Yayun Liang

1.5k total citations
50 papers, 1.3k citations indexed

About

Yayun Liang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yayun Liang has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 23 papers in Genetics and 19 papers in Cancer Research. Recurrent topics in Yayun Liang's work include Estrogen and related hormone effects (23 papers), Cancer, Lipids, and Metabolism (13 papers) and Angiogenesis and VEGF in Cancer (11 papers). Yayun Liang is often cited by papers focused on Estrogen and related hormone effects (23 papers), Cancer, Lipids, and Metabolism (13 papers) and Angiogenesis and VEGF in Cancer (11 papers). Yayun Liang collaborates with scholars based in United States, China and Brazil. Yayun Liang's co-authors include Salman M. Hyder, Cynthia Besch‐Williford, M.F. El Etreby, Rolf A. Brekken, Ronald W. Lewis, Benford Mafuvadze, Jianbo Wu, Patricia V. Schoenlein, Matthew Cook and Xiaoqin Zou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Endocrinology.

In The Last Decade

Yayun Liang

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yayun Liang United States 23 749 370 369 355 156 50 1.3k
Sung Hoo Jung South Korea 24 772 1.0× 392 1.1× 171 0.5× 310 0.9× 107 0.7× 86 1.5k
Russell D. Klein United States 20 524 0.7× 229 0.6× 290 0.8× 246 0.7× 305 2.0× 24 1.1k
Sheryl Phung United States 20 530 0.7× 269 0.7× 309 0.8× 197 0.6× 183 1.2× 32 1.2k
Addanki P. Kumar United States 27 1.0k 1.4× 561 1.5× 167 0.5× 436 1.2× 197 1.3× 56 1.9k
Reba Mustafi United States 24 813 1.1× 366 1.0× 163 0.4× 414 1.2× 72 0.5× 45 1.3k
Xianzhong Ding United States 23 843 1.1× 355 1.0× 129 0.3× 306 0.9× 226 1.4× 39 1.4k
John P. Alao Sweden 18 1.0k 1.4× 435 1.2× 131 0.4× 227 0.6× 103 0.7× 33 1.6k
Lih‐Ching Hsu Taiwan 21 1.0k 1.3× 371 1.0× 263 0.7× 231 0.7× 48 0.3× 62 1.4k
Animesh Dhar United States 18 788 1.1× 377 1.0× 105 0.3× 194 0.5× 121 0.8× 32 1.4k
ShouWei Han United States 20 1.1k 1.4× 266 0.7× 116 0.3× 412 1.2× 229 1.5× 30 1.6k

Countries citing papers authored by Yayun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yayun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yayun Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yayun Liang. A scholar is included among the top collaborators of Yayun Liang 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 Yayun Liang. Yayun Liang 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.
Liang, Yayun, et al.. (2020). EFFECT OF POMEGRANATE EXTRACT GALLIC ACID ON THE PROLIFERATION OF PROSTATE CANCER CELLS BY PROMOTING THE EXPRESSION OF IGFBP7. Applied Ecology and Environmental Research. 18(5). 6233–6241. 1 indexed citations
2.
Liang, Yayun, et al.. (2019). APR-246 alone and in combination with a phosphatidylserine-targeting antibody inhibits lung metastasis of human triple-negative breast cancer cells in nude mice. SHILAP Revista de lepidopterología. 5 indexed citations
3.
4.
Liang, Yayun, et al.. (2018). The elevated glutaminolysis of bladder cancer and T cells in a simulated tumor microenvironment contributes to the up-regulation of PD-L1 expression by interferon-γ. SHILAP Revista de lepidopterología. 1 indexed citations
5.
6.
Cook, Matthew, Yayun Liang, Cynthia Besch‐Williford, & Salman M. Hyder. (2016). Luteolin inhibits lung metastasis, cell migration, and viability of triple-negative breast cancer cells. Breast Cancer Targets and Therapy. Volume 9. 9–19. 60 indexed citations
7.
Liang, Yayun, Cynthia Besch‐Williford, Johannes D. Aebi, et al.. (2014). Cholesterol biosynthesis inhibitors as potent novel anti-cancer agents: suppression of hormone-dependent breast cancer by the oxidosqualene cyclase inhibitor RO 48-8071. Breast Cancer Research and Treatment. 146(1). 51–62. 29 indexed citations
8.
Liang, Yayun, et al.. (2012). The anticancer agent YC-1 suppresses progestin-stimulated VEGF in breast cancer cells and arrests breast tumor development. International Journal of Oncology. 42(1). 179–187. 22 indexed citations
9.
Neubauer, Hans, Xiangyan Ruan, H Schneck, et al.. (2012). Overexpression of progesterone receptor membrane component 1. Menopause The Journal of The North American Menopause Society. 20(5). 504–510. 32 indexed citations
10.
Hyder, Salman M., et al.. (2009). Regulation of thrombospondin-1 by natural and synthetic progestins in human breast cancer cells. Endocrine Related Cancer. 16(3). 809–817. 16 indexed citations
11.
Hyder, Salman M., Yayun Liang, & Jianbo Wu. (2009). Estrogen regulation of thrombospondin‐1 in human breast cancer cells. International Journal of Cancer. 125(5). 1045–1053. 34 indexed citations
12.
Wu, Jianbo, Yayun Liang, Zafar Nawaz, & Salman M. Hyder. (2005). Complex agonist-like properties of ICI 182,780 (Faslodex) in human breast cancer cells that predominantly express progesterone receptor-B: implications for treatment resistance.. PubMed. 27(6). 1647–59. 9 indexed citations
13.
Liang, Yayun, Sandra L. Brandt, & Salman M. Hyder. (2005). Proliferation of Endothelial and Tumor Epithelial Cells by Progestin- Induced VEGF from Human Breast Cancer Cells: Paracrine and Autocrine Effects. Cancer Research. 65. 300–300. 9 indexed citations
14.
15.
Liang, Yayun, Manal Eid, Ronald W. Lewis, & M. Vijay Kumar. (2004). Mitochondria from TRAIL-resistant prostate cancer cells are capable of responding to apoptotic stimuli. Cellular Signalling. 17(2). 243–251. 8 indexed citations
16.
Uray, Iván P., Yayun Liang, & Salman M. Hyder. (2003). Estradiol down-regulates CD36 expression in human breast cancer cells. Cancer Letters. 207(1). 101–107. 43 indexed citations
17.
Sridhar, Supriya, et al.. (2001). Differential expression of members of the tumor necrosis factor alpha-related apoptosis-inducing ligand pathway in prostate cancer cells.. PubMed. 61(19). 7179–83. 20 indexed citations
18.
Etreby, M.F. El, Yayun Liang, Robert W. Wrenn, & Patricia V. Schoenlein. (1998). Additive effect of mifepristone and tamoxifen on apoptotic pathways in MCF-7 human breast cancer cells. Breast Cancer Research and Treatment. 51(2). 149–168. 52 indexed citations
19.
Etreby, M.F. El & Yayun Liang. (1998). Effect of antiprogestins and tamoxifen on growh inhibition of MCF-7 human breast cancer cells in nude mice. Breast Cancer Research and Treatment. 49(2). 109–117. 39 indexed citations
20.
Chang, Barbara K., Raymond J. Bergeron, Carl W. Porter, & Yayun Liang. (1992). Antitumor effects ofN-alkylated polyamine analogues in human pancreatic adenocarcinoma models. Cancer Chemotherapy and Pharmacology. 30(3). 179–182. 28 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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