Tomotsune Ameku

711 total citations
10 papers, 434 citations indexed

About

Tomotsune Ameku is a scholar working on Cellular and Molecular Neuroscience, Immunology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tomotsune Ameku has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Immunology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tomotsune Ameku's work include Neurobiology and Insect Physiology Research (10 papers), Invertebrate Immune Response Mechanisms (6 papers) and Animal Behavior and Reproduction (4 papers). Tomotsune Ameku is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Invertebrate Immune Response Mechanisms (6 papers) and Animal Behavior and Reproduction (4 papers). Tomotsune Ameku collaborates with scholars based in Japan, United Kingdom and United States. Tomotsune Ameku's co-authors include Ryusuke Niwa, Outa Uryu, Yuto Yoshinari, Shu Kondo, Yuko Shimada‐Niwa, Masatoshi Iga, Tetsuro Shinoda, Hiroshi Kataoka, Sora Enya and Michael J. Texada and has published in prestigious journals such as Nature, Scientific Reports and PLoS Biology.

In The Last Decade

Tomotsune Ameku

10 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomotsune Ameku Japan	10	302	143	137	123	110	10	434
Yuto Yoshinari Japan	9	185 0.6×	96 0.7×	146 1.1×	75 0.6×	101 0.9×	14	330
Aaron A. Baumann United States	8	277 0.9×	187 1.3×	212 1.5×	44 0.4×	119 1.1×	13	460
Célia Baltazar Portugal	9	159 0.5×	96 0.7×	175 1.3×	60 0.5×	173 1.6×	10	554
Wencke Reiher Germany	7	236 0.8×	120 0.8×	87 0.6×	86 0.7×	57 0.5×	7	320
Ricardo Leitão-Gonçalves United States	5	218 0.7×	84 0.6×	215 1.6×	71 0.6×	204 1.9×	5	600
Kah Junn Tan Singapore	5	199 0.7×	99 0.7×	100 0.7×	82 0.7×	46 0.4×	5	280
Ji-da Dai United States	10	303 1.0×	117 0.8×	144 1.1×	57 0.5×	131 1.2×	14	386
Julianna Bozler United States	12	132 0.4×	85 0.6×	103 0.8×	75 0.6×	141 1.3×	12	338
Tuhin S. Chakraborty United States	9	252 0.8×	133 0.9×	123 0.9×	30 0.2×	40 0.4×	11	327
Valerie P. Pollock United Kingdom	9	488 1.6×	172 1.2×	219 1.6×	185 1.5×	187 1.7×	11	656

Countries citing papers authored by Tomotsune Ameku

Since Specialization

Citations

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

Fields of papers citing papers by Tomotsune Ameku

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomotsune Ameku

This figure shows the co-authorship network connecting the top 25 collaborators of Tomotsune Ameku. A scholar is included among the top collaborators of Tomotsune Ameku 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 Tomotsune Ameku. Tomotsune Ameku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Gaspar, Pedro, Oleh Lushchak, Agata P. Zielinska, et al.. (2024). The sex of organ geometry. Nature. 630(8016). 392–400. 10 indexed citations

Yoshinari, Yuto, Tomotsune Ameku, Shu Kondo, et al.. (2020). Neuronal octopamine signaling regulates mating-induced germline stem cell increase in female Drosophila melanogaster. eLife. 9. 29 indexed citations

Hadjieconomou, Dafni, George A. King, Pedro Gaspar, et al.. (2020). Enteric neurons increase maternal food intake during reproduction. Nature. 587(7834). 455–459. 61 indexed citations

Ameku, Tomotsune, et al.. (2020). Food, microbes, sex and old age: on the plasticity of gastrointestinal innervation. Current Opinion in Neurobiology. 62. 83–91. 9 indexed citations

Ameku, Tomotsune, Yuto Yoshinari, Michael J. Texada, et al.. (2018). Midgut-derived neuropeptide F controls germline stem cell proliferation in a mating-dependent manner. PLoS Biology. 16(9). e2005004–e2005004. 61 indexed citations

Yoshinari, Yuto, et al.. (2018). Endocrine regulation of female germline stem cells in the fruit fly Drosophila melanogaster. Current Opinion in Insect Science. 31. 14–19. 11 indexed citations

Ameku, Tomotsune, et al.. (2017). Ovarian ecdysteroid biosynthesis and female germline stem cells. Fly. 11(3). 185–193. 30 indexed citations

Ameku, Tomotsune & Ryusuke Niwa. (2016). Mating-Induced Increase in Germline Stem Cells via the Neuroendocrine System in Female Drosophila. PLoS Genetics. 12(6). e1006123–e1006123. 67 indexed citations

Uryu, Outa, Tomotsune Ameku, & Ryusuke Niwa. (2015). Recent progress in understanding the role of ecdysteroids in adult insects: Germline development and circadian clock in the fruit fly Drosophila melanogaster. Zoological Letters. 1(1). 32–32. 78 indexed citations

10.

Enya, Sora, Tomotsune Ameku, Masatoshi Iga, et al.. (2014). A Halloween gene noppera-bo encodes a glutathione S-transferase essential for ecdysteroid biosynthesis via regulating the behaviour of cholesterol in Drosophila. Scientific Reports. 4(1). 6586–6586. 78 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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