Jin Támaoka
- Molecular Biology top 2%
- Ecology top 0.5%
- Plant Science top 5%
- Biotechnology top 0.5%
- Cell Biology top 5%
- Co-authors
- Kazuo KomagataYoko Katayama-FujimuraHiroshi KuraishiChiaki KatoLina LiKoki HorikoshiK. KomagataTeizi Urakami
- Topics
- Microbial Community Ecology and Physiology (8 papers)Genomics and Phylogenetic Studies (8 papers)DNA and Nucleic Acid Chemistry (4 papers)
- Cited by
- MicrobiologyEcologyBiotechnology
- Journals
- Applied and Environmental MicrobiologyMethods in enzymology on CD-ROM/Methods in enzymologyPlant Physiology and Biochemistry
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Jin Támaoka
24 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 3.7k
- Ecology 2.1k
- Plant Science 806
- Biotechnology 569
- Cell Biology 445
Countries citing papers authored by Jin Támaoka
This map shows the geographic impact of Jin Támaoka'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 Jin Támaoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Támaoka more than expected).
Fields of papers citing papers by Jin Támaoka
This network shows the impact of papers produced by Jin Támaoka. 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 Jin Támaoka. The network helps show where Jin Támaoka may publish in the future.
Co-authorship network of co-authors of Jin Támaoka
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Támaoka. A scholar is included among the top collaborators of Jin Támaoka 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 Jin Támaoka. Jin Támaoka 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 | 35 | |
| 3 | 29 | |
| 4 | 72 | |
| 5 | 204 | |
| 6 | 4 | |
| 7 | 191 | |
| 8 | 124 | |
| 9 | Determination of DNA Base Composition | 111 |
| 10 | 11 | |
| 11 | 70 | |
| 12 | 16 | |
| 13 | 167 | |
| 14 | 131 | |
| 15 | 52 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 190 | |
| 19 | Determination of DNA base composition by reversed-phase high-performance liquid chromatographybreakdown → | 2351 |
| 20 | Analysis of bacterial menaquinone mixtures by high performance liquid chromatographybreakdown → | 630 |
About Jin Támaoka
Jin Támaoka is a scholar working on Filtration and Separation, Environmental Chemistry and Ecology, having authored 25 papers that have together received 4.5k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (8 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Microbiology (211 citations), Ecology (2.1k citations) and Biotechnology (569 citations). Jin Támaoka has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Kazuo Komagata, Yoko Katayama-Fujimura, Hiroshi Kuraishi, Chiaki Kato, Lina Li, Koki Horikoshi, K. Komagata, Teizi Urakami, Yuichi Nogi and Yuka Nakamura. Their work appears in journals such as Applied and Environmental Microbiology, Methods in enzymology on CD-ROM/Methods in enzymology and Plant Physiology and Biochemistry.
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.