Biying Meng

439 total citations
9 papers, 230 citations indexed

About

Biying Meng is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Biying Meng has authored 9 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Biying Meng's work include Pancreatic function and diabetes (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper) and Autophagy in Disease and Therapy (1 paper). Biying Meng is often cited by papers focused on Pancreatic function and diabetes (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper) and Autophagy in Disease and Therapy (1 paper). Biying Meng collaborates with scholars based in China and United States. Biying Meng's co-authors include Guangda Xiang, Yan Ding, Biao Zhu, Min Liu, Lin Xiang, Bei Guo, Jing Dong, Lingwei Xiang, Yixiang Li and Xiaoli Xu and has published in prestigious journals such as Endocrinology, Arteriosclerosis Thrombosis and Vascular Biology and Science Advances.

In The Last Decade

Biying Meng

9 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Biying Meng China	9	93	46	41	41	33	9	230
Francesca Bartoli‐Leonard United States	7	105 1.1×	61 1.3×	39 1.0×	35 0.9×	40 1.2×	17	275
Longwei Zhao China	8	250 2.7×	46 1.0×	40 1.0×	37 0.9×	33 1.0×	13	347
Jayakumar Manoharan Germany	7	125 1.3×	45 1.0×	44 1.1×	52 1.3×	36 1.1×	9	269
Xinxin Pang China	13	145 1.6×	57 1.2×	53 1.3×	38 0.9×	88 2.7×	19	333
Kelly Kernan United States	8	111 1.2×	20 0.4×	49 1.2×	23 0.6×	41 1.2×	10	240
Xinbo Zhang United States	6	128 1.4×	46 1.0×	59 1.4×	71 1.7×	16 0.5×	13	287
Cecilia Frej Sweden	6	196 2.1×	28 0.6×	68 1.7×	52 1.3×	18 0.5×	7	311
Yonglun Kong China	10	147 1.6×	31 0.7×	42 1.0×	23 0.6×	68 2.1×	16	320
Shuzhen Sun China	9	52 0.6×	25 0.5×	23 0.6×	41 1.0×	67 2.0×	29	234
Kehui Yang China	7	107 1.2×	37 0.8×	37 0.9×	27 0.7×	18 0.5×	14	253

Countries citing papers authored by Biying Meng

Since Specialization

Citations

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

Fields of papers citing papers by Biying Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biying Meng

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

All Works

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9 of 9 papers shown

1.

Ding, Yan, Xiaoli Xu, Biying Meng, et al.. (2023). Myeloid-derived growth factor alleviates non-alcoholic fatty liver disease alleviates in a manner involving IKKβ/NF-κB signaling. Cell Death and Disease. 14(6). 376–376. 15 indexed citations

2.

Xu, Jinling, Hui Zhou, Yangyang Cheng, et al.. (2023). Inflammatory Cell–Derived MYDGF Attenuates Endothelial LDL Transcytosis to Protect Against Atherogenesis. Arteriosclerosis Thrombosis and Vascular Biology. 43(11). e443–e467. 15 indexed citations

3.

Xu, Xiaoli, Biying Meng, Yin Sun, et al.. (2021). Neuregulin 4 Attenuates Osteoarthritis Progression by Inhibiting Inflammation and Apoptosis of Chondrocytes in Mice. Calcified Tissue International. 110(1). 131–142. 11 indexed citations

4.

Meng, Biying, Yixiang Li, Yan Ding, et al.. (2021). Myeloid-derived growth factor inhibits inflammation and alleviates endothelial injury and atherosclerosis in mice. Science Advances. 7(21). 53 indexed citations

5.

Wang, Li, Yixiang Li, Bei Guo, et al.. (2020). Myeloid-Derived Growth Factor Promotes Intestinal Glucagon-Like Peptide-1 Production in Male Mice With Type 2 Diabetes. Endocrinology. 161(2). 23 indexed citations

6.

Zhu, Biao, Mei Wen, Ting Jiao, et al.. (2020). Neuregulin 4 alleviates hepatic steatosis via activating AMPK/mTOR-mediated autophagy in aged mice fed a high fat diet. European Journal of Pharmacology. 884. 173350–173350. 23 indexed citations

7.

Li, Yixiang, Li Wang, Bei Guo, et al.. (2020). MYDGF attenuates podocyte injury and proteinuria by activating Akt/BAD signal pathway in mice with diabetic kidney disease. Diabetologia. 63(9). 1916–1931. 43 indexed citations

8.

Ding, Yan, Huaji Jiang, Biying Meng, et al.. (2019). Sweroside‐mediated mTORC1 hyperactivation in bone marrow mesenchymal stem cells promotes osteogenic differentiation. Journal of Cellular Biochemistry. 120(9). 16025–16036. 22 indexed citations

9.

Zhu, Biao, Yixiang Li, Mei Wen, et al.. (2018). Alogliptin improves endothelial function by promoting autophagy in perivascular adipose tissue of obese mice through a GLP-1-dependent mechanism. Vascular Pharmacology. 115. 55–63. 25 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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