Shouhei Iku
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Surgery
- Immunology and Allergy top 5%
- Co-authors
- Fumio ItohKohzoh ImaiHiroyuki YamamotoYasushi AdachiMasao HosokawaShigeru SasakiHiroshi FukushimaTakao Endo
- Topics
- Protease and Inhibitor Mechanisms (7 papers)Bone Tissue Engineering Materials (6 papers)Genetic factors in colorectal cancer (3 papers)
- Partner nations
- JapanChinaUnited Kingdom
In The Last Decade
Shouhei Iku
18 papers receiving 858 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 484
- Oncology 362
- Cancer Research 289
- Surgery 117
- Immunology and Allergy 110
Countries citing papers authored by Shouhei Iku
This map shows the geographic impact of Shouhei Iku'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 Shouhei Iku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouhei Iku more than expected).
Fields of papers citing papers by Shouhei Iku
This network shows the impact of papers produced by Shouhei Iku. 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 Shouhei Iku. The network helps show where Shouhei Iku may publish in the future.
Co-authorship network of co-authors of Shouhei Iku
This figure shows the co-authorship network connecting the top 25 collaborators of Shouhei Iku. A scholar is included among the top collaborators of Shouhei Iku 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 Shouhei Iku. Shouhei Iku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 123 | |
| 9 | 5 | |
| 10 | 37 | |
| 11 | 44 | |
| 12 | 23 | |
| 13 | Expression of the gamma(2) chain of laminin-5 at the invasive front is associated with recurrence and poor prognosis in human esophageal squamous cell carcinoma. | 102 |
| 14 | 146 | |
| 15 | Frequent alterations of the beta-catenin and TCF-4 genes, but not of the APC gene, in colon cancers with high-frequency microsatellite instability. | 24 |
| 16 | 208 | |
| 17 | Matrix Metalloproteinase Matrilysin in Cancers of the Digestive Organs | 2 |
| 18 | Association of matrilysin expression with recurrence and poor prognosis in human esophageal squamous cell carcinoma. | 110 |
About Shouhei Iku
Shouhei Iku is a scholar working on Aging, Cancer Research and Immunology and Allergy, having authored 18 papers that have together received 868 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Bone Tissue Engineering Materials (6 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Cancer Research (289 citations), Immunology and Allergy (110 citations) and Oncology (362 citations). Shouhei Iku has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Fumio Itoh, Kohzoh Imai, Hiroyuki Yamamoto, Yasushi Adachi, Masao Hosokawa, Shigeru Sasaki, Hiroshi Fukushima, Takao Endo, Shina Horiuchi and Yongfen Min. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Oncogene.
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.