Yoshimi Aizaki

959 total citations
17 papers, 725 citations indexed

About

Yoshimi Aizaki is a scholar working on Molecular Biology, Rheumatology and Oncology. According to data from OpenAlex, Yoshimi Aizaki has authored 17 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Rheumatology and 5 papers in Oncology. Recurrent topics in Yoshimi Aizaki's work include Rheumatoid Arthritis Research and Therapies (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Yoshimi Aizaki is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Yoshimi Aizaki collaborates with scholars based in Japan and United States. Yoshimi Aizaki's co-authors include Toshihide Mimura, Kojiro Sato, Hiromi Oda, Shoichi Ishiura, Kazuhiro Yokota, Ayumu Yoshikawa, Kei Maruyama, Takaomi C. Saido, Nobuhisa Iwata and Yasuto Araki and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Nutrition.

In The Last Decade

Yoshimi Aizaki

16 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshimi Aizaki Japan 11 319 147 127 100 97 17 725
Qiaoke Gong United States 16 294 0.9× 91 0.6× 65 0.5× 59 0.6× 118 1.2× 26 918
Fariborz Bahrehmand Iran 15 192 0.6× 125 0.9× 66 0.5× 122 1.2× 118 1.2× 46 692
WU Wei-kang China 12 325 1.0× 54 0.4× 64 0.5× 138 1.4× 132 1.4× 37 860
Hongxia Yang China 20 450 1.4× 54 0.4× 48 0.4× 211 2.1× 150 1.5× 55 988
Fang Yu China 18 409 1.3× 43 0.3× 74 0.6× 128 1.3× 55 0.6× 31 829
James D. Eskra United States 17 206 0.6× 178 1.2× 358 2.8× 126 1.3× 65 0.7× 30 921
Huimin Bian China 11 234 0.7× 32 0.2× 203 1.6× 64 0.6× 50 0.5× 19 564
Hsiang‐Ping Lee Taiwan 15 300 0.9× 149 1.0× 128 1.0× 91 0.9× 35 0.4× 16 682
Sun‐O Ka South Korea 18 498 1.6× 52 0.4× 51 0.4× 144 1.4× 29 0.3× 22 1.0k

Countries citing papers authored by Yoshimi Aizaki

Since Specialization
Citations

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

Fields of papers citing papers by Yoshimi Aizaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshimi Aizaki

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

All Works

17 of 17 papers shown
1.
Araki, Yoshinori, Yoshimi Aizaki, Hiroshi Kajiyama, et al.. (2025). ABS0050 HISTONE LYSINE METHYLTRANSFERASES MLL1 AND MLL3 COOPERATIVELY REGULATE CHEMOKINE GENE EXPRESSION IN RHEUMATOID ARTHRITIS SYNOVIAL FIBROBLASTS. Annals of the Rheumatic Diseases. 84. 1925–1925.
2.
Araki, Yasuto, et al.. (2024). Regulation of cytokine and chemokine expression by histone lysine methyltransferase MLL1 in rheumatoid arthritis synovial fibroblasts. Scientific Reports. 14(1). 10610–10610. 5 indexed citations
3.
Aizaki, Yoshimi, et al.. (2023). Essentiality of Nfatc1 short isoform in osteoclast differentiation and its self-regulation. Scientific Reports. 13(1). 18797–18797. 10 indexed citations
5.
Aizaki, Yoshimi, et al.. (2021). Dual effects of interleukin-10 on natural killer cells and monocytes and the implications for adult-onset Still's disease. Clinical and Experimental Rheumatology. 39(5). 22–29. 4 indexed citations
6.
Yokota, Kazuhiro, Kojiro Sato, Takashi Miyazaki, et al.. (2021). Characterization and Function of Tumor Necrosis Factor and Interleukin‐6–Induced Osteoclasts in Rheumatoid Arthritis. Arthritis & Rheumatology. 73(7). 1145–1154. 150 indexed citations
7.
Sato, Kojiro, Yoshimi Aizaki, Yoshihiro Yoshida, & Toshihide Mimura. (2020). Treatment of psoriatic arthritis complicated by systemic lupus erythematosus with the IL-17 blocker secukinumab and an analysis of the serum cytokine profile. Modern Rheumatology Case Reports. 4(2). 181–185. 8 indexed citations
8.
Asanuma, Yu, Yoshimi Aizaki, Hisashi Noma, et al.. (2019). Plasma pentraxin 3 is associated with progression of radiographic joint damage, but not carotid atherosclerosis, in female rheumatoid arthritis patients: 3-year prospective study. Modern Rheumatology. 30(6). 959–966. 12 indexed citations
9.
Araki, Yasuto, Yoshimi Aizaki, Kojiro Sato, et al.. (2018). Altered gene expression profiles of histone lysine methyltransferases and demethylases in rheumatoid arthritis synovial fibroblasts.. PubMed. 36(2). 314–316. 22 indexed citations
10.
Araki, Yasuto, Takuma Tsuzuki Wada, Yoshimi Aizaki, et al.. (2015). Histone Methylation and STAT‐3 Differentially Regulate Interleukin‐6–Induced Matrix Metalloproteinase Gene Activation in Rheumatoid Arthritis Synovial Fibroblasts. Arthritis & Rheumatology. 68(5). 1111–1123. 81 indexed citations
11.
Wada, Takuma Tsuzuki, Yasuto Araki, Kojiro Sato, et al.. (2014). Aberrant histone acetylation contributes to elevated interleukin-6 production in rheumatoid arthritis synovial fibroblasts. Biochemical and Biophysical Research Communications. 444(4). 682–686. 83 indexed citations
12.
Fukushima, Akiko, Yoshimi Aizaki, & Keiko Sakuma. (2012). Short-Chain Fatty Acids Increase the Level of Calbindin-D9k Messenger RNA in Caco-2 Cells. Journal of Nutritional Science and Vitaminology. 58(4). 287–291. 14 indexed citations
13.
Yoshikawa, Ayumu, Yoshimi Aizaki, Ken-ichi Kusano, et al.. (2011). The (pro)renin receptor is cleaved by ADAM19 in the Golgi leading to its secretion into extracellular space. Hypertension Research. 34(5). 599–605. 115 indexed citations
14.
Aizaki, Yoshimi, et al.. (2009). Distinct roles of the DRY motif in rat melanin-concentrating hormone receptor 1 in signaling control. Peptides. 30(5). 974–981. 13 indexed citations
15.
Fukushima, Akiko, Yoshimi Aizaki, & Keiko Sakuma. (2008). Short-Chain Fatty Acids Induce Intestinal Transient Receptor Potential Vanilloid Type 6 Expression in Rats and Caco-2 Cells. Journal of Nutrition. 139(1). 20–25. 35 indexed citations
16.
Saitoh, Osamu, et al.. (2008). Regulation of melanin-concentrating hormone receptor 1 signaling by RGS8 with the receptor third intracellular loop. Cellular Signalling. 20(11). 2084–2094. 19 indexed citations
17.
Asai, Masashi, Nobuhisa Iwata, Ayumu Yoshikawa, et al.. (2006). Berberine alters the processing of Alzheimer’s amyloid precursor protein to decrease Aβ secretion. Biochemical and Biophysical Research Communications. 352(2). 498–502. 153 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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