Ken Tanaka

6.4k total citations
157 papers, 3.2k citations indexed

About

Ken Tanaka is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Ken Tanaka has authored 157 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 37 papers in Plant Science and 35 papers in Pharmacology. Recurrent topics in Ken Tanaka's work include Natural product bioactivities and synthesis (34 papers), Phytochemistry and Biological Activities (19 papers) and Pharmacological Effects of Natural Compounds (15 papers). Ken Tanaka is often cited by papers focused on Natural product bioactivities and synthesis (34 papers), Phytochemistry and Biological Activities (19 papers) and Pharmacological Effects of Natural Compounds (15 papers). Ken Tanaka collaborates with scholars based in Japan, Indonesia and China. Ken Tanaka's co-authors include Yasuhiro Tezuka, Shigetoshi Kadota, Katsuko Komatsu, Michio Homma, Purusotam Basnet, Tsuneo Namba, Tohru Kikuchi, Kinzo Matsumoto, Mitsunobu Doi and Ariya Chindamporn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Ken Tanaka

151 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Tanaka Japan 34 1.3k 707 455 436 412 157 3.2k
María J. Tuñón Spain 35 1.2k 0.9× 440 0.6× 517 1.1× 243 0.6× 263 0.6× 101 4.3k
Yang Yu China 31 1.3k 1.0× 718 1.0× 315 0.7× 518 1.2× 490 1.2× 182 3.1k
Norio Nakamura Japan 31 1.4k 1.1× 726 1.0× 648 1.4× 621 1.4× 820 2.0× 152 3.8k
Jun Xu China 33 1.9k 1.5× 770 1.1× 486 1.1× 551 1.3× 538 1.3× 113 3.4k
Johan Louw South Africa 35 1.2k 1.0× 372 0.5× 280 0.6× 276 0.6× 192 0.5× 137 3.9k
Sérgio Akira Uyemura Brazil 37 1.4k 1.1× 588 0.8× 231 0.5× 143 0.3× 255 0.6× 111 3.7k
Dongmin Liu United States 47 2.2k 1.7× 493 0.7× 270 0.6× 285 0.7× 433 1.1× 113 6.9k
Li Han China 32 1.2k 0.9× 496 0.7× 342 0.8× 280 0.6× 789 1.9× 183 3.3k
Yuan‐Shiun Chang Taiwan 33 1.6k 1.3× 965 1.4× 690 1.5× 555 1.3× 533 1.3× 139 3.5k
Ailin Liu China 31 1.2k 0.9× 512 0.7× 359 0.8× 310 0.7× 578 1.4× 124 3.1k

Countries citing papers authored by Ken Tanaka

Since Specialization
Citations

This map shows the geographic impact of Ken Tanaka'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 Ken Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Tanaka more than expected).

Fields of papers citing papers by Ken Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Tanaka. 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 Ken Tanaka. The network helps show where Ken Tanaka may publish in the future.

