Miao Yang

522 total citations
20 papers, 313 citations indexed

About

Miao Yang is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Miao Yang has authored 20 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Miao Yang's work include Estrogen and related hormone effects (4 papers), Prostate Cancer Treatment and Research (4 papers) and RNA Research and Splicing (4 papers). Miao Yang is often cited by papers focused on Estrogen and related hormone effects (4 papers), Prostate Cancer Treatment and Research (4 papers) and RNA Research and Splicing (4 papers). Miao Yang collaborates with scholars based in Japan, China and Australia. Miao Yang's co-authors include Wayne D. Tilley, Grant Buchanan, Jonathan M. Harris, David J. Horsfall, Nicole L. Moore, Jacqueline M. Bentel, Ying Hu, Satoshi Kaneko, Minoru Tanaka and Yoshitaka Hosokawa and has published in prestigious journals such as Gastroenterology, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Miao Yang

20 papers receiving 302 citations

Peers

Miao Yang

GENET

PRM

EDM

ONCOL

Liesbeth Clinckemalie Belgium

Reinhard Hackenberg Germany

Paolo Falasca Italy

Jianfeng Zhang China

José S. Subauste United States

Bolot Kalmyrzaev United Kingdom

Domingo Navarro Spain

Manuel Luedeke Germany

Sunny Mahakena Netherlands

Elizabeth Nuttall United States

Liesbeth Clinckemalie Belgium

Miao Yang

283 ×1.8

165 ×1.4

GENET

155 ×1.4

PRM

123 ×1.4

EDM

48 ×0.7

ONCOL

Citations per year, relative to Miao Yang Miao Yang (= 1×) peers Liesbeth Clinckemalie

Countries citing papers authored by Miao Yang

Since Specialization

Citations

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

Fields of papers citing papers by Miao Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Miao, et al.. (2025). Mitochondrial transcription factor a as a guardian of mitochondrial integrity and emerging therapeutic target in human diseases: A review. International Journal of Biological Macromolecules. 319(Pt 4). 145706–145706. 1 indexed citations

Yang, Miao, et al.. (2022). From cradle to grave? A global hotspot and new species of the genus Lobaria discovered in the Himalayas and the Hengduan Mountains.. PubMed. 48. 150–174. 3 indexed citations

Wu, Xiaoxiao, Fan Zhou, Yanrong Liu, et al.. (2022). Non-targeted screening and trimethylamine determination in Tilletia foetida-infected wheat using HS-SPME-GC-MS. Food Additives & Contaminants Part A. 40(2). 181–192. 2 indexed citations

Wu, Xiaoxiao, Miao Yang, Xin Fang, et al.. (2018). Expression and regulation of phenol-soluble modulins and enterotoxins in foodborne Staphylococcus aureus. AMB Express. 8(1). 4 indexed citations

Lannagan, Tamsin R.M., Young Lee, Tongtong Wang, et al.. (2017). Genetic Editing of Colonic Organoids Provides a Molecularly Distinct and Orthotopic Mouse Model of Serrated Carcinogenesis. Gastroenterology. 152(5). S103–S103. 2 indexed citations

Wang, Nan, et al.. (2016). Energy Balance-related Behaviors Are Related to Cardiometabolic Parameters and Predict Adiposity in 8-14-year-old Overweight Chinese Children One Year Later.. PubMed. 29(10). 754–757. 4 indexed citations

Abankwa, Daniel, Susan Millard, Nick Martel, et al.. (2013). Ski-interacting protein (SKIP) interacts with androgen receptor in the nucleus and modulates androgen-dependent transcription. BMC Biochemistry. 14(1). 10–10. 12 indexed citations

Li, Yiling, et al.. (2010). [The relationship of leptin and adiponectin with insulin resistance in nonalcoholic fatty liver disease].. PubMed. 18(6). 459–62. 3 indexed citations

Butler, Lisa M., Margaret M. Centenera, Petra J. Neufing, et al.. (2006). Suppression of Androgen Receptor Signaling in Prostate Cancer Cells by an Inhibitory Receptor Variant. Molecular Endocrinology. 20(5). 1009–1024. 15 indexed citations

10.

Buchanan, Grant, Stephen N. Birrell, Amelia A. Peters, et al.. (2005). Decreased Androgen Receptor Levels and Receptor Function in Breast Cancer Contribute to the Failure of Response to Medroxyprogesterone Acetate. Cancer Research. 65(18). 8487–8496. 57 indexed citations

11.

Buchanan, Grant, Paul Craft, Miao Yang, et al.. (2004). PC‐3 cells with enhanced androgen receptor signaling: A model for clonal selection in prostate cancer. The Prostate. 60(4). 352–366. 33 indexed citations

12.

Xu, Qian, Jinbo Yang, Miao Yang, et al.. (2004). [Role of heat shock protein 70 expression in DNA damage induced by benzo(a)pyrene].. PubMed. 22(2). 96–9. 2 indexed citations

13.

Buchanan, Grant, Miao Yang, Jonathan M. Harris, et al.. (2001). Mutations at the Boundary of the Hinge and Ligand Binding Domain of the Androgen Receptor Confer Increased Transactivation Function. Molecular Endocrinology. 15(1). 46–56. 94 indexed citations

14.

Yang, Miao, Hideki Nomura, Ying Hu, et al.. (1998). Prolactin‐induced expression of TATA‐less cyclin D3 gene is mediated by Sp1 and AP2. IUBMB Life. 44(1). 51–58. 8 indexed citations

15.

Yang, Miao, et al.. (1998). Contribution of carbon monoxide-producing cells in the gastric mucosa of rat and monkey. Histochemistry and Cell Biology. 109(4). 369–373. 10 indexed citations

16.

Hu, Ying, Ning Ma, Miao Yang, & Reiji Semba. (1998). Expression and Distribution of Heme Oxygenase-2 mRNA and Protein in Rat Kidney. Journal of Histochemistry & Cytochemistry. 46(2). 249–256. 23 indexed citations

17.

Yang, Miao, Yoshitaka Hosokawa, Ying Hu, et al.. (1997). Cloning and functional analysis of rat cyclin D2 promoter: multiple prolactin‐responsive elements. IUBMB Life. 43(4). 749–754. 7 indexed citations

18.

Yang, Miao, Yoshitaka Hosokawa, Satoshi Kaneko, Minoru Tanaka, & Kunio Nakashima. (1996). Structure and characterization of rat cyclin D3 promoter. Gene. 181(1-2). 153–159. 10 indexed citations

19.

Hosokawa, Yoshitaka, Miao Yang, Satoshi Kaneko, Minoru Tanaka, & Kunio Nakashima. (1996). Prolactin Induces Switching of T-Cell Receptor Gene Expression from α to γ in Rat Nb2 Pre-T Lymphoma Cells. Biochemical and Biophysical Research Communications. 220(3). 958–962. 15 indexed citations

20.

Hosokawa, Yoshitaka, Miao Yang, Satoshi Kaneko, Minoru Tanaka, & K Nakashima. (1995). Synergistic gene expressions of cyclin E, cdk2, cdk5 and E2F-1 during the prolactin-induced G1/S transition in rat Nb2 pre-T lymphoma cells.. PubMed. 37(2). 393–9. 8 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.

Explore authors with similar magnitude of impact