Kenichi Aizawa
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine top 10%
- Genetics
- Surgery
- Co-authors
- Toru SuzukiRyozo NagaiTakayoshi MatsumuraYoshiko MunemasaIchiro ManabeDaigo SawakiMasami HorikoshiYasushi Imai
- Topics
- Cancer-related gene regulation (16 papers)Kruppel-like factors research (16 papers)Liver Disease Diagnosis and Treatment (6 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Kenichi Aizawa
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 808
- Cardiology and Cardiovascular Medicine 284
- Pulmonary and Respiratory Medicine 207
- Genetics 168
- Surgery 157
Countries citing papers authored by Kenichi Aizawa
This map shows the geographic impact of Kenichi Aizawa'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 Aizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichi Aizawa more than expected).
Fields of papers citing papers by Kenichi Aizawa
This network shows the impact of papers produced by Kenichi Aizawa. 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 Aizawa. The network helps show where Kenichi Aizawa may publish in the future.
Co-authorship network of co-authors of Kenichi Aizawa
This figure shows the co-authorship network connecting the top 25 collaborators of Kenichi Aizawa. A scholar is included among the top collaborators of Kenichi Aizawa 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 Aizawa. Kenichi Aizawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 21 | |
| 12 | Ataxia telangiectasia mutated in cardiac fibroblasts regulates doxorubicin-induced cardiotoxicity | 1 |
| 13 | 14 | |
| 14 | 6 | |
| 15 | 26 | |
| 16 | 2 | |
| 17 | 82 | |
| 18 | Transcriptional activation by acetylation of the transcription factor IKLF/BTEB2 by p300 | 1 |
| 19 | 10 | |
| 20 | [Analysis of cases with liver abscess following transcatheter arterial chemoembolization (TAE) for malignant hepatic tumors]. | 3 |
About Kenichi Aizawa
Kenichi Aizawa is a scholar working on Transplantation, Cardiology and Cardiovascular Medicine and Hematology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related gene regulation (16 papers), Kruppel-like factors research (16 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (284 citations), Molecular Biology (808 citations) and Cancer Research (154 citations). Kenichi Aizawa has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Toru Suzuki, Ryozo Nagai, Takayoshi Matsumura, Yoshiko Munemasa, Ichiro Manabe, Daigo Sawaki, Masami Horikoshi, Yasushi Imai, Shinsuke Muto and Shota Tomida. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.
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.