Baolan Ji

454 total citations
27 papers, 310 citations indexed

About

Baolan Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Baolan Ji has authored 27 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Cardiology and Cardiovascular Medicine and 9 papers in Epidemiology. Recurrent topics in Baolan Ji's work include Lipid metabolism and disorders (10 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Liver Disease Diagnosis and Treatment (8 papers). Baolan Ji is often cited by papers focused on Lipid metabolism and disorders (10 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Liver Disease Diagnosis and Treatment (8 papers). Baolan Ji collaborates with scholars based in China, Japan and Hong Kong. Baolan Ji's co-authors include Huili Wei, Hua Qu, Huacong Deng, Hang Wang, Bo Ban, Mei Zhang, Chuan Peng, Xiaoqiu Xiao, Huimin Liang and Yao Ding and has published in prestigious journals such as Scientific Reports, BioMed Research International and Molecular Nutrition & Food Research.

In The Last Decade

Baolan Ji

24 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baolan Ji China 11 84 74 64 59 56 27 310
Belgi̇n Efe Türkiye 9 156 1.9× 50 0.7× 70 1.1× 42 0.7× 36 0.6× 21 390
Delia Lidia Șalaru Romania 12 46 0.5× 38 0.5× 77 1.2× 67 1.1× 25 0.4× 42 343
Jung-Nan Wei Taiwan 11 79 0.9× 90 1.2× 182 2.8× 75 1.3× 34 0.6× 12 432
Shulamit Lerner United States 7 102 1.2× 30 0.4× 71 1.1× 52 0.9× 78 1.4× 7 363
Maria Andrikoula Greece 7 134 1.6× 61 0.8× 79 1.2× 23 0.4× 24 0.4× 15 338
Yiyang Zhan China 12 89 1.1× 22 0.3× 56 0.9× 83 1.4× 66 1.2× 23 309
Sahzene Yavuz United States 9 130 1.5× 62 0.8× 51 0.8× 35 0.6× 17 0.3× 13 308
Yesmino Elia Canada 12 113 1.3× 38 0.5× 56 0.9× 79 1.3× 28 0.5× 25 360
Dalia El-Lebedy Egypt 12 95 1.1× 86 1.2× 98 1.5× 60 1.0× 13 0.2× 29 453
De-hong Cai China 11 160 1.9× 46 0.6× 83 1.3× 23 0.4× 29 0.5× 29 354

Countries citing papers authored by Baolan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Baolan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baolan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Baolan Ji. A scholar is included among the top collaborators of Baolan Ji 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 Baolan Ji. Baolan Ji 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.
Ji, Baolan, et al.. (2025). Association between SPISE and NAFLD in patients with type 2 diabetes. Frontiers in Medicine. 12. 1454938–1454938. 1 indexed citations
2.
Ji, Baolan, et al.. (2025). Association Between a New Model of Insulin Sensitivity and Hypertension in Patients With Type 2 Diabetes: A Cross‐Sectional Study. Journal of Clinical Hypertension. 27(2). e70008–e70008.
3.
Wang, Xin, et al.. (2025). Association between FT4/FT3 ratio and microalbuminuria in euthyroid patients with type 2 diabetes mellitus. Scientific Reports. 15(1). 7324–7324. 1 indexed citations
4.
Ji, Baolan, et al.. (2025). The Loge GDR Was Strongly Associated with NAFLD as a Predictor in Normoalbuminuric Patients with Type 2 Diabetes. Diabetes Metabolic Syndrome and Obesity. Volume 18. 115–124.
5.
Sheng, Jie, et al.. (2025). Atherogenic Combined Index is Independently Associated with MASLD in Type 2 Diabetes: A Cross-Sectional Study. Diabetes Metabolic Syndrome and Obesity. Volume 18. 3041–3052.
6.
Ji, Baolan, et al.. (2024). METS-IR, a Novel Simple Insulin Resistance Index, is Associated with NAFLD in Patients with Type 2 Diabetes Mellitus. Diabetes Metabolic Syndrome and Obesity. Volume 17. 3481–3490. 9 indexed citations
7.
Zhang, Tian, et al.. (2021). Association Between Hemoglobin and Growth Hormone Peak in Chinese Children and Adolescents with Short Stature: A Cross-Sectional Study. International Journal of General Medicine. Volume 14. 497–504. 2 indexed citations
8.
Kou, Shuang, Mei Zhang, Baolan Ji, et al.. (2020). Association between systolic blood pressure and uric acid in Chinese children and adolescents with idiopathic short stature: a cross-sectional study. Journal of Human Hypertension. 35(5). 472–478. 2 indexed citations
9.
Li, Dan, et al.. (2020). Association between bilirubin levels and diabetic retinopathy in type 2 diabetes mellitus. Zhonghua neifenmi daixie zazhi. 36(3). 227–234. 1 indexed citations
10.
Zhao, Qianqian, Mei Zhang, Baolan Ji, et al.. (2020). Relationship between hemoglobin and insulin-like growth factor-1 in children and adolescents with idiopathic short stature. BMC Endocrine Disorders. 20(1). 119–119. 6 indexed citations
11.
Zhao, Qianqian, Mei Zhang, Baolan Ji, et al.. (2020). Association between Insulin‐Like Growth Factor‐1 and Relative Skeletal Maturation: A Retrospective Cohort Study of Short Children and Adolescents. BioMed Research International. 2020(1). 8052143–8052143. 6 indexed citations
12.
Sun, Minghui, Wenhua Yan, Qianqian Zhao, et al.. (2020). <p>Association Between Serum Calcium and Phosphorus Levels and Insulin-Like Growth Factor-1 in Chinese Children and Adolescents with Short Stature</p>. International Journal of General Medicine. Volume 13. 1167–1173. 6 indexed citations
13.
Zhang, Yanhong, Baolan Ji, Jinsheng Li, et al.. (2020). SHORT syndrome in two Chinese girls: A case report and review of the literature. Molecular Genetics & Genomic Medicine. 8(9). e1385–e1385. 13 indexed citations
14.
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16.
Wei, Huili, Hua Qu, Hang Wang, et al.. (2017). 1,25-Dihydroxyvitamin-D3 prevents the development of diabetic cardiomyopathy in type 1 diabetic rats by enhancing autophagy via inhibiting the β-catenin/TCF4/GSK-3β/mTOR pathway. The Journal of Steroid Biochemistry and Molecular Biology. 168. 71–90. 54 indexed citations
17.
Ji, Baolan, Hua Qu, Hang Wang, Huili Wei, & Huacong Deng. (2016). The ZJU index: a useful indicator for recognizing insulin resistance in the Chinese general population. Acta Diabetologica. 53(5). 817–823. 18 indexed citations
18.
Wang, Hang, Jian‐Min Wang, Hua Qu, et al.. (2016). In vitro and in vivo inhibition of mTOR by 1,25-dihydroxyvitamin D3 to improve early diabetic nephropathy via the DDIT4/TSC2/mTOR pathway. Endocrine. 54(2). 348–359. 35 indexed citations
19.
Ji, Baolan, Suhua Zhang, Lilin Gong, et al.. (2013). The risk factors of mild decline in estimated glomerular filtration rate in a community-based population. Clinical Biochemistry. 46(9). 750–754. 15 indexed citations
20.
Ji, Baolan, Rong Li, Suhua Zhang, et al.. (2012). The lipid accumulation product is highly related to serum alanine aminotransferase level in male adults. Nutrition Research. 32(8). 581–587. 10 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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