Jin Támaoka

5.0k total citations · 2 hit papers
25 papers, 4.5k citations indexed

About

Jin Támaoka is a scholar working on Molecular Biology, Ecology and Environmental Chemistry. According to data from OpenAlex, Jin Támaoka has authored 25 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Ecology and 4 papers in Environmental Chemistry. Recurrent topics in Jin Támaoka's work include Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (8 papers) and DNA and Nucleic Acid Chemistry (4 papers). Jin Támaoka is often cited by papers focused on Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (8 papers) and DNA and Nucleic Acid Chemistry (4 papers). Jin Támaoka collaborates with scholars based in Japan, Germany and United Kingdom. Jin Támaoka's 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 and has published in prestigious journals such as Applied and Environmental Microbiology, Methods in enzymology on CD-ROM/Methods in enzymology and Plant Physiology and Biochemistry.

In The Last Decade

Jin Támaoka

24 papers receiving 4.3k citations

Hit Papers

Determination of DNA base composition by reversed-phase h... 1983 2026 1997 2011 1984 1983 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jin Támaoka Japan 17 3.7k 2.1k 806 569 445 25 4.5k
USHA PREMACHANDRAN United States 10 4.2k 1.1× 2.6k 1.2× 947 1.2× 567 1.0× 416 0.9× 10 4.8k
Kyung Sook Bae South Korea 37 2.5k 0.7× 1.5k 0.7× 942 1.2× 764 1.3× 323 0.7× 131 3.9k
Hiroaki Kasai Japan 35 2.4k 0.7× 1.5k 0.7× 685 0.8× 596 1.0× 238 0.5× 119 4.1k
M.D. Collins United Kingdom 16 3.9k 1.1× 1.9k 0.9× 1.1k 1.3× 426 0.7× 541 1.2× 23 4.5k
Amrita Pati United States 24 2.9k 0.8× 1.8k 0.9× 867 1.1× 356 0.6× 112 0.3× 99 4.4k
Yu‐Guang Zhou China 33 2.2k 0.6× 1.6k 0.7× 722 0.9× 467 0.8× 365 0.8× 172 3.4k
Tae-Kwang Oh South Korea 36 2.8k 0.8× 1.4k 0.6× 547 0.7× 516 0.9× 143 0.3× 108 3.7k
Qiliang Lai China 33 2.8k 0.8× 2.6k 1.2× 455 0.6× 500 0.9× 158 0.4× 263 4.6k
Ch. V. Ramana India 29 2.2k 0.6× 1.7k 0.8× 397 0.5× 380 0.7× 150 0.3× 219 3.4k
John P. Morrissey Ireland 45 3.5k 0.9× 683 0.3× 2.1k 2.7× 703 1.2× 293 0.7× 115 6.3k

Countries citing papers authored by Jin Támaoka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Sato, Nobuya, Masato Uehara, Jin Támaoka, et al.. (2006). Target selection by similarity preserve hash in distributed system for geographical origin identification of vegetables. 5. 6 pp.–178. 1 indexed citations
2.
Támaoka, Jin, et al.. (2005). Ethylene induced shikonin biosynthesis in shoot culture of Lithospermum erythrorhizon. Plant Physiology and Biochemistry. 43(2). 101–105. 35 indexed citations
4.
Kato, Chiaki, Lina Li, Yuichi Nogi, et al.. (1998). Extremely Barophilic Bacteria Isolated from the Mariana Trench, Challenger Deep, at a Depth of 11,000 Meters. Applied and Environmental Microbiology. 64(4). 1510–1513. 204 indexed citations
5.
Támaoka, Jin, et al.. (1998). Taxonomy and biotransformation activities of some deep-sea actinomycetes. Extremophiles. 2(3). 269–277. 72 indexed citations
6.
Kato, Chieko, et al.. (1998). Properties of Hyper-Barophilic Bacteria Isolated from the Mariana Trench at a Depth of 11,000m.. The Review of High Pressure Science and Technology. 7. 1274–1276. 4 indexed citations
7.
Grau, Juan Miguel González, Y. Masuchi, Frank T. Robb, et al.. (1998). Pyrococcus horikoshii sp. nov., a hyperthermophilic archaeon isolated from a hydrothermal vent at the Okinawa Trough. Extremophiles. 2(2). 123–130. 191 indexed citations
8.
Kato, Chiaki, Lina Li, Jin Támaoka, & Koki Horikoshi. (1997). Molecular analyses of the sediment of the 11000-m deep Mariana Trench. Extremophiles. 1(3). 117–123. 124 indexed citations
9.
Támaoka, Jin. (1994). Determination of DNA Base Composition. Medical Entomology and Zoology. 111 indexed citations
10.
SAKAMOTO, Yuichiro, et al.. (1992). Analysis of the flagellin (hag) gene of alkalophilic Bacillus sp. C-125. Journal of General Microbiology. 138(10). 2159–2166. 11 indexed citations
11.
Urakami, Teizi, Jin Támaoka, Ken‐ichiro Suzuki, & Kazuo Komagata. (1989). Acidomonas gen. nov., Incorporating Acetobacter methanolicus as Acidomonas methanolica comb. nov.. International Journal of Systematic Bacteriology. 39(1). 50–55. 70 indexed citations
12.
Yamamoto, Nobuhiko, S Sato, Kazuki Saito, et al.. (1988). Rarobacter faecitabidus gen. nov., sp. nov., a Yeast-Lysing Coryneform Bacterium. International Journal of Systematic Bacteriology. 38(1). 7–11. 16 indexed citations
14.
Támaoka, Jin. (1986). [26] Analysis of bacterial menaquinone mixtures by reverse-phase high-performance liquid chromatography. Methods in enzymology on CD-ROM/Methods in enzymology. 123. 251–256. 131 indexed citations
15.
Kaneko, Takichi, et al.. (1986). Determination of the nucleotide composition of a deoxyribonucleic acid by high-performance liquid chromatography of its enzymatic hydrlysate: a review. Journal of Microbiological Methods. 4(5-6). 229–240. 52 indexed citations
16.
Támaoka, Jin, Kazuo Komagata, Takeshi Kinoshita, et al.. (1985). Methylubiquinone, a new isoprenoid quinone in methane-oxidizing bacterium strain H-2. FEMS Microbiology Letters. 29(1-2). 151–154. 7 indexed citations
17.
Támaoka, Jin. (1985). Methylubiquinone, a new isoprenoid quinone in methane-oxidizing bacterium strain H-2. FEMS Microbiology Letters. 29(1-2). 151–154. 1 indexed citations
18.
Támaoka, Jin. (1984). Determination of DNA base composition by reversed-phase high-performance liquid chromatography. FEMS Microbiology Letters. 25(1). 125–128. 190 indexed citations
19.
Támaoka, Jin & Kazuo Komagata. (1984). Determination of DNA base composition by reversed-phase high-performance liquid chromatography. FEMS Microbiology Letters. 25(1). 125–128. 2351 indexed citations breakdown →
20.
Támaoka, Jin, Yoko Katayama-Fujimura, & Hiroshi Kuraishi. (1983). Analysis of bacterial menaquinone mixtures by high performance liquid chromatography. Journal of Applied Bacteriology. 54(1). 31–36. 630 indexed citations breakdown →

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.

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