Jiemin Pan

1.0k total citations
34 papers, 574 citations indexed

About

Jiemin Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Jiemin Pan has authored 34 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Jiemin Pan's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (8 papers) and Metabolism, Diabetes, and Cancer (7 papers). Jiemin Pan is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (8 papers) and Metabolism, Diabetes, and Cancer (7 papers). Jiemin Pan collaborates with scholars based in China, India and United States. Jiemin Pan's co-authors include Weiping Jia, Yuqian Bao, Junling Tang, Weijing Zhao, Haoyong Yu, Jian Zhou, Yajuan Huang, Wolin Hou, Minfang Tao and Chen Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Journal of Cardiology.

In The Last Decade

Jiemin Pan

34 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiemin Pan China 16 255 146 133 99 83 34 574
Emily D. Szmuilowicz United States 10 297 1.2× 137 0.9× 222 1.7× 44 0.4× 58 0.7× 23 661
Tracy L. Setji United States 14 345 1.4× 188 1.3× 95 0.7× 176 1.8× 67 0.8× 27 867
Isabelle Rünkle Spain 16 248 1.0× 306 2.1× 464 3.5× 84 0.8× 88 1.1× 47 999
Carlos E. Leiva Sisnieguez Argentina 12 261 1.0× 118 0.8× 105 0.8× 119 1.2× 29 0.3× 29 554
Gholamreza Yousefzadeh Iran 11 129 0.5× 68 0.5× 78 0.6× 68 0.7× 47 0.6× 24 356
Rafaella Cristhine Pordeus Luna Brazil 12 110 0.4× 156 1.1× 248 1.9× 35 0.4× 90 1.1× 29 573
Raoul Desbrière France 15 150 0.6× 109 0.7× 331 2.5× 89 0.9× 65 0.8× 39 870
Eduardo Balbín Argentina 10 245 1.0× 112 0.8× 106 0.8× 112 1.1× 22 0.3× 19 509
Shamil D. Cooray Australia 12 106 0.4× 119 0.8× 238 1.8× 41 0.4× 43 0.5× 25 776
Umesh Dashora United Kingdom 11 344 1.3× 153 1.0× 33 0.2× 56 0.6× 77 0.9× 52 547

Countries citing papers authored by Jiemin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jiemin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiemin Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Jiemin Pan. A scholar is included among the top collaborators of Jiemin Pan 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 Jiemin Pan. Jiemin Pan 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.
Xu, Yuejie, Ying Chen, Ningning Bai, et al.. (2025). Deubiquitinating enzyme USP2 regulates brown adipose tissue thermogenesis via controlling EBF2 stabilization. Molecular Metabolism. 96. 102139–102139. 1 indexed citations
2.
Tu, Yinfang, Junfeng Han, Jiemin Pan, et al.. (2020). A total weight loss of 25% shows better predictivity in evaluating the efficiency of bariatric surgery. International Journal of Obesity. 45(2). 396–403. 20 indexed citations
3.
Tu, Yinfang, Jiemin Pan, Junfeng Han, et al.. (2020). Comparison of Four Risk Prediction Models for Diabetes Remission after Roux-en-Y Gastric Bypass Surgery in Obese Chinese Patients with Type 2 Diabetes Mellitus. Obesity Surgery. 30(6). 2147–2157. 18 indexed citations
4.
He, Xingxing, Yun Shen, Haoyong Yu, et al.. (2019). Effectiveness of Smartphone App–Based Interactive Management on Glycemic Control in Chinese Patients With Poorly Controlled Diabetes: Randomized Controlled Trial. Journal of Medical Internet Research. 21(12). e15401–e15401. 45 indexed citations
6.
Liu, Yingfeng, Wolin Hou, Weijing Zhao, et al.. (2018). Early elevated alkaline phosphatase increases the risk of large-for-gestational-age birth weight in pregnant women with normal glucose tolerance. Diabetes Research and Clinical Practice. 141. 209–216. 5 indexed citations
7.
Liu, Yingfeng, Wolin Hou, Weijing Zhao, et al.. (2018). Heterogeneity of insulin resistance and beta cell dysfunction in gestational diabetes mellitus: a prospective cohort study of perinatal outcomes. Journal of Translational Medicine. 16(1). 289–289. 47 indexed citations
8.
Pan, Jiemin & Weiping Jia. (2018). Early-onset diabetes: an epidemic in China. Frontiers of Medicine. 12(6). 624–633. 33 indexed citations
9.
Hou, Wolin, Aihua Zhao, Weijing Zhao, et al.. (2017). Development of Multimarker Diagnostic Models from Metabolomics Analysis for Gestational Diabetes Mellitus (GDM). Molecular & Cellular Proteomics. 17(3). 431–441. 53 indexed citations
10.
Zhao, Weijing, Jiemin Pan, Huaping Li, et al.. (2016). Relationship between High Serum Cystatin C Levels and the Risk of Gestational Diabetes Mellitus. PLoS ONE. 11(2). e0147277–e0147277. 11 indexed citations
11.
Zhao, Weijing, Hui Zeng, Xiaoyan Zhang, et al.. (2016). A high thyroid stimulating hormone level is associated with diabetic peripheral neuropathy in type 2 diabetes patients. Diabetes Research and Clinical Practice. 115. 122–129. 33 indexed citations
12.
Hou, Wolin, Weijing Zhao, Jiemin Pan, et al.. (2016). Elevated First-Trimester Total Bile Acid is Associated with the Risk of Subsequent Gestational Diabetes. Scientific Reports. 6(1). 34070–34070. 19 indexed citations
13.
Pan, Jiemin, Feng Zhang, Lei Zhang, et al.. (2013). Influence of insulin sensitivity and secretion on glycated albumin and hemoglobin A1c in pregnant women with gestational diabetes mellitus. International Journal of Gynecology & Obstetrics. 121(3). 252–256. 23 indexed citations
15.
Pan, Jiemin, Jian Zou, Yuqian Bao, et al.. (2012). Use of glycated albumin to distinguish occult diabetes mellitus from stress-induced hyperglycemia in Chinese orthopedic trauma patients. The Journal of Trauma: Injury, Infection, and Critical Care. 72(5). 1369–1374. 10 indexed citations
16.
Ma, Xiaojing, Jiemin Pan, Jian Zhou, et al.. (2010). Combined assessment of glycated albumin and fasting plasma glucose improves the detection of diabetes in Chinese subjects. Clinical and Experimental Pharmacology and Physiology. 37(10). 974–979. 40 indexed citations
17.
Jia, Weiping, Chen Wang, Shan Jiang, & Jiemin Pan. (2010). Characteristics of Obesity and Its Related Disorders in China. Biomedical and Environmental Sciences. 23(1). 4–11. 34 indexed citations
18.
Jiang, Shan, Yuqian Bao, Xuhong Hou, et al.. (2009). Serum C-Reactive Protein and Risk of Cardiovascular Events in Middle-Aged and Older Chinese Population. The American Journal of Cardiology. 103(12). 1727–1731. 21 indexed citations
19.
Wang, Chen, Xuhong Hou, Yuqian Bao, et al.. (2008). The metabolic syndrome increased risk of cardiovascular events in Chinese—A community based study. International Journal of Cardiology. 139(2). 159–165. 23 indexed citations
20.
Zhou, Jian, Weiping Jia, Yuqian Bao, et al.. (2007). [Study on prevalence and risk factors of fatty liver of patients with type 2 diabetes].. PubMed. 87(32). 2249–52. 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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