Jingwei Chi

2.0k total citations · 1 hit paper
52 papers, 1.4k citations indexed

About

Jingwei Chi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Jingwei Chi has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in Jingwei Chi's work include Lipid metabolism and disorders (7 papers), Pancreatic function and diabetes (5 papers) and Gout, Hyperuricemia, Uric Acid (5 papers). Jingwei Chi is often cited by papers focused on Lipid metabolism and disorders (7 papers), Pancreatic function and diabetes (5 papers) and Gout, Hyperuricemia, Uric Acid (5 papers). Jingwei Chi collaborates with scholars based in China, United States and Sweden. Jingwei Chi's co-authors include Yangang Wang, Wenshan Lv, Yue Zhou, Bingzi Dong, Ramesh Raliya, Liyan Shen, Qing Yang, Zhuohua Zhang, Qian Pan and Danling Wang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Jingwei Chi

49 papers receiving 1.4k citations

Hit Papers

Obesity and diabetes as high‐risk factors for severe coro... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingwei Chi China 18 399 375 262 170 161 52 1.4k
Furong Zhang China 21 529 1.3× 334 0.9× 126 0.5× 124 0.7× 122 0.8× 127 1.8k
Yingfeng Lu China 16 392 1.0× 369 1.0× 228 0.9× 105 0.6× 127 0.8× 42 1.2k
Gholam Hossein Alishiri Iran 16 266 0.7× 281 0.7× 139 0.5× 135 0.8× 100 0.6× 57 1.4k
Hamed Akbari Iran 18 185 0.5× 322 0.9× 185 0.7× 94 0.6× 129 0.8× 47 1.0k
Mingyue Li China 22 467 1.2× 1.0k 2.7× 444 1.7× 232 1.4× 266 1.7× 54 2.2k
Weijie Wang China 21 346 0.9× 164 0.4× 151 0.6× 87 0.5× 246 1.5× 83 1.7k
Yuling Zhang China 21 466 1.2× 166 0.4× 105 0.4× 108 0.6× 281 1.7× 107 1.9k
Sina Vakili Iran 16 343 0.9× 164 0.4× 97 0.4× 82 0.5× 98 0.6× 57 1.0k

Countries citing papers authored by Jingwei Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jingwei Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Jingwei Chi. A scholar is included among the top collaborators of Jingwei Chi 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 Jingwei Chi. Jingwei Chi 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.
Zeng, Jia, et al.. (2024). Association between Serum Phosphorus Levels and Diabetic Retinopathy: A Cross‐Sectional Study. International Journal of Endocrinology. 2024(1). 3830246–3830246.
2.
Huang, Yajing, et al.. (2023). The role of C-peptide in diabetes and its complications: an updated review. Frontiers in Endocrinology. 14. 1256093–1256093. 20 indexed citations
3.
Lv, Wenshan, Yunyang Wang, Yajing Huang, et al.. (2023). Sinensetin ameliorates high glucose‐induced diabetic nephropathy via enhancing autophagy in vitro and in vivo. Journal of Biochemical and Molecular Toxicology. 37(10). e23445–e23445. 5 indexed citations
4.
Chi, Jingwei, Lili Xu, Bingzi Dong, et al.. (2023). Tophi and carotid atherosclerosis in gout patients: Role of insulin resistance. Nutrition Metabolism and Cardiovascular Diseases. 34(5). 1134–1141. 2 indexed citations
5.
Sun, Xiaoxia, Hongyang Wang, Jingwei Chi, Kui Che, & Yangang Wang. (2023). Endoplasmic reticulum stress in the adipose tissue and monocyte chemoattractant protein‐1 are involved in tacrolimus‐induced diabetes mellitus. Pharmacology Research & Perspectives. 11(3). e01081–e01081. 1 indexed citations
6.
Zhao, Yanyun, Yue Zhou, Yajing Huang, et al.. (2022). Impaired glucose tolerance is associated with enhanced postprandial pancreatic polypeptide secretion. Journal of Diabetes. 14(5). 334–344. 6 indexed citations
7.
Wang, Yan, Shihua Zhao, Wei Peng, et al.. (2022). The Role of Slit-2 in Gestational Diabetes Mellitus and Its Effect on Pregnancy Outcome. Frontiers in Endocrinology. 13. 889505–889505. 8 indexed citations
8.
Ding, Li, Yue Zhou, Lili Yang, et al.. (2022). Establishment and validation of a clinical model for predicting diabetic ketosis in patients with type 2 diabetes mellitus. Frontiers in Endocrinology. 13. 967929–967929. 4 indexed citations
9.
Wang, Xiang, Jingwei Chi, Bingzi Dong, et al.. (2021). MiR‐223‐3p and miR‐22‐3p inhibit monosodium urate‐induced gouty inflammation by targeting NLRP3. International Journal of Rheumatic Diseases. 24(4). 599–607. 37 indexed citations
10.
Huang, Yajing, et al.. (2020). Mitochondrial DNA: A New Predictor of Diabetic Kidney Disease. International Journal of Endocrinology. 2020. 1–7. 18 indexed citations
11.
Zhou, Yue, Jingwei Chi, Wenshan Lv, & Yangang Wang. (2020). Obesity and diabetes as high‐risk factors for severe coronavirus disease 2019 (Covid‐19). Diabetes/Metabolism Research and Reviews. 37(2). 329 indexed citations breakdown →
12.
Lv, Wenshan, et al.. (2020). Resveratrol prevents diabetic nephropathy by reducing chronic inflammation and improving the blood glucose memory effect in non-obese diabetic mice. Naunyn-Schmiedeberg s Archives of Pharmacology. 393(10). 2009–2017. 40 indexed citations
14.
Yue, Xiaoyan, Xiaofang Sun, Kui Che, et al.. (2020). Lpl-C310R mutation is associated with impaired glucose tolerance and endoplasmic reticulum stress in skeletal muscle. Biochemical and Biophysical Research Communications. 529(2). 480–486. 2 indexed citations
15.
Wang, Yunyang, et al.. (2019). Elevated free fatty acid level is associated with insulin-resistant state in nondiabetic Chinese people. Diabetes Metabolic Syndrome and Obesity. Volume 12. 139–147. 27 indexed citations
16.
Chi, Jingwei, et al.. (2017). Intramuscular injection of human umbilical cord-derived mesenchymal stem cells improves cardiac function in dilated cardiomyopathy rats. Stem Cell Research & Therapy. 8(1). 18–18. 44 indexed citations
17.
Wang, Yunyang, Jingwei Chi, Kui Che, et al.. (2017). Fasting plasma glucose and serum uric acid levels in a general Chinese population with normal glucose tolerance: A U-shaped curve. PLoS ONE. 12(6). e0180111–e0180111. 17 indexed citations
18.
Chi, Jingwei, Jing Li, Wei Zhang, et al.. (2017). A novel indel variant in LDLR responsible for familial hypercholesterolemia in a Chinese family. PLoS ONE. 12(12). e0189316–e0189316. 9 indexed citations
19.
Tang, Chengyuan, Xiang Chen, Jingwei Chi, et al.. (2015). Pathogenic Cx31 is un/misfolded to cause skin abnormality via a Fos/JunB-mediated mechanism. Human Molecular Genetics. 24(21). 6054–6065. 8 indexed citations
20.
Partònò, F, S Oemijati, Jingwei Chi, & Cross Jh. (1978). Serum immunoglobulin levels in Indonesians with bancroftian filariasis.. PubMed. 81(12). 252–4.

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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