Shenqi Jing

412 total citations
15 papers, 239 citations indexed

About

Shenqi Jing is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shenqi Jing has authored 15 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shenqi Jing's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Chronic Disease Management Strategies (2 papers). Shenqi Jing is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Chronic Disease Management Strategies (2 papers). Shenqi Jing collaborates with scholars based in China, United States and Netherlands. Shenqi Jing's co-authors include Tao Shan, Shumei Miao, Yun Liu, Shan Lü, Zhongmin Wang, Xin Zhang, Jianjun Guo, Xiaohong Wu, Xin Zhang and Cheng Wan and has published in prestigious journals such as International Journal of Cancer, BMC Public Health and BioMed Research International.

In The Last Decade

Shenqi Jing

14 papers receiving 231 citations

Peers

Shenqi Jing
Shenqi Jing
Citations per year, relative to Shenqi Jing Shenqi Jing (= 1×) peers Tianqi Zhang

Countries citing papers authored by Shenqi Jing

Since Specialization
Citations

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

Fields of papers citing papers by Shenqi Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenqi Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Shenqi Jing. A scholar is included among the top collaborators of Shenqi Jing 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 Shenqi Jing. Shenqi Jing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
3.
Hu, Guanjie, Zhiqiang Wu, Zifeng Zhang, et al.. (2023). Structural alterations of the salience network in patients with insular glioma. Brain and Behavior. 13(5). e2969–e2969. 6 indexed citations
4.
Xie, Jing, Zeye Liu, Liqun Ren, et al.. (2023). Global, regional, and national time trends in cancer mortality attributable to high fasting plasma glucose: an age-period cohort analysis. BMC Public Health. 23(1). 1361–1361. 10 indexed citations
5.
Shao, Hua, Tao Shan, Shenqi Jing, et al.. (2022). Validation of type 2 diabetes subgroups by simple clinical parameters: a retrospective cohort study of NHANES data from 1999 to 2014. BMJ Open. 12(3). e055647–e055647. 3 indexed citations
6.
Xie, Jing, Zhenwei Wang, Junjie Wang, et al.. (2022). Intakes of omega-3 fatty acids and risks of all-cause and cause-specific mortality in people with diabetes: a cohort study based on NHANES 1999–2014. Acta Diabetologica. 60(3). 353–362. 10 indexed citations
7.
8.
Lü, Shan, Anzhi Wang, Shumei Miao, et al.. (2020). Association between type 2 diabetes and cancer incidence in China: data in hospitalized patients from 2006 to 2013. Annals of Translational Medicine. 8(5). 176–176. 7 indexed citations
9.
Miao, Shumei, Dai Cui, Shan Lu, et al.. (2020). The analysis of differential diagnosis of benign and malignant thyroid nodules based on ultrasound reports. Gland Surgery. 9(3). 653–660. 15 indexed citations
10.
Tian, Ting, Ci Song, Longfeng Jiang, et al.. (2020). Hepatitis B virus infection and the risk of cancer among the Chinese population. International Journal of Cancer. 147(11). 3075–3084. 44 indexed citations
11.
Zhang, Xin, Kai Gu, Shumei Miao, et al.. (2020). Automated detection of cardiovascular disease by electrocardiogram signal analysis: a deep learning system. Cardiovascular Diagnosis and Therapy. 10(2). 227–235. 43 indexed citations
12.
Lü, Shan, Shumei Miao, Xin Zhang, et al.. (2019). Prevalence of hypertension, diabetes, and dyslipidemia, and their additive effects on myocardial infarction and stroke: a cross-sectional study in Nanjing, China. Annals of Translational Medicine. 7(18). 436–436. 42 indexed citations
13.
Zhang, Xin, Li Wang, Shumei Miao, et al.. (2018). Analysis of treatment pathways for three chronic diseases using OMOP CDM. Journal of Medical Systems. 42(12). 260–260. 22 indexed citations
14.
Miao, Shumei, Xiao Dong, Xin Zhang, et al.. (2018). Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes. Journal of Diabetes. 11(8). 684–689. 7 indexed citations
15.
Zhang, Xin, Xiaoping Zhou, Shumei Miao, et al.. (2014). The Analysis of the Disease Spectrum in China. BioMed Research International. 2014. 1–8. 9 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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