Sunjie Yan

751 total citations
45 papers, 497 citations indexed

About

Sunjie Yan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Sunjie Yan has authored 45 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Physiology. Recurrent topics in Sunjie Yan's work include Nutrition and Health in Aging (7 papers), Metabolism, Diabetes, and Cancer (5 papers) and Bone health and osteoporosis research (5 papers). Sunjie Yan is often cited by papers focused on Nutrition and Health in Aging (7 papers), Metabolism, Diabetes, and Cancer (5 papers) and Bone health and osteoporosis research (5 papers). Sunjie Yan collaborates with scholars based in China, Australia and United Kingdom. Sunjie Yan's co-authors include Ximei Shen, Yongze Zhang, Liyong Yang, Fengying Zhao, Li Luo, Rongrong Yang, Lifeng Zheng, Yun Xie, Ying Jiang and Huanhuan Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Life Sciences.

In The Last Decade

Sunjie Yan

38 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunjie Yan China 14 210 144 113 81 55 45 497
Pijun Yan China 15 186 0.9× 167 1.2× 123 1.1× 64 0.8× 213 3.9× 44 603
Ivan Tack France 17 81 0.4× 138 1.0× 75 0.7× 87 1.1× 83 1.5× 31 658
Viktor J. Horváth Hungary 15 252 1.2× 163 1.1× 98 0.9× 251 3.1× 28 0.5× 40 875
Hangping Zheng China 15 237 1.1× 51 0.4× 184 1.6× 42 0.5× 63 1.1× 31 521
Xiaojing Wang China 14 61 0.3× 251 1.7× 110 1.0× 90 1.1× 49 0.9× 34 587
Jennifer L. Asher United States 9 213 1.0× 186 1.3× 80 0.7× 63 0.8× 62 1.1× 20 586
De-hong Cai China 11 71 0.3× 83 0.6× 160 1.4× 69 0.9× 46 0.8× 29 354
Yidan Pang China 9 103 0.5× 201 1.4× 189 1.7× 101 1.2× 90 1.6× 24 661
Yingshan Liu China 12 101 0.5× 76 0.5× 88 0.8× 55 0.7× 51 0.9× 20 337

Countries citing papers authored by Sunjie Yan

Since Specialization
Citations

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

Fields of papers citing papers by Sunjie Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunjie Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Sunjie Yan. A scholar is included among the top collaborators of Sunjie Yan 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 Sunjie Yan. Sunjie Yan 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.
Tao, Bei, Ximei Shen, Guangfei Li, et al.. (2025). New Evidence, Creative Insights, and Strategic Solutions: Advancing the Understanding and Practice of Diabetes Osteoporosis. Journal of Diabetes. 17(4). e70091–e70091. 2 indexed citations
2.
Zhou, Xiaoying, Tongzhi Wu, Shanhu Qiu, et al.. (2025). Variations in blood pressure after a 75 g oral glucose load and their implications for detecting hypertension and postprandial hypotension in Chinese adults: a cross-sectional study. European Journal of Preventive Cardiology. 32(14). 1382–1391.
3.
Zhang, Yongze, et al.. (2025). Predictive efficacy of different diagnostic criteria for sarcopenia in osteoporosis and fractures. Scientific Reports. 15(1). 9473–9473. 1 indexed citations
4.
Zheng, Lifeng, Chao Lan, An Zhu, et al.. (2025). Landscape analysis of m6A modification reveals the dysfunction of bone metabolism in osteoporosis mice. Heliyon. 11(3). e42123–e42123.
5.
Zhang, Yongze, et al.. (2024). Association of high vibration perception threshold with reduced renal function in patients with type 2 diabetes. Frontiers in Endocrinology. 15. 1357294–1357294.
7.
Yan, Sunjie, et al.. (2023). Oxidative behaviour, aggregation and structural properties of silver carp myofibrillar proteins with different molecular states subjected to freeze–thaw process. International Journal of Food Science & Technology. 59(3). 2056–2067. 6 indexed citations
8.
Shen, Ximei, et al.. (2023). Suppression of TLR4 prevents diabetic bone loss by regulating FTO-mediated m6A modification. International Immunopharmacology. 122. 110510–110510. 13 indexed citations
9.
Zheng, Lifeng, Ximei Shen, Yun Xie, et al.. (2023). Metformin promotes osteogenic differentiation and prevents hyperglycaemia-induced osteoporosis by suppressing PPARγ expression. Acta Biochimica et Biophysica Sinica. 55(3). 394–403. 11 indexed citations
10.
Zhang, Yongze, et al.. (2021). Relationship between Hyponatremia and Peripheral Neuropathy in Patients with Diabetes. Journal of Diabetes Research. 2021. 1–11. 8 indexed citations
11.
Lin, Yuxi, et al.. (2021). Influence of glucose, insulin fluctuation, and glycosylated hemoglobin on the outcome of sarcopenia in patients with type 2 diabetes mellitus. Journal of Diabetes and its Complications. 35(6). 107926–107926. 10 indexed citations
12.
Hong, Xinyu, et al.. (2021). Stronger Association of Albuminuria with the Risk of Vascular Complications than Estimated Glomerular Filtration Rate in Type 2 Diabetes. Kidney & Blood Pressure Research. 46(5). 550–562. 4 indexed citations
13.
Liang, Bo, et al.. (2021). Glycolipid toxicity induces osteogenic dysfunction via the TLR4/S100B pathway. International Immunopharmacology. 97. 107792–107792. 9 indexed citations
14.
Ming, Zhong, et al.. (2021). Change in Urine Albumin-to-Creatinine Ratio and Risk of Diabetic Peripheral Neuropathy in Type 2 Diabetes: A Retrospective Cohort Study. Diabetes Metabolic Syndrome and Obesity. Volume 14. 1763–1772. 8 indexed citations
15.
Zhang, Yongze, Ximei Shen, Lanlan He, Fengying Zhao, & Sunjie Yan. (2020). Association of sarcopenia and muscle mass with both peripheral neuropathy and nerve function in patients with type 2 diabetes. Diabetes Research and Clinical Practice. 162. 108096–108096. 18 indexed citations
16.
Yan, Sunjie, et al.. (2019). TLR4 knockout can improve dysfunction of β-cell by rebalancing proteomics disorders in pancreas of obese rats. Endocrine. 67(1). 67–79. 18 indexed citations
18.
Zhang, Yongze, Ximei Shen, Ling Cheng, et al.. (2019). Toll-like receptor 4 knockout protects against diabetic-induced imbalance of bone metabolism via autophagic suppression. Molecular Immunology. 117. 12–19. 19 indexed citations
19.
Zhang, Yongze, Ying Jiang, Ximei Shen, & Sunjie Yan. (2017). Can both normal and mildly abnormal albuminuria and glomerular filtration rate be a danger signal for diabetic peripheral neuropathy in type 2 diabetes mellitus?. Neurological Sciences. 38(8). 1381–1390. 26 indexed citations
20.
Yang, Liyong, et al.. (2013). HbA1c in the diagnosis of diabetes and abnormal glucose tolerance in patients with Graves’ hyperthyroidism. Diabetes Research and Clinical Practice. 101(1). 28–34. 12 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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