Kenji Takeda
- Molecular Biology
- Aging top 2%
- Endocrine and Autonomic Systems top 5%
- Cardiology and Cardiovascular Medicine
- Genetics
- Co-authors
- Yoh WadaMasamitsu FutaiYoshihiro SambongiYoshifumi NinomiyaTakao YoshimizuYanna LiuMakoto NakahamaMasayuki Doi
- Topics
- Pharmacogenetics and Drug Metabolism (4 papers)Advanced Glycation End Products research (4 papers)Genetics, Aging, and Longevity in Model Organisms (2 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsEuropean Heart JournalThe Journal of Organic Chemistry
- Partner nations
- JapanIrelandSouth Korea
In The Last Decade
Kenji Takeda
41 papers receiving 668 citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 228
- Aging 144
- Endocrine and Autonomic Systems 110
- Cardiology and Cardiovascular Medicine 92
- Genetics 64
Countries citing papers authored by Kenji Takeda
This map shows the geographic impact of Kenji Takeda'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 Kenji Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Takeda more than expected).
Fields of papers citing papers by Kenji Takeda
This network shows the impact of papers produced by Kenji Takeda. 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 Kenji Takeda. The network helps show where Kenji Takeda may publish in the future.
Co-authorship network of co-authors of Kenji Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Takeda. A scholar is included among the top collaborators of Kenji Takeda 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 Kenji Takeda. Kenji Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 7 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | International Conference on 3D Materials Science | 2 |
| 11 | 13 | |
| 12 | Imbalance of sex hormone levels in men with coronary artery disease. | 11 |
| 13 | 27 | |
| 14 | 18 | |
| 15 | 27 | |
| 16 | 129 | |
| 17 | 20 | |
| 18 | 107 | |
| 19 | 22 | |
| 20 | 22 |
About Kenji Takeda
Kenji Takeda is a scholar working on Aging, Clinical Biochemistry and Pharmacology, having authored 41 papers that have together received 708 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Advanced Glycation End Products research (4 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (144 citations), Endocrine and Autonomic Systems (110 citations) and Clinical Biochemistry (36 citations). Kenji Takeda has collaborated with scholars based in Japan, Ireland and South Korea. Frequent co-authors include Yoh Wada, Masamitsu Futai, Yoshihiro Sambongi, Yoshifumi Ninomiya, Takao Yoshimizu, Yanna Liu, Makoto Nakahama, Masayuki Doi, Takefumi Oka and Takashi Murakami. Their work appears in journals such as Biochemical and Biophysical Research Communications, European Heart Journal and The Journal of Organic Chemistry.
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.