Akio Takimoto
- Molecular Biology
- Biotechnology top 2%
- Organic Chemistry top 10%
- Oncology
- Biochemistry top 5%
- Co-authors
- Shigeo YagiShin‐Ichiro NishimuraKenji MitsushimaTomoaki TakakuraRobert M. HoffmanHirosato KondoMasataka FumotoTakaomi Ito
- Topics
- Glycosylation and Glycoproteins Research (8 papers)Cancer Research and Treatments (8 papers)Amino Acid Enzymes and Metabolism (5 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionApplied and Environmental Microbiology
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Akio Takimoto
36 papers receiving 928 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 532
- Biotechnology 312
- Organic Chemistry 200
- Oncology 145
- Biochemistry 138
Countries citing papers authored by Akio Takimoto
This map shows the geographic impact of Akio Takimoto'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 Akio Takimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Takimoto more than expected).
Fields of papers citing papers by Akio Takimoto
This network shows the impact of papers produced by Akio Takimoto. 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 Akio Takimoto. The network helps show where Akio Takimoto may publish in the future.
Co-authorship network of co-authors of Akio Takimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Akio Takimoto. A scholar is included among the top collaborators of Akio Takimoto 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 Akio Takimoto. Akio Takimoto 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 | 11 | |
| 3 | 66 | |
| 4 | 51 | |
| 5 | 61 | |
| 6 | 108 | |
| 7 | 35 | |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 56 | |
| 11 | 16 | |
| 12 | 38 | |
| 13 | In vivo efficacy of recombinant methioninase is enhanced by the combination of polyethylene glycol conjugation and pyridoxal 5'-phosphate supplementation. | 81 |
| 14 | 7 | |
| 15 | 68 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 29 | |
| 20 | Purification and Properties of Aminopeptidase from Flavobacterium sp. | 1 |
About Akio Takimoto
Akio Takimoto is a scholar working on Biotechnology, Biochemistry and Oncology, having authored 38 papers that have together received 957 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Cancer Research and Treatments (8 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Biotechnology (312 citations), Biochemistry (138 citations) and Molecular Biology (532 citations). Akio Takimoto has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Shigeo Yagi, Shin‐Ichiro Nishimura, Kenji Mitsushima, Tomoaki Takakura, Robert M. Hoffman, Hirosato Kondo, Masataka Fumoto, Takaomi Ito, Kenji Inagaki and Nobuyoshi Esaki. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Applied and Environmental Microbiology.
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.