Sheng-Qiu Tang

580 total citations
23 papers, 425 citations indexed

About

Sheng-Qiu Tang is a scholar working on Molecular Biology, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Sheng-Qiu Tang has authored 23 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Animal Science and Zoology and 5 papers in Epidemiology. Recurrent topics in Sheng-Qiu Tang's work include Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Regulation of Appetite and Obesity (4 papers). Sheng-Qiu Tang is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Regulation of Appetite and Obesity (4 papers). Sheng-Qiu Tang collaborates with scholars based in China, United States and Hong Kong. Sheng-Qiu Tang's co-authors include Xiaoying Dong, Xiaoying Dong, Qingyan Jiang, Jinding Chen, Xiaoting Zou, Haiyun Li, Dingyuan Feng, Wei Zhang, Xiuqi Wang and Ping Gao and has published in prestigious journals such as Chemical Engineering Journal, PLoS Pathogens and International Journal of Biological Macromolecules.

In The Last Decade

Sheng-Qiu Tang

20 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng-Qiu Tang China 11 148 104 102 64 64 23 425
Tomomi Sugimoto Japan 12 326 2.2× 126 1.2× 78 0.8× 47 0.7× 128 2.0× 19 596
David A. Landry Canada 10 135 0.9× 66 0.6× 57 0.6× 19 0.3× 16 0.3× 19 456
Angela M. Gajda United States 7 183 1.2× 86 0.8× 11 0.1× 65 1.0× 102 1.6× 13 434
Xiaoyi Zhang China 13 99 0.7× 32 0.3× 51 0.5× 18 0.3× 40 0.6× 22 381
Xiaogan Yang China 15 252 1.7× 35 0.3× 23 0.2× 47 0.7× 74 1.2× 61 609
Liangzhi Zhang China 11 165 1.1× 52 0.5× 51 0.5× 16 0.3× 23 0.4× 32 407
Jéssica Aparecida da Silva Pereira Brazil 10 206 1.4× 130 1.3× 78 0.8× 41 0.6× 58 0.9× 17 531
Norma Lister United Kingdom 9 115 0.8× 36 0.3× 63 0.6× 49 0.8× 147 2.3× 10 373
Zixuan Guo China 14 421 2.8× 141 1.4× 10 0.1× 56 0.9× 105 1.6× 32 701
Jenny Jansen Germany 8 157 1.1× 115 1.1× 11 0.1× 44 0.7× 73 1.1× 10 412

Countries citing papers authored by Sheng-Qiu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng-Qiu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng-Qiu Tang. 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 Sheng-Qiu Tang. The network helps show where Sheng-Qiu Tang may publish in the future.

Co-authorship network of co-authors of Sheng-Qiu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Qiu Tang. A scholar is included among the top collaborators of Sheng-Qiu Tang 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 Sheng-Qiu Tang. Sheng-Qiu Tang 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.
Dong, Xiaoying, Yongjian Li, Shuang Gao, et al.. (2025). Regulation of LCN-2/PI3K/Akt on TNF-α induced inflammatory response of porcine intramuscular adipocytes. In Vitro Cellular & Developmental Biology - Animal. 61(8). 966–976.
2.
Lu, Han, Xuwei Liu, Weixiong Li, et al.. (2024). Innovative probiotic Escherichia coli nissle 1917-derived outer membrane vesicles coupled microspheres demonstrate anti-inflammatory and barrier-enhancing properties in colitis. Chemical Engineering Journal. 487. 150711–150711. 19 indexed citations
3.
Wang, Ruonan, Sheng-Qiu Tang, Xiaoying Dong, et al.. (2024). Exosomal circ_CCDC7/gga-miR-6568-3p/Pax7 axis accelerates the differentiation of chicken embryonic stem cells infected with subgroup J avian leukosis virus. Poultry Science. 103(8). 103898–103898. 1 indexed citations
4.
Li, Gong, Tengfei Long, Shiying Zhou, et al.. (2024). CRISPR-AMRtracker: A novel toolkit to monitor the antimicrobial resistance gene transfer in fecal microbiota. Drug Resistance Updates. 77. 101142–101142. 1 indexed citations
5.
Tang, Sheng-Qiu, Xiaoying Dong, Ruiheng Liu, et al.. (2024). Analysis of metagenome and metabolome disclosed the mechanisms of Dendrobium officinale polysaccharide on DSS-induced ulcerative colitis-affected mice. International Journal of Biological Macromolecules. 277(Pt 2). 134229–134229. 15 indexed citations
6.
Liang, Yifan, Qi Gao, Zhao Huang, et al.. (2024). ALIX and TSG101 are essential for cellular entry and replication of two porcine alphacoronaviruses. PLoS Pathogens. 20(3). e1012103–e1012103. 5 indexed citations
7.
Liang, Yifan, Zhijun Weng, Xi Li, et al.. (2024). Subcellular localization of viral proteins after porcine epidemic diarrhea virus infection and their roles in the viral life cycle. International Journal of Biological Macromolecules. 274(Pt 2). 133401–133401. 4 indexed citations
8.
9.
Han, Lu, Lulu Tan, Dunsheng Liang, et al.. (2023). Self-assembly of H2S-responsive nanoprodrugs based on natural rhein and geraniol for targeted therapy against Salmonella Typhimurium. Journal of Nanobiotechnology. 21(1). 483–483. 5 indexed citations
10.
Dong, Xiaoying, et al.. (2018). Adiponectin Enhances Biological Functions of Vascular Endothelial Progenitor Cells Through the mTOR-STAT3 Signaling Pathway. Physiological Research. 67(4). 563–570. 5 indexed citations
11.
12.
Dong, Xiaoying, Sheng-Qiu Tang, Wei Zhang, Weihua Gao, & Yanfei Chen. (2015). GPR39 activates proliferation and differentiation of porcine intramuscular preadipocytes through targeting the PI3K/AKT cell signaling pathway. Journal of Receptors and Signal Transduction. 36(2). 130–138. 35 indexed citations
13.
Tang, Sheng-Qiu, Xiaoying Dong, & Wei Zhang. (2014). Obestatin changes proliferation, differentiation and apoptosis of porcine preadipocytes. Annales d Endocrinologie. 75(1). 1–9. 13 indexed citations
14.
Tang, Sheng-Qiu, et al.. (2013). Effect of Bacillus subtilis natto on growth performance in Muscovy ducks. Brazilian Journal of Poultry Science. 15(3). 191–197. 10 indexed citations
15.
Dong, Xiaoying, Sheng-Qiu Tang, & Jinding Chen. (2012). Dual functions of Insig proteins in cholesterol homeostasis. Lipids in Health and Disease. 11(1). 173–173. 43 indexed citations
16.
Tang, Sheng-Qiu, et al.. (2011). Research and development of Lipin family. Hereditas (Beijing). 32(10). 981–993. 5 indexed citations
17.
Dong, Xiaoying & Sheng-Qiu Tang. (2010). Insulin-induced gene: A new regulator in lipid metabolism. Peptides. 31(11). 2145–2150. 95 indexed citations
18.
Dong, Xiaoying, Jian Xu, Sheng-Qiu Tang, et al.. (2009). Ghrelin and its biological effects on pigs. Peptides. 30(6). 1203–1211. 27 indexed citations
19.
Dong, Xiaoying, et al.. (2008). Is GPR39 the natural receptor of obestatin?. Peptides. 30(2). 431–438. 33 indexed citations
20.
Tang, Sheng-Qiu, Qingyan Jiang, Yongliang Zhang, et al.. (2008). Obestatin: Its physicochemical characteristics and physiological functions. Peptides. 29(4). 639–645. 61 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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