Yongqiang Li

757 total citations
31 papers, 586 citations indexed

About

Yongqiang Li is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Yongqiang Li has authored 31 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Nephrology. Recurrent topics in Yongqiang Li's work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), MicroRNA in disease regulation (7 papers) and Cancer-related molecular mechanisms research (7 papers). Yongqiang Li is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), MicroRNA in disease regulation (7 papers) and Cancer-related molecular mechanisms research (7 papers). Yongqiang Li collaborates with scholars based in China, Ireland and United States. Yongqiang Li's co-authors include Hequn Zou, Xiaofei Shao, Harry Holthöfer, Shanying Chen, Yan Liang, Hequn Zou, Youming Chen, Qian Ge, Mi Li and Xinyu Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Yongqiang Li

29 papers receiving 574 citations

Peers

Yongqiang Li

EPIDE

EDM

NEPHR

Chris Rivard United States

Gonzalo P. Méndez Chile

Won Jin Kim South Korea

Huiping Zhao China

Nuno Cortez‐Dias Portugal

Parth Patel United States

Jakub Kucharz Poland

Michael M. Braun United States

Irene Silva Spain

Chris Rivard United States

Yongqiang Li

151 ×0.8

175 ×1.0

EPIDE

142 ×0.9

EDM

322 ×2.1

NEPHR

18 ×0.1

Citations per year, relative to Yongqiang Li Yongqiang Li (= 1×) peers Chris Rivard

Countries citing papers authored by Yongqiang Li

Since Specialization

Citations

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

Fields of papers citing papers by Yongqiang Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongqiang Li

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

All Works

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20 of 20 papers shown

Li, Yongqiang, Yong Lin, Dongcheng Chen, et al.. (2025). Roles of the gut microbiota in hepatocellular carcinoma: from the gut dysbiosis to the intratumoral microbiota. Cell Death Discovery. 11(1). 140–140. 14 indexed citations

Li, Yongqiang, et al.. (2022). Circular RNAs in atherosclerosis. Clinica Chimica Acta. 531. 71–80. 20 indexed citations

Huang, Yuxiang, et al.. (2022). Os LncRNAs Estão Envolvidos no Processo de Aterosclerose em Diversos Níveis. Arquivos Brasileiros de Cardiologia. 118(6). 1134–1140. 1 indexed citations

Huang, Yuxiang, et al.. (2021). Correlation between thyroid autoantibodies and cardiovascular disease in patients with stages 3–5 chronic kidney disease. Annals of Translational Medicine. 9(16). 1301–1301. 4 indexed citations

Li, Yongqiang, et al.. (2021). Benzodiazepines safeguards nerve cells from the toxicity of lidocaine via miR-133a-3p/EGFR pathway. Transplant Immunology. 71. 101510–101510.

Chen, Shaojun, et al.. (2020). MicroRNA-145 suppresses epithelial to mesenchymal transition in pancreatic cancer cells by inhibiting TGF-β signaling pathway. Journal of Cancer. 11(9). 2716–2723. 13 indexed citations

Huang, Yuxiang, Liqin Zhao, Jingyu Chen, et al.. (2020). PBMCs to Stress‐Associated miR‐18a‐5p and miR‐22‐3p Ratios as New Indicators of Metabolic Syndrome. BioMed Research International. 2020(1). 8159342–8159342. 8 indexed citations

Ge, Qian, et al.. (2019). Efficacy and safety of glucocorticoids for patients with IgA nephropathy: a meta-analysis. International Urology and Nephrology. 51(5). 859–868. 10 indexed citations

Xie, Mingzhi, Yufeng Lv, Zhihui Liu, et al.. (2018). Identification and validation of a four-miRNA(miRNA-21-5p, miRNA-9-5p, miR-149-5p, and miRNA-30b-5p) prognosis signature in clear cell renal cell carcinoma. Cancer Management and Research. Volume 10. 5759–5766. 28 indexed citations

10.

Li, Yongqiang, et al.. (2018). Identification of chronic kidney disease risk in relatively lean Southern Chinese: the hypertriglyceridemic waist phenotype vs. anthropometric indexes. Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity. 23(6). 885–892. 6 indexed citations

11.

Li, Yongqiang, et al.. (2017). MicroRNA-29a functions as a potential tumor suppressor through directly targeting CDC42 in non-small cell lung cancer. Oncology Letters. 13(5). 3896–3904. 22 indexed citations

12.

Zhao, Zhihong, et al.. (2015). The efficacy and safety of rituximab in treating childhood refractory nephrotic syndrome: A meta-analysis. Scientific Reports. 5(1). 8219–8219. 25 indexed citations

13.

Huang, Jun, Yongqiang Li, Shuangshuang Zhu, et al.. (2015). Visceral adiposity index, hypertriglyceridemic waist phenotype and chronic kidney disease in a southern Chinese population: a cross-sectional study. International Urology and Nephrology. 47(8). 1387–1396. 23 indexed citations

14.

Li, Yongqiang, Xiaofei Shao, Xinyu Liu, et al.. (2014). Hypertriglyceridemic Waist Phenotype and Chronic Kidney Disease in a Chinese Population Aged 40 Years and Older. PLoS ONE. 9(3). e92322–e92322. 21 indexed citations

15.

Zhao, Zhihong, et al.. (2014). Prognostic Value of Carbonic Anhydrase IX Immunohistochemical Expression in Renal Cell Carcinoma: A Meta-Analysis of the Literature. PLoS ONE. 9(11). e114096–e114096. 31 indexed citations

16.

Li, Yongqiang, Liqin Zhao, Xinyu Liu, et al.. (2013). Prevalence and distribution of metabolic syndrome in a southern Chinese population. Relation to exercise, smoking, and educational level.. PubMed. 34(9). 929–36. 7 indexed citations

17.

Gu, Dongfeng, Youming Chen, Hongmei Liu, et al.. (2013). Prevalence of chronic kidney disease and prediabetes and associated risk factors: a community-based screening in Zhuhai, Southern China. Chinese Medical Journal. 126(7). 1213–1219. 16 indexed citations

18.

Chen, Shanying, Youming Chen, Xinyu Liu, et al.. (2013). Association of Insulin Resistance with Chronic Kidney Disease in Non-Diabetic Subjects with Normal Weight. PLoS ONE. 8(9). e74058–e74058. 40 indexed citations

19.

Chen, Shanying, Youming Chen, Xinyu Liu, et al.. (2013). Insulin resistance and metabolic syndrome in normal-weight individuals. Endocrine. 46(3). 496–504. 47 indexed citations

20.

Chen, Shanying, Xinyu Liu, Yongqiang Li, et al.. (2013). Central Obesity, C-Reactive Protein and Chronic Kidney Disease: A Community-Based Cross-Sectional Study in Southern China. Kidney & Blood Pressure Research. 37(4-5). 392–401. 30 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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