Juming Lu

1.0k total citations
45 papers, 366 citations indexed

About

Juming Lu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Juming Lu has authored 45 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Juming Lu's work include Diabetes Treatment and Management (11 papers), Diabetes Management and Research (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). Juming Lu is often cited by papers focused on Diabetes Treatment and Management (11 papers), Diabetes Management and Research (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). Juming Lu collaborates with scholars based in China, Philippines and United States. Juming Lu's co-authors include Changyu Pan, Xiaohui Guo, Xianling Wang, Yiming Mu, Guoqing Yang, Linong Ji, Xianghai Zhou, Rui Zhang, Yan Gao and Zhaohui Lü and has published in prestigious journals such as The Lancet Diabetes & Endocrinology, Diabetes Obesity and Metabolism and Frontiers in Endocrinology.

In The Last Decade

Juming Lu

42 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juming Lu China 11 211 83 74 70 46 45 366
Alan Sacerdote United States 10 190 0.9× 62 0.7× 55 0.7× 74 1.1× 75 1.6× 24 423
Luciana A. Costa Brazil 7 152 0.7× 94 1.1× 44 0.6× 77 1.1× 57 1.2× 8 388
De-hong Cai China 11 160 0.8× 71 0.9× 69 0.9× 83 1.2× 23 0.5× 29 354
Robert E. Tainsh United States 10 172 0.8× 64 0.8× 73 1.0× 66 0.9× 127 2.8× 14 468
Minxiang Lei China 9 128 0.6× 125 1.5× 59 0.8× 73 1.0× 53 1.2× 26 318
Esther G. Gerrits Netherlands 10 257 1.2× 97 1.2× 103 1.4× 55 0.8× 102 2.2× 14 693
S Jambart Lebanon 10 176 0.8× 133 1.6× 100 1.4× 95 1.4× 42 0.9× 23 444
Kenji Oki Japan 12 156 0.7× 65 0.8× 98 1.3× 45 0.6× 53 1.2× 18 347
Antonio Polini Italy 12 281 1.3× 43 0.5× 77 1.0× 76 1.1× 26 0.6× 19 532
Takenori Sakai Japan 12 192 0.9× 89 1.1× 89 1.2× 47 0.7× 28 0.6× 41 453

Countries citing papers authored by Juming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Juming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juming Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Juming Lu. A scholar is included among the top collaborators of Juming Lu 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 Juming Lu. Juming Lu 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.
Tang, Hong, Dandan Wang, Qi Tang, et al.. (2022). The Prevalence, Progress and Risk Factor Control of Chronic Kidney Disease in Chinese Adults With Type 2 Diabetes Mellitus in Primary Care. Frontiers in Endocrinology. 13. 859266–859266. 10 indexed citations
2.
Tang, Hong, et al.. (2022). The Association Between the Decline of eGFR and a Reduction of Hemoglobin A1c in Type 2 Diabetic Patients. Frontiers in Endocrinology. 12. 723720–723720. 6 indexed citations
3.
Chen, Linhui, Hong Tang, Qun Yuan, et al.. (2021). Clinical Inertia and 2-Year Glycaemic Trajectories in Patients with Non-Newly Diagnosed Type 2 Diabetes Mellitus in Primary Care: A Retrospective Cohort Study. Patient Preference and Adherence. Volume 15. 2497–2508. 8 indexed citations
4.
Zhang, Xiaoming, Yumei Wei, Ling Fan, et al.. (2020). A multicenter all-inclusive prospective study on the relationship between glycemic control markers and maternal and neonatal outcomes in pregnant women. The Journal of Maternal-Fetal & Neonatal Medicine. 34(19). 3154–3161. 8 indexed citations
5.
Hu, Jiaqi, et al.. (2020). HbA1c variability as an independent predictor of diabetes retinopathy in patients with type 2 diabetes. Journal of Endocrinological Investigation. 44(6). 1229–1236. 5 indexed citations
6.
7.
Li, Mingzi, Linong Ji, Xiaohui Guo, et al.. (2012). Management status of type 2 diabetes mellitus in tertiary hospitals in Beijing: gap between guideline and reality.. PubMed. 125(23). 4185–9. 11 indexed citations
8.
Liu, Ran, et al.. (2012). Influence of obstructive sleep apnea syndrome on blood glucose control and occurrence of chronic diabetic complications in type 2 diabetes patients. Jiefangjun yixue zazhi. 37(12). 1130–1134. 1 indexed citations
9.
Li, Xiaojin, Qinghua Guo, Xuan Wang, et al.. (2012). LRP16 gene protects mouse insulinoma MIN6 cells against fatty acid-induced apoptosis through Akt/FoxO1 signaling.. PubMed. 125(10). 1695–702. 5 indexed citations
10.
Zhang, Ruya & Juming Lu. (2011). DPP-4 inhibitors in the treatment of type 2 diabetes. Zhonghua neifenmi daixie zazhi. 27(1). 2 indexed citations
11.
Liu, Fang, Yuqian Bao, Renming Hu, et al.. (2010). Screening and prevalence of peripheral neuropathy in type 2 diabetic outpatients: a randomized multicentre survey in 12 city hospitals of China. Diabetes/Metabolism Research and Reviews. 26(6). 481–489. 36 indexed citations
12.
Wang, Zengwu, Zuo Chen, Fang Wang, et al.. (2010). [Association between chronic kidney disease and cardiovascular events in middle-to-old-aged Chinese population].. PubMed. 31(8). 841–4.
13.
Pan, Changyu, et al.. (2009). Efficacy and safety of insulin glargine combined with glimepiride in type 2 diabetic patients with poor glycemic control. Zhonghua neifenmi daixie zazhi. 25(6). 617–621. 1 indexed citations
14.
Lu, Yanhui, Juming Lu, Shuyu Wang, et al.. (2008). [Two-year follow-up for patients with pre-diabetes that reverted to normal glucose in the first year].. PubMed. 88(20). 1394–7. 1 indexed citations
15.
Lu, Yanhui, Juming Lu, Shuyu Wang, et al.. (2006). [Comparison of the diagnostic criteria of metabolic syndrome by International Diabetes Federation and that by Chinese Medical Association Diabetes Branch].. PubMed. 86(6). 386–9. 44 indexed citations
16.
Cheng, Ying, Changyu Pan, Hui Tian, & Juming Lu. (2006). [A pilot evaluation of the diagnostic value of body mass index in elderly men with metabolic syndrome].. PubMed. 45(2). 100–3.
17.
Yang, Guoqing, et al.. (2006). [The relationship between metabolic control and the plasma total homocysteine in type 2 diabetes treated with insulin].. PubMed. 45(1). 34–7. 2 indexed citations
18.
Lu, Juming, et al.. (2005). Glycaemia is an independent marker for atherosclerosis. 1 indexed citations
19.
Pan, Changyu, Yan Gao, Jiawei Chen, et al.. (2003). Efficacy of acarbose in Chinese subjects with impaired glucose tolerance. Diabetes Research and Clinical Practice. 61(3). 183–190. 43 indexed citations
20.
Yang, Guoqing, et al.. (1986). Study on the relationship between N~( 5,10)-methylenetetrahydrofolate reductase gene polymorphism and the susceptibility to microangiopathy in type 2 diabetes mellitus. Zhonghua neifenmi daixie zazhi. 2 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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