Yuichi Aita

824 total citations
21 papers, 259 citations indexed

About

Yuichi Aita is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Yuichi Aita has authored 21 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Surgery and 5 papers in Genetics. Recurrent topics in Yuichi Aita's work include Cancer, Hypoxia, and Metabolism (4 papers), Adrenal and Paraganglionic Tumors (3 papers) and Kruppel-like factors research (3 papers). Yuichi Aita is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Adrenal and Paraganglionic Tumors (3 papers) and Kruppel-like factors research (3 papers). Yuichi Aita collaborates with scholars based in Japan. Yuichi Aita's co-authors include Hitoshi Shimano, Kazuhiro Takekoshi, Yasushi Kawakami, Kiyo‐aki Ishii, Tatsuhiko N. Ikeda, Hisato Hara, Yoshinori Takeuchi, Naoya Yahagi, Yuko Tanaka and Hiroaki Suzuki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.

In The Last Decade

Yuichi Aita

20 papers receiving 256 citations

Peers

Yuichi Aita

SURGE

EPIDE

EDM

Ikki Sakuma Japan

Kari-Matti Mäkelä Finland

Raitis Pečulis Latvia

Yoshitaka Sayo Japan

Yuncai Zhou China

Hui‐Pin Hsiao Taiwan

Amirfarbod Yazdanyar United States

Yujie Zhou China

Zhiyi He China

André Sarmento‐Cabral Spain

Ikki Sakuma Japan

Yuichi Aita

86 ×0.7

96 ×1.1

SURGE

50 ×0.7

62 ×1.2

EPIDE

110 ×2.4

EDM

Citations per year, relative to Yuichi Aita Yuichi Aita (= 1×) peers Ikki Sakuma

Countries citing papers authored by Yuichi Aita

Since Specialization

Citations

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

Fields of papers citing papers by Yuichi Aita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Aita

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

All Works

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20 of 20 papers shown

Takeuchi, Yoshinori, Chen Ye, Yuichi Aita, et al.. (2024). FoxO transcription factors regulate urea cycle through Ass1. Biochemical and Biophysical Research Communications. 739. 150594–150594.

Suzuki, Yasuhiro, Yoshinori Takeuchi, Yuichi Aita, et al.. (2023). New balance capability index as a screening tool for mild cognitive impairment. BMC Geriatrics. 23(1). 74–74. 9 indexed citations

Matsuzaka, Takashi, Kaori Motomura, Hiroshi Ohno, et al.. (2023). Identification of key microRNAs regulating ELOVL6 and glioblastoma tumorigenesis. SHILAP Revista de lepidopterología. 3. 100078–100078. 6 indexed citations

Takeuchi, Yoshinori, Yuki Murayama, Yuichi Aita, et al.. (2023). GR‐KLF15 pathway controls hepatic lipogenesis during fasting. FEBS Journal. 291(2). 259–271. 6 indexed citations

Aita, Yuichi, et al.. (2022). Effectiveness of a case-based digital learning interprofessional workshop involving undergraduates in medical technology, radiological science, and physical therapy: A pre–post intervention study. PLoS ONE. 17(7). e0270864–e0270864. 2 indexed citations

Takeuchi, Yoshinori, Naoya Yahagi, Yuichi Aita, et al.. (2021). FoxO-KLF15 pathway switches the flow of macronutrients under the control of insulin. iScience. 24(12). 103446–103446. 7 indexed citations

Yoshida, Yukiko, et al.. (2021). Plasma free metanephrine and normethanephrine levels correlated to plasma catecholamine after acute running in amateur runner. Journal of Exercise Science & Fitness. 19(3). 178–181. 3 indexed citations

Takeuchi, Yoshinori, Yuichi Aita, Chen Ye, et al.. (2021). High protein diet-induced metabolic changes are transcriptionally regulated via KLF15-dependent and independent pathways. Biochemical and Biophysical Research Communications. 582. 35–42. 6 indexed citations

Sugasawa, Takehito, Koichi Watanabe, Tohru Takemasa, et al.. (2020). The detection of trans gene fragments of hEPO in gene doping model mice by Taqman qPCR assay. PeerJ. 8. e8595–e8595. 14 indexed citations

10.

Sugasawa, Takehito, Yoshinori Takeuchi, Yukiko Yoshida, et al.. (2020). Influence of Intermittent Cold Stimulations on CREB and Its Targeting Genes in Muscle: Investigations into Molecular Mechanisms of Local Cryotherapy. International Journal of Molecular Sciences. 21(13). 4588–4588. 6 indexed citations

11.

Sugasawa, Takehito, Makoto Watanabe, Yoshinori Takeuchi, et al.. (2020). Characterization of Osteoarthritis in a Medial Meniscectomy-Induced Animal Model Using Contrast-Enhanced X-ray Microtomography. Biomedicines. 8(3). 56–56. 3 indexed citations

12.

Aoyama, Toshiyuki, et al.. (2019). Development of an educational program for interprofessional collaboration. 10(1). 10–18. 1 indexed citations

13.

Sugasawa, Takehito, Koichi Watanabe, Tohru Natsume, et al.. (2019). Detection of Transgenes in Gene Delivery Model Mice by Adenoviral Vector Using ddPCR. Genes. 10(6). 436–436. 7 indexed citations

14.

Ohno, Hiroshi, Takashi Matsuzaka, Rahul Sharma, et al.. (2018). Transgenic Mice Overexpressing SREBP-1a in Male ob/ob Mice Exhibit Lipodystrophy and Exacerbate Insulin Resistance. Endocrinology. 159(6). 2308–2323. 15 indexed citations

15.

Shibata, Masahiro, Noriyuki Miyajima, Yayoi Adachi, et al.. (2017). Synchronous bilateral pheochromocytomas and paraganglioma with novel germline mutation in MAX: a case report. SHILAP Revista de lepidopterología. 3(1). 131–131. 9 indexed citations

16.

Zhao, Hui, Takashi Matsuzaka, Yuta Nakano, et al.. (2017). Elovl6 Deficiency Improves Glycemic Control in Diabetic db/db Mice by Expanding β-Cell Mass and Increasing Insulin Secretory Capacity. Diabetes. 66(7). 1833–1846. 30 indexed citations

17.

Kikuchi, Takuya, Song‐iee Han, Motoko Kuba, et al.. (2016). Intestinal CREBH overexpression prevents high-cholesterol diet-induced hypercholesterolemia by reducing Npc1l1 expression. Molecular Metabolism. 5(11). 1092–1102. 33 indexed citations

18.

Ishii, Kiyo‐aki, Yuichi Aita, Tatsuhiko N. Ikeda, et al.. (2015). Loss of SDHB Elevates Catecholamine Synthesis and Secretion Depending on ROS Production and HIF Stabilization. Neurochemical Research. 41(4). 696–706. 28 indexed citations

19.

Aita, Yuichi, Kiyo‐aki Ishii, Tatsuhiko N. Ikeda, et al.. (2012). Sunitinib inhibits catecholamine synthesis and secretion in pheochromocytoma tumor cells by blocking VEGF receptor 2 via PLC-γ-related pathways. American Journal of Physiology-Endocrinology and Metabolism. 303(8). E1006–E1014. 16 indexed citations

20.

Tanaka, Yuko, Yuichi Aita, Kiyo‐aki Ishii, et al.. (2011). Sunitinib induces apoptosis in pheochromocytoma tumor cells by inhibiting VEGFR2/Akt/mTOR/S6K1 pathways through modulation of Bcl-2 and BAD. American Journal of Physiology-Endocrinology and Metabolism. 302(6). E615–E625. 50 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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