Teiichi Tanimura

5.2k total citations · 1 hit paper
96 papers, 3.9k citations indexed

About

Teiichi Tanimura is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Teiichi Tanimura has authored 96 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Cellular and Molecular Neuroscience, 24 papers in Molecular Biology and 24 papers in Genetics. Recurrent topics in Teiichi Tanimura's work include Neurobiology and Insect Physiology Research (63 papers), Insect and Arachnid Ecology and Behavior (19 papers) and Circadian rhythm and melatonin (18 papers). Teiichi Tanimura is often cited by papers focused on Neurobiology and Insect Physiology Research (63 papers), Insect and Arachnid Ecology and Behavior (19 papers) and Circadian rhythm and melatonin (18 papers). Teiichi Tanimura collaborates with scholars based in Japan, Germany and France. Teiichi Tanimura's co-authors include Akira Matsumoto, Frédéric Marion‐Poll, Makoto Hiroi, Diana Weil, Mario Raviǵlione, Ernesto Jaramillo, Knut Lönnroth, Nicolas Meunier, Hiroshi Ishimoto and Michiko Fujita and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Teiichi Tanimura

96 papers receiving 3.8k citations

Hit Papers

Financial burden for tuberculosis patients in low- and mi... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teiichi Tanimura Japan 33 2.4k 952 856 803 747 96 3.9k
Scott D. Pletcher United States 41 1.7k 0.7× 1.2k 1.3× 2.0k 2.3× 1.1k 1.4× 1.1k 1.5× 92 7.0k
Wayne A. Johnson United States 27 1.3k 0.5× 296 0.3× 1.2k 1.4× 544 0.7× 175 0.2× 68 2.8k
Coral G. Warr Australia 23 3.1k 1.3× 1.9k 2.0× 607 0.7× 1.5k 1.9× 84 0.1× 50 3.9k
Klaus W. Beyenbach United States 38 1.9k 0.8× 1.1k 1.1× 1.8k 2.1× 516 0.6× 85 0.1× 101 4.1k
Makio Takeda Japan 34 1.5k 0.6× 1.4k 1.5× 1.3k 1.5× 993 1.2× 516 0.7× 211 4.2k
William W. Ja United States 30 973 0.4× 906 1.0× 975 1.1× 404 0.5× 355 0.5× 59 3.1k
Mingyao Yang China 34 1.1k 0.4× 421 0.4× 2.5k 2.9× 577 0.7× 281 0.4× 110 4.4k
Donald L Riddle United States 46 534 0.2× 468 0.5× 4.6k 5.4× 1.0k 1.3× 3.2k 4.3× 115 10.9k
Hironori Ishizaki Japan 34 2.4k 1.0× 1.3k 1.3× 969 1.1× 914 1.1× 224 0.3× 95 3.2k
Pierre Escoubas France 37 878 0.4× 1.1k 1.1× 3.4k 4.0× 2.4k 3.0× 115 0.2× 94 5.1k

Countries citing papers authored by Teiichi Tanimura

Since Specialization
Citations

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

Fields of papers citing papers by Teiichi Tanimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teiichi Tanimura

