Liping An

816 total citations
31 papers, 510 citations indexed

About

Liping An is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Liping An has authored 31 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Plant Science. Recurrent topics in Liping An's work include Bone Metabolism and Diseases (6 papers), Gut microbiota and health (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). Liping An is often cited by papers focused on Bone Metabolism and Diseases (6 papers), Gut microbiota and health (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). Liping An collaborates with scholars based in China, Philippines and United Kingdom. Liping An's co-authors include Peige Du, Guangxin Yuan, Guangyu Xu, Xiao Han, Yu Sheng, Zhiwei Sun, Shuang Jiang, Xiao Guo, Jinglin Ma and Xue-Chun Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Carbohydrate Polymers.

In The Last Decade

Liping An

29 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liping An China 13 291 92 61 54 47 31 510
Sung Ok Kim South Korea 14 244 0.8× 72 0.8× 82 1.3× 71 1.3× 53 1.1× 27 517
Tae Hoon Lee South Korea 15 245 0.8× 96 1.0× 61 1.0× 62 1.1× 32 0.7× 34 555
Won‐Chul Lim South Korea 16 307 1.1× 134 1.5× 43 0.7× 71 1.3× 95 2.0× 40 651
Jianqiao Zhong China 14 274 0.9× 60 0.7× 37 0.6× 34 0.6× 48 1.0× 32 763
Saranyapin Potikanond Thailand 15 315 1.1× 73 0.8× 66 1.1× 129 2.4× 75 1.6× 43 693
Thanyaluck Phitak Thailand 14 217 0.7× 141 1.5× 75 1.2× 73 1.4× 33 0.7× 34 599
Cheuk‐Lun Liu Hong Kong 12 225 0.8× 100 1.1× 65 1.1× 78 1.4× 43 0.9× 16 578
Weihong Ge China 14 256 0.9× 81 0.9× 89 1.5× 101 1.9× 36 0.8× 33 708
Wanida Sukketsiri Thailand 15 207 0.7× 62 0.7× 57 0.9× 52 1.0× 39 0.8× 59 573

Countries citing papers authored by Liping An

Since Specialization
Citations

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

Fields of papers citing papers by Liping An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liping An

This figure shows the co-authorship network connecting the top 25 collaborators of Liping An. A scholar is included among the top collaborators of Liping An 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 Liping An. Liping An 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.
Jiang, Shan, Xiling Chen, Lan Ma, et al.. (2025). Evaluating the effect of nutritional support in geriatric inpatients classified by the GLIM criteria. The journal of nutrition health & aging. 29(8). 100585–100585. 1 indexed citations
2.
Guo, Xiao, et al.. (2024). Study of active components and mechanisms mediating the hypolipidemic effect of Inonotus obliquus polysaccharides. Food Science & Nutrition. 12(4). 2833–2845. 7 indexed citations
3.
An, Liping, Guangyu Xu, Guangxin Yuan, et al.. (2023). Sika deer velvet antler protein extract modulater bone metabolism and the structure of gut microbiota in ovariectomized mice. Food Science & Nutrition. 11(6). 3309–3319. 7 indexed citations
4.
Pan, Yuchen, et al.. (2022). Effect of Portulaca oleracea L. on Lowering Uric Acid and Protecting Kidney. SHILAP Revista de lepidopterología.
5.
Lin, Rui, et al.. (2022). Effects of Peroxiredoxin 6 and Its Mutants on the Isoproterenol Induced Myocardial Injury in H9C2 Cells and Rats. Oxidative Medicine and Cellular Longevity. 2022(1). 2576310–2576310. 12 indexed citations
6.
Guo, Xiao, Yujie Ye, Xinzhu Liu, et al.. (2022). Effects of Agaricus blazei acidic polysaccharide on the aging of mice through keap1-Nrf2/ARE and MAPKs signal pathway. Electronic Journal of Biotechnology. 57. 31–41. 5 indexed citations
7.
Li, Yingna, Yu Sheng, Guangyu Xu, et al.. (2021). Hair-growth promoting effect and anti-inflammatory mechanism of Ginkgo biloba polysaccharides. Carbohydrate Polymers. 278. 118811–118811. 44 indexed citations
8.
An, Liping, Yujie Ye, Dankai Wu, et al.. (2021). Protective effect of Sika Deer bone polypeptide extract on dexamethasone-induced osteoporosis in rats. Electronic Journal of Biotechnology. 52. 52–58. 9 indexed citations
9.
Zhang, Bo, Liping An, Bin Geng, et al.. (2019). ERK5 negatively regulates Kruppel-like factor 4 and promotes osteogenic lineage cell proliferation in response to MEK5 overexpression or fluid shear stress. Connective Tissue Research. 62(2). 194–205. 10 indexed citations
10.
Liu, Yanbo, Xuemei Sun, Xiaohui Zhao, et al.. (2018). Expression and location of IL-17A, E, F and their receptors in colorectal adenocarcinoma: Comparison with benign intestinal disease. Pathology - Research and Practice. 214(4). 482–491. 11 indexed citations
11.
Zhang, Bo, Bin Geng, Jing Wang, et al.. (2016). Fluid shear stress promotes osteoblast proliferation via the Gαq–ERK5 signaling pathway. Connective Tissue Research. 57(4). 299–306. 18 indexed citations
12.
Geng, Bin, Bo Zhang, Jing Wang, et al.. (2016). Fluid shear stress suppresses TNF-α-induced apoptosis in MC3T3-E1 cells: Involvement of ERK5-AKT-FoxO3a-Bim/FasL signaling pathways. Experimental Cell Research. 343(2). 208–217. 33 indexed citations
13.
An, Liping, Xiao Han, Yan Ma, et al.. (2016). Effects and mechanism of cerebroprotein hydrolysate on learning and memory ability in mice. Genetics and Molecular Research. 15(3). 15 indexed citations
14.
Geng, Bin, Bo Zhang, Jing Wang, et al.. (2015). Fluid shear stress inhibits TNF-α-induced osteoblast apoptosis via ERK5 signaling pathway. Biochemical and Biophysical Research Communications. 466(1). 117–123. 22 indexed citations
16.
Jiang, Shuang, Dayong Ren, Guangxin Yuan, et al.. (2014). Effects of compound K on hyperglycemia and insulin resistance in rats with type 2 diabetes mellitus. Fitoterapia. 95. 58–64. 67 indexed citations
17.
Jiang, Shuang, Peige Du, Liping An, Guangxin Yuan, & Zhiwei Sun. (2013). Anti-diabetic effect of Coptis Chinensis polysaccharide in high-fat diet with STZ-induced diabetic mice. International Journal of Biological Macromolecules. 55. 118–122. 63 indexed citations
18.
Zhao, Lianggong, Yuanjun Teng, Liping An, et al.. (2013). The MEK5/ERK5 pathway mediates fluid shear stress promoted osteoblast differentiation. Connective Tissue Research. 55(2). 96–102. 22 indexed citations
19.
Guo, Caixia, Yanbo Li, Haixia Zhang, et al.. (2011). Enhancement of Antiproliferative and Proapoptotic Effects of Cadmium Chloride Combined with hSmac in Hepatocellular Carcinoma Cells. Chemotherapy. 57(1). 27–34. 8 indexed citations
20.
Wang, Yajun, et al.. (2010). Production and application of antisera to expression product of CP and CI fusion gene of Lily mottle virus. Acta Phytopathologica Sinica. 40(5). 475–481. 4 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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