Co-authorship network of co-authors of Ken Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Tanaka. A scholar is included among the top collaborators of Ken Tanaka 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 Ken Tanaka. Ken Tanaka 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.
Tanaka, Ken, et al.. (2025). Exogenous ethanol treatment promotes glycyrrhizin accumulation in aseptically grown Glycyrrhiza uralensis seedlings. Plant Signaling & Behavior. 20(1). 2472012–2472012. 2 indexed citations
2.
Watanabe, Shiro, et al.. (2024). Goreisan‐induced modulation of fecal bile acid composition and gut microbiota in mice. Traditional & Kampo Medicine. 11(1). 46–53. 1 indexed citations
3.
Bahar, Muh. Akbar, et al.. (2024). Rethinking the basic action modes of herbal medicine and pondering classical standardization. Journal of Herbmed Pharmacology. 13(2). 163–175. 2 indexed citations
4.
Sato, Ryo, et al.. (2024). Comprehensive Analysis of Sulfated Flavonoids in Eclipta prostrata for Quality Evaluation. Molecules. 29(20). 4888–4888. 2 indexed citations
5.
Iguchi, Akira, Nanami Mizusawa, Yoshikazu Ohno, et al.. (2024). Single-polyp metabolomics for coral health assessment. Scientific Reports. 14(1). 3369–3369. 2 indexed citations
6.
Tezuka, Yasuhiro, et al.. (2023). Simplified Practical Identification of Polyphenol Types in Natural Dietaries Based on 1D and 2D Nuclear Magnetic Resonance. Journal of Food and Nutrition Research. 11(12). 742–751. 1 indexed citations
7.
Komatsu, Katsuko, Kazufumi Toume, Shu Zhu, et al.. (2022). Essential oil composition of Curcuma species and drugs from Asia analyzed by headspace solid-phase microextraction coupled with gas chromatography–mass spectrometry. Journal of Natural Medicines. 77(1). 152–172. 5 indexed citations
8.
Tanaka, Ken, et al.. (2017). Development of Four-Axis 3D Printer with Fused Deposition Modeling Technology. International Journal of Automation Technology. 11(2). 278–286. 5 indexed citations
9.
Ono, Naoaki, Makoto Ihara, Hideyuki Suzuki, et al.. (2016). Selective regulation of pyrethrin biosynthesis by the specific blend of wound induced volatiles inTanacetum cinerariifolium. Plant Signaling & Behavior. 11(4). e1149675–e1149675. 6 indexed citations
10.
KOZUKI, Yasunori, et al.. (2015). GAME-BASED EVACUATION DRILL SYSTEM USING AR, HMD, AND 3DCG. INTED2015 Proceedings. 6688–6698. 1 indexed citations
11.
12.
Ono, Naoaki, Tetsuo Sato, Tadao Sugiura, et al.. (2015). Targeted Integration of RNA-Seq and Metabolite Data to Elucidate Curcuminoid Biosynthesis in Four Curcuma Species. Plant and Cell Physiology. 56(5). 843–851. 9 indexed citations
13.
Matsumoto, Kinzo, et al.. (2014). Antidepressant-like effect of Butea superba in mice exposed to chronic mild stress and its possible mechanism of action. Journal of Ethnopharmacology. 156. 16–25. 40 indexed citations
14.
Afendi, Farit Mochamad, Latifah Kosim Darusman, Md. Altaf‐Ul‐Amin, et al.. (2013). Efficacy Prediction of Jamu Formulations by PLS Modeling. Current Computer - Aided Drug Design. 9(1). 46–59. 9 indexed citations
15.
Tanaka, Ken, Daisuke Murakami, & Takashi SHIMOMURA. (2008). Examination of preferable green roof design by the landscape evaluation and the eye movement measurement in the case of Kyoto City.. Journal of the Japanese Society of Revegetation Technology. 34(1). 133–138. 4 indexed citations
16.
Tanaka, Ken, et al.. (2001). A STUDY ON THE BASE MAINTENANCE OF THE HOUSING AND EQUIPMENT FOR THE AGED. Journal of Architecture and Planning (Transactions of AIJ). 66(548). 201–206. 1 indexed citations
17.
Hasegawa, Naoya, et al.. (2000). Spin-Valve GMR Heads with Synthetic Ferrimagnet Free and Pinned Layers. 24(9). 1239–1245. 1 indexed citations
18.
Tanaka, Ken, et al.. (1993). Acid degradation studies of 6-deoxyerythromycin A.. The Journal of Antibiotics. 46(4). 698–700. 3 indexed citations
19.
Homma, Michio, Hiroji Chibana, & Ken Tanaka. (1993). Induction of extracellular proteinase in Candida albicans. Journal of General Microbiology. 139(6). 1187–1193. 26 indexed citations
20.
Tanaka, Ken, Tomio Inoue, S. Kadota, & Tohru Kikuchi. (1990). Metabolism of illudin S, a toxic principle ofLampteromyces japonicus, by rat liver. I. Isolation and identification of cyclopropane ring-cleavage metabolites. Xenobiotica. 20(7). 671–681. 15 indexed citations

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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