Kazuhito Ichikawa
- Molecular Biology top 5%
- Oncology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cell Biology top 2%
- Surgery top 10%
- Co-authors
- David J. HartshorneMasaaki ItoTakeshi NakanoJianhua FengShigeki TomitaNaoki IsakaTakahiro FujimoriJohji Imura
- Topics
- Gastric Cancer Management and Outcomes (20 papers)Genetic factors in colorectal cancer (16 papers)Colorectal Cancer Screening and Detection (15 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kazuhito Ichikawa
96 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.7k
- Oncology 643
- Cardiology and Cardiovascular Medicine 568
- Cell Biology 476
- Surgery 447
Countries citing papers authored by Kazuhito Ichikawa
This map shows the geographic impact of Kazuhito Ichikawa'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 Kazuhito Ichikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhito Ichikawa more than expected).
Fields of papers citing papers by Kazuhito Ichikawa
This network shows the impact of papers produced by Kazuhito Ichikawa. 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 Kazuhito Ichikawa. The network helps show where Kazuhito Ichikawa may publish in the future.
Co-authorship network of co-authors of Kazuhito Ichikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhito Ichikawa. A scholar is included among the top collaborators of Kazuhito Ichikawa 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 Kazuhito Ichikawa. Kazuhito Ichikawa 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 | 24 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | Validation of Pyrosequencing for the Analysis of KRAS Mutations in Colorectal Cancer | 1 |
| 8 | 4 | |
| 9 | 12 | |
| 10 | Diagnostic Validity of DNMT-1 and 3b Immunoreactivity in Non-neoplastic Epithelium of UC Patients with and Without Neoplasia | 1 |
| 11 | 6 | |
| 12 | 81 | |
| 13 | 13 | |
| 14 | 19 | |
| 15 | 5 | |
| 16 | 21 | |
| 17 | 8 | |
| 18 | 44 | |
| 19 | 98 | |
| 20 | 173 |
About Kazuhito Ichikawa
Kazuhito Ichikawa is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 96 papers that have together received 3.2k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (20 papers), Genetic factors in colorectal cancer (16 papers) and Colorectal Cancer Screening and Detection (15 papers). The work is most often cited by research in Cell Biology (476 citations), Molecular Biology (1.7k citations) and Cardiology and Cardiovascular Medicine (568 citations). Kazuhito Ichikawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include David J. Hartshorne, Masaaki Ito, Takeshi Nakano, Jianhua Feng, Shigeki Tomita, Naoki Isaka, Takahiro Fujimori, Johji Imura, Masakatsu Nishikawa and Hirokazu Fukui. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.
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.