Keizo Takenaga
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 26
- Protease and Inhibitor Mechanisms 14
- Molecular Biology top 2%
- S100 Proteins and Annexins 20
- Mitochondrial Function and Pathology 18
- ATP Synthase and ATPases Research 14
- RNA modifications and cancer 12
- Immunology and Allergy top 2%
- Immunology top 5%
- Clinical Biochemistry top 2%
-
- Cancer Research and Treatments 16
-
- Virus-based gene therapy research 12
- Co-authors
- Nobuko KoshikawaJun‐Ichi HayashiMiho AkimotoYoshio HonmaKazuto NakadaKaori IshikawaHirotake ImanishiYohko Nakamura
- Journals
- Biochemical and Biophysical Research Communications (10 papers)International Journal of Oncology (9 papers)Cancer Letters (7 papers)
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Keizo Takenaga
136 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 1.5k
- Molecular Biology 3.4k
- Immunology and Allergy 209
- Immunology 679
- Clinical Biochemistry 199
Countries citing papers authored by Keizo Takenaga
This map shows the geographic impact of Keizo Takenaga'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 Keizo Takenaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keizo Takenaga more than expected).
Fields of papers citing papers by Keizo Takenaga
This network shows the impact of papers produced by Keizo Takenaga. 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 Keizo Takenaga. The network helps show where Keizo Takenaga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keizo Takenaga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 7 | |
| 6 | 2021 | 7 | |
| 7 | 2016 | 33 | |
| 8 | 2012 | 69 | |
| 9 | 2011 | 68 | |
| 10 | 2010 | 37 | |
| 11 | 2010 | 33 | |
| 12 | ROS-Generating Mitochondrial DNA Mutations Can Regulate Tumor Cell Metastasisbreakdown → | 2008 | 1158 |
| 13 | 2007 | 20 | |
| 14 | 2005 | 37 | |
| 15 | 2000 | 18 | |
| 16 | 2000 | 17 | |
| 17 | 1999 | 57 | |
| 18 | 1998 | 12 | |
| 19 | 1992 | 32 | |
| 20 | Enhanced metastatic potential of cloned low-metastatic Lewis lung carcinoma cells treated in vitro with dimethyl sulfoxide. | 1984 | 42 |
About Keizo Takenaga
Keizo Takenaga is a scholar working on Cancer Research, Biotechnology and Molecular Biology, having authored 139 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (26 papers), S100 Proteins and Annexins (20 papers), Mitochondrial Function and Pathology (18 papers), Cancer Research and Treatments (16 papers), Protease and Inhibitor Mechanisms (14 papers), ATP Synthase and ATPases Research (14 papers), RNA modifications and cancer (12 papers) and Virus-based gene therapy research (12 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (3.4k citations) and Immunology and Allergy (209 citations). Keizo Takenaga has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Nobuko Koshikawa, Jun‐Ichi Hayashi, Miho Akimoto, Yoshio Honma, Kazuto Nakada, Kaori Ishikawa, Hirotake Imanishi, Yohko Nakamura, Shigeru Sakiyama and Aya Yamaguchi. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Journal of Oncology, Cancer Letters, Cancer Gene Therapy and Molecular and Cellular Biology.
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.