This figure shows the co-authorship network connecting the top 25 collaborators of Teiichi Tanimura. A scholar is included among the top collaborators of Teiichi Tanimura 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 Teiichi Tanimura. Teiichi Tanimura 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.
Kamikouchi, Azusa, et al.. (2019). Softness sensing and learning inDrosophilalarvae. Journal of Experimental Biology. 222(Pt 7). 8 indexed citations
2.
Fraichard, Stéphane, et al.. (2019). A conserved odorant binding protein is required for essential amino acid detection in Drosophila. Communications Biology. 2(1). 425–425. 27 indexed citations
3.
Itoh, Taichi Q., et al.. (2017). Deciphering the Genes for Taste Receptors for Fructose in Drosophila. Molecules and Cells. 40(10). 731–736. 9 indexed citations
4.
5.
Ryuda, Masasuke, Ayumi Yamada, Frédéric Marion‐Poll, et al.. (2013). Gustatory Sensing Mechanism Coding for Multiple Oviposition Stimulants in the Swallowtail Butterfly,Papilio Xuthus. Journal of Neuroscience. 33(3). 914–924. 21 indexed citations
6.
Knapek, Stephan, Michiko Fujita, Lasse B. Bräcker, et al.. (2013). Suppression of Conditioned Odor Approach by Feeding Is Independent of Taste and Nutritional Value in Drosophila. Current Biology. 23(7). 631–631. 1 indexed citations
7.
Itoh, Taichi Q., Teiichi Tanimura, & Akira Matsumoto. (2011). Membrane-bound transporter controls the circadian transcription of clock genes in Drosophila. Genes to Cells. 16(12). 1159–1167. 25 indexed citations
8.
Tao, Kai, et al.. (2010). Bio-conversion of soft cellulosic resources into sugar and ethanol.. 88(2). 66–72. 6 indexed citations
9.
Ryuda, Masasuke, Kimio Shimada, Ryo Koyanagi, et al.. (2008). Analysis of Hunger-Driven Gene Expression in the Drosophila melanogaster Larval Central Nervous System. ZOOLOGICAL SCIENCE. 25(7). 746–752. 5 indexed citations
10.
Matsumoto, Akira, Maki Ukai‐Tadenuma, Rikuhiro G. Yamada, et al.. (2007). A functional genomics strategy reveals clockwork orange as a transcriptional regulator in the Drosophila circadian clock. Genes & Development. 21(13). 1687–1700. 137 indexed citations
11.
Ishimoto, Hiroshi & Teiichi Tanimura. (2004). Molecular neurophysiology of taste in Drosophila. Cellular and Molecular Life Sciences. 61(1). 10–18. 47 indexed citations
12.
Miyatake, Takahisa, et al.. (2002). Theperiodgene and allochronic reproductive isolation inBactrocera cucurbitae. Proceedings of the Royal Society B Biological Sciences. 269(1508). 2467–2472. 63 indexed citations
13.
Hiroi, Makoto, Frédéric Marion‐Poll, & Teiichi Tanimura. (2002). Differentiated Response to Sugars among Labellar Chemosensilla in Drosophila. ZOOLOGICAL SCIENCE. 19(9). 1009–1018. 146 indexed citations
14.
Ishimoto, Hiroshi, Akihiro Matsumoto, & Teiichi Tanimura. (2000). Molecular Identification of a Taste Receptor Gene for Trehalose in Drosophila. Seibutsu Butsuri. 40(supplement). S212–S212. 5 indexed citations
15.
Ishikawa, Tomoko, Akira Matsumoto, Tomohisa Kato, et al.. (1999). DCRY is a Drosophila photoreceptor protein implicated in light entrainment of circadian rhythm. Genes to Cells. 4(1). 57–65. 68 indexed citations
16.
Yoshikawa, Shingo, Teiichi Tanimura, Atsushi Miyawaki, et al.. (1992). Molecular cloning and characterization of the inositol 1,4,5-triphosphate receptor in Drosophila melanogaster. Neuroscience Research Supplements. 17. 140–140. 4 indexed citations
17.
Kihara, Takahide, et al.. (1989). Effects of prenatal vinblastine exposure on behavior and function in postnatal rats : Abstracts of Papers Presented at the 29th Annual Meeting of the Japanese Teratology Society, Yamagata, Japan July 13 - 14. Congenital Anomalies. 29(3). 252–253. 1 indexed citations
18.
Tanimura, Teiichi, Kunio Isono, & M Yamamoto. (1988). Taste sensitivity to trehalose and its alteration by gene dosage in Drosophila melanogaster.. Genetics. 119(2). 399–406. 22 indexed citations
19.
Shimada, Ichio & Teiichi Tanimura. (1981). Stereospecificity of multiple receptor sites in a labellar sugar receptor of the fleshfly for amino acids and small peptides.. The Journal of General Physiology. 77(1). 23–39. 26 indexed citations
20.
Tanimura, Teiichi, S. Nishimura, & Tomohiko Nakamura. (1952). On the vole bacillus. 3(2). 373–382. 1 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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