Yi-Ming Mu

911 total citations
22 papers, 768 citations indexed

About

Yi-Ming Mu is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yi-Ming Mu has authored 22 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yi-Ming Mu's work include Peroxisome Proliferator-Activated Receptors (5 papers), Estrogen and related hormone effects (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). Yi-Ming Mu is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (5 papers), Estrogen and related hormone effects (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). Yi-Ming Mu collaborates with scholars based in China, Japan and United States. Yi-Ming Mu's co-authors include Kiminobu Goto, Hajime Nawata, Toshihiko Yanase, Yoshihiro Nishi, Taijiro Okabe, Masatoshi Nomura, Hidetaka Morinaga, Ryoichi Takayanagi, Masayuki Saito and Atsushi Tanaka and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

Yi-Ming Mu

20 papers receiving 749 citations

Peers

Yi-Ming Mu
P. Günzel Germany
Michelle M. Tabb United States
Silvia I. Anghel Switzerland
Angela R. Buckalew United States
Josie L. Falany United States
Dwain D. Hagerman United States
Yi-Ming Mu
Citations per year, relative to Yi-Ming Mu Yi-Ming Mu (= 1×) peers Ryoichi Takayanagi

Countries citing papers authored by Yi-Ming Mu

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Ming Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Ming Mu. 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 Yi-Ming Mu. The network helps show where Yi-Ming Mu may publish in the future.

Co-authorship network of co-authors of Yi-Ming Mu

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

All Works

20 of 20 papers shown
1.
Wang, Yao, Shen Li, Xinyu Li, et al.. (2023). Nomogram for Predicting Intraoperative Hemodynamic Instability in Patients With Normotensive Pheochromocytoma. The Journal of Clinical Endocrinology & Metabolism. 108(7). 1657–1665. 4 indexed citations
2.
Zhang, Wei, Yuanyuan Li, Qinghua Shang, et al.. (2022). Randomised controlled trial: effect of metformin add-on therapy on functional cure in entecavir-treated patients with chronic hepatitis B. Annals of Hepatology. 27(6). 100745–100745. 1 indexed citations
3.
Li, Binqi, et al.. (2022). A systematic review and meta-analysis of endocrine-related adverse events associated with interferon. Frontiers in Endocrinology. 13. 949003–949003. 3 indexed citations
4.
Zhang, Wei, Fangyi Liu, Kang Chen, et al.. (2022). Case report: coexistence of primary hyperparathyroidism with giant toxic nodular goiter. BMC Endocrine Disorders. 22(1). 200–200. 1 indexed citations
5.
Chen, Kang, Meirong Wang, Zhaohui Lv, et al.. (2022). Characteristics of Interferon-Associated Diabetes Mellitus in Past 30 Years: A Review. Hormone and Metabolic Research. 54(3). 145–152. 2 indexed citations
7.
Mu, Yi-Ming, et al.. (2022). [Predictive value of hemoglobin glycation index for chronic kidney disease].. PubMed. 61(12). 1310–1317. 1 indexed citations
8.
Fu, Jing, Wei Huang, Ping Pang, et al.. (2019). Microarray-based differential expression profiling of long noncoding RNAs and messenger RNAs in formalin-fixed paraffin-embedded human papillary thyroid carcinoma samples. Translational Cancer Research. 8(2). 439–451. 4 indexed citations
9.
Huang, Wei, Ling Zhao, Ye‐Qiong Song, et al.. (2019). Microarray-based differential expression profiling of long noncoding RNAs and messenger RNAs in formalin-fixed paraffin-embedded human papillary thyroid carcinoma samples. Translational Cancer Research. 8(2). 439–451. 6 indexed citations
10.
Wang, Xianling, Yi-Ming Mu, Jingtao Dou, et al.. (2010). A young boy with diffuse hyperpigmentation and delayed puberty. European Journal of Pediatrics. 170(5). 671–673. 1 indexed citations
11.
Wang, Tao, Yanfei Ren, Yi-Ming Mu, et al.. (2009). Automics: an integrated platform for NMR-based metabonomics spectral processing and data analysis. BMC Bioinformatics. 10(1). 83–83. 64 indexed citations
12.
Fan, WuQiang, Toshihiko Yanase, Hidetaka Morinaga, et al.. (2004). Activation of Peroxisome Proliferator-Activated Receptor-γ and Retinoid X Receptor Inhibits Aromatase Transcription via Nuclear Factor-κB. Endocrinology. 146(1). 85–92. 92 indexed citations
13.
Mu, Yi-Ming, Koichi Oba, Toshihiko Yanase, et al.. (2003). Human Pituitary Tumor Transforming Gene (hPTTG) Inhibits Human Lung Cancer A549 Cell Growth through Activation of p21<sup>WAF1/CIP1 </sup>. Endocrine Journal. 50(6). 771–781. 32 indexed citations
14.
Yanase, Toshihiko, Yi-Ming Mu, Yoshihiro Nishi, et al.. (2001). Regulation of aromatase by nuclear receptors. The Journal of Steroid Biochemistry and Molecular Biology. 79(1-5). 187–192. 31 indexed citations
15.
Saitoh, Masayuki, Hidetaka Morinaga, Makito Tanabe, et al.. (2001). Tributyltin or Triphenyltin Inhibits Aromatase Activity in the Human Granulosa-like Tumor Cell Line KGN. Biochemical and Biophysical Research Communications. 289(1). 198–204. 125 indexed citations
16.
Mu, Yi-Ming, Toshihiko Yanase, Yoshihiro Nishi, et al.. (2001). Combined treatment with specific ligands for PPARγ:RXR nuclear receptor system markedly inhibits the expression of cytochrome P450arom in human granulosa cancer cells. Molecular and Cellular Endocrinology. 181(1-2). 239–248. 70 indexed citations
17.
Mu, Yi-Ming, Toshihiko Yanase, Yoshihiro Nishi, et al.. (2001). Saturated FFAs, Palmitic Acid and Stearic Acid, Induce Apoptosis in Human Granulosa Cells. Endocrinology. 142(8). 3590–3597. 224 indexed citations
18.
Mu, Yi-Ming, Toshihiko Yanase, Yoshihiro Nishi, et al.. (2000). A nuclear receptor system constituted by RAR and RXR induces aromatase activity in MCF-7 human breast cancer cells. Molecular and Cellular Endocrinology. 166(2). 137–145. 24 indexed citations
19.
Mu, Yi-Ming, et al.. (2000). Thiazolidinedione suppresses the expression of erythroid phenotype in erythroleukemia cell line K562. Leukemia Research. 24(5). 393–400. 25 indexed citations
20.
Yanase, Toshihiko, et al.. (1999). Thiazolidinedione Induces Apoptosis and Monocytic Differentiation in the Promyelocytic Leukemia Cell Line HL60. Oncology. 57(Suppl. 2). 17–26. 55 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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