content and Bulk Density of Soils and Addition of Dried Swine Feces on Denitrification in Upland Soils | 1 |
| 19 | 0 | |
| 20 | A Novel Immunosuppressant, ISP-I, of Isaria sinclairii | 2 |
About Kenichi Inoue
Kenichi Inoue is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 255 papers that have together received 8.6k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (66 papers), Breast Cancer Treatment Studies (55 papers) and HER2/EGFR in Cancer Research (54 papers). The work is most often cited by research in Oncology (4.3k citations), Cancer Research (2.4k citations) and Pulmonary and Respiratory Medicine (3.6k citations). Kenichi Inoue has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Norikazu Masuda, Hiroji Iwata, Pierfranco Conté, Masato Takahashi, Toshinari Yamashita, Masakazu Toi, Gábor Rubovszky, Zsuzsanna Pápai, Fabrice André and Bella Kaufman. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.