Toshiro Aigaki

7.3k total citations · 1 hit paper
138 papers, 5.5k citations indexed

About

Toshiro Aigaki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Aging. According to data from OpenAlex, Toshiro Aigaki has authored 138 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 54 papers in Cellular and Molecular Neuroscience and 18 papers in Aging. Recurrent topics in Toshiro Aigaki's work include Neurobiology and Insect Physiology Research (50 papers), Genetics, Aging, and Longevity in Model Organisms (18 papers) and Developmental Biology and Gene Regulation (16 papers). Toshiro Aigaki is often cited by papers focused on Neurobiology and Insect Physiology Research (50 papers), Genetics, Aging, and Longevity in Model Organisms (18 papers) and Developmental Biology and Gene Regulation (16 papers). Toshiro Aigaki collaborates with scholars based in Japan, United States and Switzerland. Toshiro Aigaki's co-authors include Takashi Matsuo, Manabu Tsuda, Minoru Osanai, Hiroko Kasuga, Ki‐Hyeon Seong, Satomi Takeo, P.S. Chen, Marianne Bienz, Elisabeth Stumm‐Zollinger and Peter Böhlen and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Toshiro Aigaki

136 papers receiving 5.4k citations

Hit Papers

A male accessory gland peptide that regulates reproductiv... 1988 2026 2000 2013 1988 100 200 300 400 500

Peers

Toshiro Aigaki
Christopher J. Potter United States
Mary Bownes United Kingdom
Shu Kondo Japan
Paul Garrity United States
Africa Couto United Kingdom
James W. Fristrom United States
Ryu Ueda Japan
Christopher J. Potter United States
Toshiro Aigaki
Citations per year, relative to Toshiro Aigaki Toshiro Aigaki (= 1×) peers Christopher J. Potter

Countries citing papers authored by Toshiro Aigaki

Since Specialization
Citations

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

Fields of papers citing papers by Toshiro Aigaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiro Aigaki

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiro Aigaki. A scholar is included among the top collaborators of Toshiro Aigaki 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 Toshiro Aigaki. Toshiro Aigaki 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.
Tsuda, Manabu, et al.. (2025). Epoxide hydrolases JHEH1 and JHEH2 deficiency impairs glucose metabolism in Drosophila. Biochemical and Biophysical Research Communications. 748. 151313–151313. 1 indexed citations
2.
Mânica-Cattani, Maria Fernanda, et al.. (2025). Characterization of a Drosophila model to study functions of guarana seeds. PLoS ONE. 20(7). e0328985–e0328985.
3.
Kubo, Shuichi, Akinori Tokunaga, Hiroaki Nabeka, et al.. (2021). Inhibition of low-density lipoprotein uptake by Helicobacter pylori virulence factor CagA. Biochemical and Biophysical Research Communications. 556. 192–198. 11 indexed citations
4.
Tada, Seiichi, et al.. (2020). Instantaneous detection of αs-casein in cow's milk using fluorogenic peptide aptamers. Analytical Methods. 12(10). 1368–1373. 11 indexed citations
5.
Assmann, Charles Elias, Francine Carla Cadoná, Alencar Kolinski Machado, et al.. (2019). Guarana improves behavior and inflammatory alterations triggered by methylmercury exposure: an in vivo fruit fly and in vitro neural cells study. Environmental Science and Pollution Research. 26(15). 15069–15083. 19 indexed citations
6.
Suga, Kanako, Takashi Isoshima, Toshiro Aigaki, et al.. (2018). Wash-free and selective imaging of epithelial cell adhesion molecule (EpCAM) expressing cells with fluorogenic peptide ligands. Biochemical and Biophysical Research Communications. 500(2). 283–287. 6 indexed citations
7.
Tada, Seiichi, Li Zhu, Takanori Uzawa, et al.. (2018). In vitro selection of electrochemical peptide probes using bioorthogonal tRNA for influenza virus detection. Chemical Communications. 54(41). 5201–5204. 10 indexed citations
8.
Miyatake, Hideyuki, et al.. (2018). Thiophene-Conjugated Ligand Probe for Nonenzymatic Turn-On Electrochemical Protein Detection. Analytical Chemistry. 90(19). 11179–11182. 2 indexed citations
9.
Aigaki, Toshiro, et al.. (2013). A novel classification system for evolutionary aging theories. Frontiers in Genetics. 4. 25–25. 31 indexed citations
10.
Wang, Wei, Takanori Uzawa, N. Tochio, et al.. (2013). A fluorogenic peptide probe developed by in vitro selection using tRNA carrying a fluorogenic amino acid. Chemical Communications. 50(22). 2962–2964. 25 indexed citations
11.
Aigaki, Toshiro, et al.. (2012). Cationic cholesterol-modified gelatin as an in vitro siRNA delivery vehicle. Molecular BioSystems. 9(5). 965–968. 7 indexed citations
12.
Taniguchi, Kiichiro, Shunya Hozumi, Reo Maeda, et al.. (2007). D-JNK signaling in visceral muscle cells controls the laterality of the Drosophila gut. Developmental Biology. 311(1). 251–263. 20 indexed citations
13.
Tsuda, Leo, Masako Kaido, Young‐Mi Lim, et al.. (2006). An NRSF/REST‐like repressor downstream of Ebi/SMRTER/Su(H) regulates eye development in Drosophila. The EMBO Journal. 25(13). 3191–3202. 46 indexed citations
14.
Matsuno, Kuniharu, Naoyuki Taniguchi, Kazuo Noda, et al.. (2004). Neurotic, a GDP-fucose O-fucosyltransferase, regulates Notch turnover and endocytic transportation independently of its enzymatic activity.. Glycobiology. 14(11). 1065–1066. 1 indexed citations
15.
Katsuyama, Tomonori, Tamaki Yano, Yoshiteru Oshima, et al.. (2002). Overexpression of a pattern-recognition receptor, peptidoglycan-recognition protein-LE, activates imd/relish-mediated antibacterial defense and the prophenoloxidase cascade in Drosophila larvae. Proceedings of the National Academy of Sciences. 99(21). 13705–13710. 278 indexed citations
16.
Takasu, Etsuko, et al.. (2002). Forked end: a novel transmembrane protein involved in neuromuscular specificity in drosophila identified by gain‐of‐function screening. Journal of Neurobiology. 51(3). 205–214. 10 indexed citations
17.
Aigaki, Toshiro, et al.. (1995). BIOLOGICAL ACTIVITY OF DROSOPHILA SEX-PEPTIDE EXPRESSED IN E. COLI.. The Japanese Journal of Genetics. 70(6). 739. 1 indexed citations
18.
Osanai, Minoru, Hiroko Kasuga, & Toshiro Aigaki. (1987). The spermatophore and its structural changes with time in the bursa copulatrix of the silkworm, Bombyx mori. Journal of Morphology. 193(1). 1–11. 34 indexed citations
19.
Aigaki, Toshiro & Minoru Osanai. (1984). BI34 PURIFICATION OF ARGINASE FROM THE SILKMOTH, BOMBYX MORI.(Biochemistry)(Proceedings of the Fifty-Fifth Annual Meeting of the Zoological Society of Japan). ZOOLOGICAL SCIENCE. 1(6). 911. 1 indexed citations
20.
Osanai, Minoru & Toshiro Aigaki. (1984). Sex and strain differences in arginase activity of the adult silkworm, Bombyx mori. Nihon sanshigaku zasshi. 53(6). 519–526. 10 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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