Sora Enya

596 total citations
11 papers, 448 citations indexed

About

Sora Enya is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sora Enya has authored 11 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sora Enya's work include Neurobiology and Insect Physiology Research (3 papers), RNA modifications and cancer (2 papers) and Estrogen and related hormone effects (2 papers). Sora Enya is often cited by papers focused on Neurobiology and Insect Physiology Research (3 papers), RNA modifications and cancer (2 papers) and Estrogen and related hormone effects (2 papers). Sora Enya collaborates with scholars based in Japan and Canada. Sora Enya's co-authors include Ryusuke Niwa, Hiroshi Kataoka, Tetsuro Shinoda, Yuko Shimada‐Niwa, Masatoshi Iga, Shinpei Kawaoka, Makoto Asashima, Yasunori Sasakura, Shuji Takahashi and Kensuke Shiomi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Chemical Communications.

In The Last Decade

Sora Enya

10 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sora Enya Japan 9 250 159 123 79 49 11 448
Matthew Sieber United States 11 291 1.2× 237 1.5× 114 0.9× 83 1.1× 127 2.6× 15 659
Kim P Kamdar United States 7 215 0.9× 167 1.1× 63 0.5× 163 2.1× 45 0.9× 7 485
Siti Nur Sarah Morris United States 8 149 0.6× 106 0.7× 80 0.7× 27 0.3× 38 0.8× 9 496
Wendy L. White United States 4 145 0.6× 93 0.6× 28 0.2× 57 0.7× 33 0.7× 4 276
Shumin Liu China 9 211 0.8× 197 1.2× 141 1.1× 76 1.0× 107 2.2× 25 490
Eva Gómez‐Orte Spain 15 413 1.7× 59 0.4× 66 0.5× 71 0.9× 47 1.0× 34 710
Michael Frochaux Switzerland 8 279 1.1× 29 0.2× 44 0.4× 64 0.8× 45 0.9× 10 488
Salaheldin Abdelraouf Abdelsalam Egypt 11 92 0.4× 73 0.5× 73 0.6× 61 0.8× 10 0.2× 22 326
Shun‐Chieh Young Taiwan 11 111 0.4× 184 1.2× 91 0.7× 48 0.6× 73 1.5× 11 362
Olaf Voolstra Germany 9 249 1.0× 146 0.9× 23 0.2× 23 0.3× 25 0.5× 13 402

Countries citing papers authored by Sora Enya

Since Specialization
Citations

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

Fields of papers citing papers by Sora Enya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sora Enya

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

All Works

11 of 11 papers shown
1.
2.
Takahashi, Masatomo, Sora Enya, Motonao Nakao, et al.. (2022). Remote solid cancers rewire hepatic nitrogen metabolism via host nicotinamide-N-methyltransferase. Nature Communications. 13(1). 3346–3346. 20 indexed citations
3.
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
4.
Enya, Sora, Koichi Kawakami, Yutaka Suzuki, & Shinpei Kawaoka. (2018). A novel zebrafish intestinal tumor model reveals a role for cyp7a1 -dependent tumor-liver crosstalk in tumor's adverse effects on host. Disease Models & Mechanisms. 11(8). 24 indexed citations
5.
Enya, Sora, Miki Arai, Yutaka Suzuki, et al.. (2017). Remote reprogramming of hepatic circadian transcriptome by breast cancer. Oncotarget. 8(21). 34128–34140. 49 indexed citations
6.
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
7.
Enya, Sora, Takaaki Daimon, Hiroshi Kataoka, et al.. (2015). The silkworm glutathione S-transferase gene noppera-bo is required for ecdysteroid biosynthesis and larval development. Insect Biochemistry and Molecular Biology. 61. 1–7. 58 indexed citations
8.
Fujikawa, Yuuta, Sora Enya, Ryusuke Niwa, et al.. (2015). A practical fluorogenic substrate for high-throughput screening of glutathione S-transferase inhibitors. Chemical Communications. 51(57). 11459–11462. 25 indexed citations
9.
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
10.
11.
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

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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2026