Lingxia Pang

903 total citations
31 papers, 736 citations indexed

About

Lingxia Pang is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Lingxia Pang has authored 31 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Physiology. Recurrent topics in Lingxia Pang's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Adipose Tissue and Metabolism (8 papers). Lingxia Pang is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Adipose Tissue and Metabolism (8 papers). Lingxia Pang collaborates with scholars based in China and United States. Lingxia Pang's co-authors include Xirong Guo, Chenbo Ji, Chunmei Shi, Lei Yang, Ling Chen, Guangfeng Xu, Yuhui Ni, Ling Chen, Xianwei Cui and Xia Chi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Lingxia Pang

30 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingxia Pang China 15 390 381 195 165 66 31 736
Guangfeng Xu China 12 385 1.0× 373 1.0× 220 1.1× 162 1.0× 56 0.8× 14 667
Jesper Grud Skat Madsen Denmark 15 626 1.6× 129 0.3× 419 2.1× 268 1.6× 78 1.2× 20 1.1k
Sorim Choung South Korea 11 528 1.4× 293 0.8× 107 0.5× 125 0.8× 40 0.6× 18 764
Anying Song China 13 317 0.8× 101 0.3× 429 2.2× 265 1.6× 90 1.4× 21 794
Aijun Qiao China 13 396 1.0× 171 0.4× 124 0.6× 103 0.6× 64 1.0× 29 619
Zhong’e Zhou China 4 300 0.8× 117 0.3× 60 0.3× 97 0.6× 58 0.9× 4 541
Rulin Zhuang China 13 385 1.0× 101 0.3× 182 0.9× 50 0.3× 92 1.4× 26 609
Zhe Wei China 13 396 1.0× 223 0.6× 96 0.5× 79 0.5× 135 2.0× 27 700
RE Brenner Germany 6 254 0.7× 72 0.2× 236 1.2× 194 1.2× 36 0.5× 7 547

Countries citing papers authored by Lingxia Pang

Since Specialization
Citations

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

Fields of papers citing papers by Lingxia Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingxia Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingxia Pang. A scholar is included among the top collaborators of Lingxia Pang 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 Lingxia Pang. Lingxia Pang 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
2.
Zheng, Xiang, et al.. (2025). Defect-engineered PdOv-TiOX nanozymes with NIR-II responsiveness for synergistic photothermal–chemodynamic therapy of drug-resistant bacterial infections. Chemical Engineering Journal. 521. 166943–166943. 1 indexed citations
3.
Wang, Boxiang, Yiying Zhang, Lingxia Pang, et al.. (2024). miR-210-5p Promotes Pulmonary Hypertension by Blocking ATP2A2. Cardiovascular Drugs and Therapy. 39(4). 711–719. 1 indexed citations
4.
Shi, Yujie, et al.. (2022). Maternal micronutrient disturbance as risks of offspring metabolic syndrome. Journal of Trace Elements in Medicine and Biology. 75. 127097–127097. 4 indexed citations
5.
Zheng, Xiang, et al.. (2020). GSK3β-Ikaros-ANXA4 signaling inhibits high-glucose-induced fibroblast migration. Biochemical and Biophysical Research Communications. 531(4). 543–551. 5 indexed citations
6.
Wang, Yan, Xianwei Cui, Yan Cao, et al.. (2020). The Effect of FOXC2-AS1 on White Adipocyte Browning and the Possible Regulatory Mechanism. Frontiers in Endocrinology. 11. 565483–565483. 14 indexed citations
7.
Wang, Xiaofang, Xie Zhang, Fan Wang, et al.. (2019). FGF1 protects against APAP-induced hepatotoxicity via suppression of oxidative and endoplasmic reticulum stress. Clinics and Research in Hepatology and Gastroenterology. 43(6). 707–714. 12 indexed citations
8.
Chen, Ling, Xingyun Wang, Jingai Zhu, et al.. (2018). PID1 in adipocytes modulates whole-body glucose homeostasis. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1861(2). 125–132. 13 indexed citations
9.
Wang, Qing, et al.. (2017). Annexin A2 functions downstream of c-Jun N-terminal kinase to promote skin fibroblast cell migration. Molecular Medicine Reports. 15(6). 4207–4216. 3 indexed citations
10.
Shi, Chunmei, Lingxia Pang, Chenbo Ji, et al.. (2016). Obesity-associated miR-148a is regulated by cytokines and adipokines via a transcriptional mechanism. Molecular Medicine Reports. 14(6). 5707–5712. 18 indexed citations
11.
Pang, Lingxia, Lianghui You, Chenbo Ji, et al.. (2016). miR-1275 inhibits adipogenesis via ELK1 and its expression decreases in obese subjects. Journal of Molecular Endocrinology. 57(1). 33–43. 27 indexed citations
12.
Pang, Lingxia, et al.. (2016). Transcriptomic study of high-glucose effects on human skin fibroblast cells. Molecular Medicine Reports. 13(3). 2627–2634. 23 indexed citations
13.
Shi, Chunmei, Min Zhang, Meiling Tong, et al.. (2015). miR-148a is Associated with Obesity and Modulates Adipocyte Differentiation of Mesenchymal Stem Cells through Wnt Signaling. Scientific Reports. 5(1). 9930–9930. 147 indexed citations
14.
Shi, Chunmei, Lijun Zhu, Xiaohong Chen, et al.. (2014). IL-6 and TNF-α Induced Obesity-Related Inflammatory Response Through Transcriptional Regulation of miR-146b. Journal of Interferon & Cytokine Research. 34(5). 342–348. 94 indexed citations
15.
Chen, Jiantao, Xianwei Cui, Chunmei Shi, et al.. (2014). Differential lncRNA expression profiles in brown and white adipose tissues. Molecular Genetics and Genomics. 290(2). 699–707. 29 indexed citations
16.
Yang, Lei, Chunmei Shi, Ling Chen, et al.. (2014). The biological effects of hsa-miR-1908 in human adipocytes. Molecular Biology Reports. 42(5). 927–935. 27 indexed citations
17.
Jiang, Xinye, Lei Yang, Lingxia Pang, et al.. (2014). Expression of obesity-related miR-1908 in human adipocytes is regulated by adipokines, free fatty acids and hormones. Molecular Medicine Reports. 10(2). 1164–1169. 21 indexed citations
18.
Jiang, Xinye, Mei Xue, Ziyi Fu, et al.. (2014). Insight into the Effects of Adipose Tissue Inflammation Factors on miR-378 Expression and the Underlying Mechanism. Cellular Physiology and Biochemistry. 33(6). 1778–1788. 32 indexed citations
19.
Chen, Ling, Chenbo Ji, Lei Yang, et al.. (2014). MiR-146b is a regulator of human visceral preadipocyte proliferation and differentiation and its expression is altered in human obesity. Molecular and Cellular Endocrinology. 393(1-2). 65–74. 89 indexed citations
20.
Zhang, Jun, Xianwei Cui, Yahui Shen, et al.. (2013). Distinct expression profiles of LncRNAs between brown adipose tissue and skeletal muscle. Biochemical and Biophysical Research Communications. 443(3). 1028–1034. 24 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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