Yui Koike

508 total citations
10 papers, 123 citations indexed

About

Yui Koike is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yui Koike has authored 10 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yui Koike's work include Cholesterol and Lipid Metabolism (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Yui Koike is often cited by papers focused on Cholesterol and Lipid Metabolism (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Yui Koike collaborates with scholars based in Japan, United States and China. Yui Koike's co-authors include Jifeng Zhang, Tomonari Koike, Jun Song, Jie Xu, Minerva T. Garcia-Barrio, Tianqing Zhu, Yanhong Guo, Jianglin Fan, Dongshan Yang and Anna Schwendeman and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, European Journal of Pharmacology and Atherosclerosis.

In The Last Decade

Yui Koike

9 papers receiving 121 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yui Koike Japan 7 56 37 30 21 20 10 123
Fen Luo China 7 95 1.7× 23 0.6× 29 1.0× 31 1.5× 12 0.6× 12 169
Maaike Winkelmeijer Netherlands 7 58 1.0× 52 1.4× 17 0.6× 11 0.5× 19 0.9× 10 133
Sarbani Adhikari United States 3 41 0.7× 16 0.4× 25 0.8× 22 1.0× 13 0.7× 3 123
C. Y. Yang China 8 44 0.8× 29 0.8× 26 0.9× 6 0.3× 18 0.9× 15 124
Yuanhua Lu China 9 70 1.3× 36 1.0× 20 0.7× 10 0.5× 11 0.6× 20 175
Jahad Alghamdi Saudi Arabia 7 29 0.5× 23 0.6× 18 0.6× 16 0.8× 16 0.8× 19 134
Zaipul I. Md Dom United States 8 99 1.8× 24 0.6× 14 0.5× 35 1.7× 37 1.9× 15 218
Sabrina Geisberger Germany 6 34 0.6× 17 0.5× 13 0.4× 7 0.3× 19 0.9× 7 120
Gregory J. Golden United States 4 42 0.8× 25 0.7× 27 0.9× 6 0.3× 29 1.4× 8 130
Malgorzata Szaroszyk Germany 6 103 1.8× 21 0.6× 17 0.6× 13 0.6× 28 1.4× 9 208

Countries citing papers authored by Yui Koike

Since Specialization
Citations

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

Fields of papers citing papers by Yui Koike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yui Koike

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

All Works

10 of 10 papers shown
1.
Zhang, Yifan, Masaki Nomura, Koutarou Nishimura, et al.. (2025). In-depth functional analysis of BRD9 in fetal hematopoiesis reveals context-dependent roles. iScience. 28(3). 112010–112010. 2 indexed citations
2.
Tanaka, Shota, Ziyu Gao, Masaki Nomura, et al.. (2025). BRD9 depletion-mediated ALOX5 upregulation via chromatin dysregulation induces ferroptosis in SF3B1-mutant hematopoiesis. International Journal of Hematology. 123(3). 342–355.
3.
Liang, Xiubin, Xia Hou, Zhenfeng Song, et al.. (2022). Cystic fibrosis rabbits develop spontaneous hepatobiliary lesions and CF-associated liver disease (CFLD)-like phenotypes. PNAS Nexus. 2(1). pgac306–pgac306. 5 indexed citations
4.
Wang, Dandan, Bilian Yu, Qingrun Li, et al.. (2022). HDL quality features revealed by proteome‒lipidome connectivity are associated with atherosclerotic disease. Journal of Molecular Cell Biology. 14(3). 7 indexed citations
5.
Song, Jun, Mark J. Hoenerhoff, Dongshan Yang, et al.. (2021). Development of the Nude Rabbit Model. Stem Cell Reports. 16(3). 656–665. 7 indexed citations
6.
Bhatti, Umar F., Qiufang Deng, Ben E. Biesterveld, et al.. (2020). Cl-Amidine Improves Survival and Attenuates Kidney Injury in a Rabbit Model of Endotoxic Shock. Surgical Infections. 22(4). 421–426. 13 indexed citations
7.
Koike, Tomonari, Yui Koike, Dongshan Yang, et al.. (2020). Human apolipoprotein A-II reduces atherosclerosis in knock-in rabbits. Atherosclerosis. 316. 32–40. 20 indexed citations
8.
Takeda, Hiroaki, Yoshihiro Izumi, Tomonari Koike, et al.. (2020). Lipid Profiling of Serum and Lipoprotein Fractions in Response to Pitavastatin Using an Animal Model of Familial Hypercholesterolemia. Journal of Proteome Research. 19(3). 1100–1108. 11 indexed citations
9.
Koike, Yui, Hiroaki Takeda, Tomonari Koike, et al.. (2018). Ameliorating effects of D-47, a newly developed compound, on lipid metabolism in an animal model of familial hypercholesterolemia (WHHLMI rabbits). European Journal of Pharmacology. 822. 147–153. 10 indexed citations
10.
Zhang, Jifeng, Manabu Niimi, Dongshan Yang, et al.. (2017). Deficiency of Cholesteryl Ester Transfer Protein Protects Against Atherosclerosis in Rabbits. Arteriosclerosis Thrombosis and Vascular Biology. 37(6). 1068–1075. 48 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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