Kenji Sakai
- Molecular Biology top 5%
- Biomedical Engineering top 5%
- Physiology top 5%
- Biotechnology top 1%
- Neurology top 5%
- Co-authors
- Mitsuaki MoriguchiTakaaki TanakaMasayuki TaniguchiMasahito YamadaMamoru WakayamaKazuhiro HoshinoDaisuke WatanabeHiroyuki Suzuki
- Topics
- Amino Acid Enzymes and Metabolism (20 papers)Alzheimer's disease research and treatments (14 papers)Enzyme Production and Characterization (13 papers)
- Cited by
- BiotechnologyBiochemistryNeurology
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Kenji Sakai
194 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 160
- Molecular Biology 1.5k
- Biomedical Engineering 696
- Physiology 371
- Biotechnology 365
- Neurology 363
Countries citing papers authored by Kenji Sakai
This map shows the geographic impact of Kenji Sakai'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 Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Sakai more than expected).
Fields of papers citing papers by Kenji Sakai
This network shows the impact of papers produced by Kenji Sakai. 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 Sakai. The network helps show where Kenji Sakai may publish in the future.
Co-authorship network of co-authors of Kenji Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Sakai. A scholar is included among the top collaborators of Kenji Sakai 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 Sakai. Kenji Sakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 16 | |
| 3 | Studies on highly functional fermented-products made from unutilized biomass resources by thermophilic bacteria | 1 |
| 4 | 95 | |
| 5 | 8 | |
| 6 | 34 | |
| 7 | Statistical screening of factors affecting glucoamylase production by a thermotolerant Rhizopus microsporus TISTR 3518 using Plackett-Burman design | 8 |
| 8 | 73 | |
| 9 | 32 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 23 | |
| 13 | 317 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 12 | |
| 18 | Clinical efficacy of MK-733 (Simvastatin) in long-term treatment with familial hypercholesterolemia. | 1 |
| 19 | 60 | |
| 20 | 14 |
About Kenji Sakai
Kenji Sakai is a scholar working on Biochemistry, Neurology and Biotechnology, having authored 206 papers that have together received 3.8k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (20 papers), Alzheimer's disease research and treatments (14 papers) and Enzyme Production and Characterization (13 papers). The work is most often cited by research in Biotechnology (365 citations), Biochemistry (230 citations) and Neurology (210 citations). Kenji Sakai has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Mitsuaki Moriguchi, Takaaki Tanaka, Masayuki Taniguchi, Masahito Yamada, Mamoru Wakayama, Kazuhiro Hoshino, Daisuke Watanabe, Hiroyuki Suzuki, Yasushi Abiko and Tsuyoshi Hamaguchi. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Gastroenterology.
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.