Shengbing Li

1.1k total citations
51 papers, 842 citations indexed

About

Shengbing Li is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Shengbing Li has authored 51 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Physiology and 9 papers in Epidemiology. Recurrent topics in Shengbing Li's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (5 papers) and Higher Education Governance and Development (4 papers). Shengbing Li is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (5 papers) and Higher Education Governance and Development (4 papers). Shengbing Li collaborates with scholars based in China, United States and Czechia. Shengbing Li's co-authors include Gangyi Yang, Ling Li, Mengliu Yang, Peilei Liu, Yufa Peng, Lanzhi Han, Maolin Hou, Guenther Boden, Dongfang Liu and Hua Liu and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Shengbing Li

48 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengbing Li China 17 252 220 118 100 97 51 842
Shigeru Nakamura Japan 23 220 0.9× 205 0.9× 39 0.3× 61 0.6× 45 0.5× 62 1.5k
Yanli Zhu China 16 486 1.9× 111 0.5× 91 0.8× 38 0.4× 80 0.8× 48 955
Jinhwan Lim United States 16 395 1.6× 186 0.8× 38 0.3× 63 0.6× 138 1.4× 28 1.3k
Hyun Kyung Kim South Korea 17 192 0.8× 60 0.3× 48 0.4× 54 0.5× 58 0.6× 46 933
Huajun Yang China 19 323 1.3× 134 0.6× 100 0.8× 30 0.3× 110 1.1× 62 912
Akiko Yamashita Japan 18 249 1.0× 189 0.9× 184 1.6× 10 0.1× 137 1.4× 43 914
Sara Santaniello Italy 18 408 1.6× 132 0.6× 40 0.3× 40 0.4× 138 1.4× 25 897
Mohammad Afshar Iran 17 154 0.6× 58 0.3× 37 0.3× 43 0.4× 55 0.6× 81 741
Karen M. Keane United Kingdom 18 264 1.0× 138 0.6× 43 0.4× 39 0.4× 18 0.2× 42 1.1k

Countries citing papers authored by Shengbing Li

Since Specialization
Citations

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

Fields of papers citing papers by Shengbing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengbing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shengbing Li. A scholar is included among the top collaborators of Shengbing 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 Shengbing Li. Shengbing Li 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.
Li, Shengbing, Ana Merino, Sander S. Korevaar, et al.. (2025). Mesenchymal stromal cell-derived membrane particles suppress kidney fibrosis. Stem Cell Research & Therapy. 16(1). 405–405. 1 indexed citations
2.
Li, Shengbing, Yitian Fang, David Schumacher, et al.. (2025). Cellular Responses During Kidney Normothermic Machine Perfusion Reflect Graft Outcomes. Kidney International Reports. 10(11). 4012–4026. 1 indexed citations
3.
4.
Tian, Mingyuan, et al.. (2024). Combined serum CTRP7 and CTRP15 levels as a novel biomarker for insulin resistance and type 2 diabetes mellitus. Heliyon. 10(9). e30029–e30029. 4 indexed citations
5.
Wu, Jing, Wenwen Chen, Shue Li, et al.. (2024). NOD1 deficiency ameliorates the progression of diabetic retinopathy by modulating bone marrow–retina crosstalk. Stem Cell Research & Therapy. 15(1). 38–38. 3 indexed citations
6.
Fang, Ronghua, Jie Chen, Shengbing Li, et al.. (2023). Empagliflozin improves kidney senescence induced by d-galactose by reducing sirt1-mediated oxidative stress. Biogerontology. 24(5). 771–782. 11 indexed citations
7.
Bilal, Boubellouta, et al.. (2022). Virtual Learning During the COVID-19 Pandemic: A Bibliometric Review and Future Research Agenda. Risk Management and Healthcare Policy. Volume 15. 1353–1368. 23 indexed citations
8.
Yasmin, Fakhra, et al.. (2022). Exploring the Motivational Factors for International Students to Study in Chinese Higher Education Institutions. Frontiers in Psychology. 13. 938986–938986. 3 indexed citations
9.
Yasmin, Fakhra, Shengbing Li, Yan Zhang, Petra Poulová, & Ahsan Akbar. (2021). Unveiling the International Students’ Perspective of Service Quality in Chinese Higher Education Institutions. Sustainability. 13(11). 6008–6008. 18 indexed citations
10.
Wang, Cong, Miao He, Shengbing Li, et al.. (2019). Increased plasma osteopontin levels are associated with nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus. Cytokine. 125. 154837–154837. 16 indexed citations
11.
Huang, Qinghua, et al.. (2019). Predicting significance of COX-2 expression of peripheral blood monocyte in patients with coronary artery disease. Annals of Translational Medicine. 7(18). 483–483. 5 indexed citations
12.
Tian, Jing, Gangyi Yang, Shengbing Li, et al.. (2015). Trends in the Levels of Serum Lipids and Lipoproteins and the Prevalence of Dyslipidemia in Adults with Newly Diagnosed Type 2 Diabetes in the Southwest Chinese Han Population during 2003–2012. International Journal of Endocrinology. 2015. 1–7. 9 indexed citations
13.
Li, Minyan, Mengliu Yang, Xiaoxin Zhou, et al.. (2015). Elevated Circulating Levels of Irisin and the Effect of Metformin Treatment in Women With Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 100(4). 1485–1493. 87 indexed citations
14.
Yang, Mengliu, Zhihong Zhang, Chong Wang, et al.. (2012). Nesfatin-1 Action in the Brain Increases Insulin Sensitivity Through Akt/AMPK/TORC2 Pathway in Diet-Induced Insulin Resistance. Diabetes. 61(8). 1959–1968. 121 indexed citations
15.
Li, Tao, Ying Hou, Wei Cao, et al.. (2011). Role of dopamine D3 receptors in basal nociception regulation and in morphine-induced tolerance and withdrawal. Brain Research. 1433. 80–84. 23 indexed citations
16.
Xu, Shengnan, et al.. (2011). Elevated Adipose Triglyceride Lipase in Newly Diagnosed Type 2 Diabetes Mellitus With Hypertension. The American Journal of the Medical Sciences. 342(6). 452–455. 7 indexed citations
17.
Li, Tao, Ying Hou, Chunxia Yan, et al.. (2010). Dopamine D3 receptor knock-out mice display deficits in locomotor sensitization after chronic morphine administration. Neuroscience Letters. 485(3). 256–260. 25 indexed citations
18.
Li, Shengbing. (2007). Influence of the Different Combination of Huangqi on the Quantity of Huangqi Playodin in Huangqi Guizhi Wuwu Tang. Lishizhen Medicine and Materia Medica Research. 1 indexed citations
19.
20.
Li, Shengbing. (2005). The Evaluation Index System of Internationalization of Universities. Journal of South China Normal University. 1 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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