Yuko Shimada‐Niwa

985 total citations
16 papers, 655 citations indexed

About

Yuko Shimada‐Niwa is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Molecular Biology. According to data from OpenAlex, Yuko Shimada‐Niwa has authored 16 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 7 papers in Insect Science and 6 papers in Molecular Biology. Recurrent topics in Yuko Shimada‐Niwa's work include Neurobiology and Insect Physiology Research (13 papers), Insect Resistance and Genetics (5 papers) and Animal Behavior and Reproduction (4 papers). Yuko Shimada‐Niwa is often cited by papers focused on Neurobiology and Insect Physiology Research (13 papers), Insect Resistance and Genetics (5 papers) and Animal Behavior and Reproduction (4 papers). Yuko Shimada‐Niwa collaborates with scholars based in Japan, United States and Germany. Yuko Shimada‐Niwa's co-authors include Ryusuke Niwa, Shu Kondo, Satoru Kobayashi, Tetsuro Shinoda, Sora Enya, Hiroshi Kataoka, Yuto Yoshinari, Shuji Takahashi, Kensuke Shiomi and Yoshikazu Haramoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yuko Shimada‐Niwa

15 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuko Shimada‐Niwa Japan 11 432 234 212 172 126 16 655
Jean‐Philippe Charles France 10 582 1.3× 349 1.5× 287 1.4× 397 2.3× 154 1.2× 12 820
Е. К. Карпова Russia 17 472 1.1× 300 1.3× 73 0.3× 300 1.7× 110 0.9× 64 692
Yuko S. Niwa Japan 6 251 0.6× 160 0.7× 141 0.7× 120 0.7× 69 0.5× 6 395
Yu Kaneko Japan 11 435 1.0× 267 1.1× 184 0.9× 258 1.5× 100 0.8× 23 608
R.M. Wagner United States 17 453 1.0× 352 1.5× 240 1.1× 216 1.3× 91 0.7× 34 705
Masatoshi Iga Japan 17 566 1.3× 433 1.9× 439 2.1× 280 1.6× 116 0.9× 28 930
Andrea Bednářová Czechia 14 165 0.4× 274 1.2× 196 0.9× 130 0.8× 79 0.6× 23 594
Aaron T. Haselton United States 10 208 0.5× 190 0.8× 76 0.4× 77 0.4× 41 0.3× 15 382
Françoise Bozzolan France 18 530 1.2× 594 2.5× 451 2.1× 274 1.6× 126 1.0× 44 1.0k
Kenjiro Furuta Japan 10 243 0.6× 226 1.0× 138 0.7× 145 0.8× 63 0.5× 24 446

Countries citing papers authored by Yuko Shimada‐Niwa

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Shimada‐Niwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuko Shimada‐Niwa. 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 Yuko Shimada‐Niwa. The network helps show where Yuko Shimada‐Niwa may publish in the future.

Co-authorship network of co-authors of Yuko Shimada‐Niwa

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

All Works

16 of 16 papers shown
1.
Shimada‐Niwa, Yuko, Naoki Tani, Toshiya Senda, et al.. (2025). Parasitoid wasp venoms degrade Drosophila imaginal discs for successful parasitism. Science Advances. 11(5). eadq8771–eadq8771. 1 indexed citations
2.
Shimada‐Niwa, Yuko, et al.. (2022). Whole-genome sequencing analysis and protocol for RNA interference of the endoparasitoid waspAsobara japonica. DNA Research. 29(4). 4 indexed citations
3.
Shimada‐Niwa, Yuko, Shu Kondo, Hiromu Tanimoto, et al.. (2021). A population of neurons that produce hugin and express the diuretic hormone 44 receptor gene projects to the corpora allata in Drosophila melanogaster. Development Growth & Differentiation. 63(4-5). 249–261. 10 indexed citations
4.
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
5.
Seong, Ki‐Hyeon, et al.. (2020). The Drosophila Individual Activity Monitoring and Detection System (DIAMonDS). eLife. 9. 10 indexed citations
6.
Enya, Sora, Hirotatsu Kojima, Takayoshi Okabe, et al.. (2020). An integrated approach to unravel a crucial structural property required for the function of the insect steroidogenic Halloween protein Noppera-bo. Journal of Biological Chemistry. 295(20). 7154–7167. 16 indexed citations
7.
Shimada‐Niwa, Yuko, Takashi Nishimura, Sebastian Hückesfeld, et al.. (2020). The Corazonin-PTTH Neuronal Axis Controls Systemic Body Growth by Regulating Basal Ecdysteroid Biosynthesis in Drosophila melanogaster. Current Biology. 30(11). 2156–2165.e5. 40 indexed citations
8.
Shimada‐Niwa, Yuko, Takashi Nishimura, Sebastian Hückesfeld, et al.. (2019). The Corazonin-PTTH Neuronal Axis Controls Systemic Body Growth by Regulating Basal Ecdysteroid Biosynthesis in&nbsp; <i>Drosophila melanogaster</i>. SSRN Electronic Journal.
9.
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
11.
Enya, Sora, Hajime Mizuno, Tsuyoshi Esaki, et al.. (2017). Dual Roles of Glutathione in Ecdysone Biosynthesis and Antioxidant Function During Larval Development in Drosophila. Genetics. 207(4). 1519–1532. 31 indexed citations
12.
Shimada‐Niwa, Yuko, Ryusuke Niwa, Yoshiki Hayashi, et al.. (2015). Autocrine regulation of ecdysone synthesis by β3-octopamine receptor in the prothoracic gland is essential for Drosophila metamorphosis. Proceedings of the National Academy of Sciences. 112(5). 1452–1457. 47 indexed citations
13.
Hirota, Keiko, Yuko Shimada‐Niwa, MaryJane Shimell, et al.. (2015). The Drosophila Zinc Finger Transcription Factor Ouija Board Controls Ecdysteroid Biosynthesis through Specific Regulation of spookier. PLoS Genetics. 11(12). e1005712–e1005712. 31 indexed citations
14.
Shimada‐Niwa, Yuko & Ryusuke Niwa. (2014). Serotonergic neurons respond to nutrients and regulate the timing of steroid hormone biosynthesis in Drosophila. Nature Communications. 5(1). 5778–5778. 69 indexed citations
15.
Enya, Sora, Yuko Shimada‐Niwa, Shunsuke Yaguchi, et al.. (2011). The Conserved Rieske Oxygenase DAF-36/Neverland Is a Novel Cholesterol-metabolizing Enzyme. Journal of Biological Chemistry. 286(29). 25756–25762. 142 indexed citations
16.
Niwa, Ryusuke, Toshiki Namiki, Katsuhiko Ito, et al.. (2010). Non-molting glossy/shroud encodes a short-chain dehydrogenase/reductase that functions in the ‘Black Box’ of the ecdysteroid biosynthesis pathway. Development. 137(12). 1991–1999. 159 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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