Shufei Zang

1.5k total citations
46 papers, 1.1k citations indexed

About

Shufei Zang is a scholar working on Epidemiology, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Shufei Zang has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 12 papers in Obstetrics and Gynecology and 7 papers in Surgery. Recurrent topics in Shufei Zang's work include Liver Disease Diagnosis and Treatment (20 papers), Gestational Diabetes Research and Management (11 papers) and Pregnancy and preeclampsia studies (9 papers). Shufei Zang is often cited by papers focused on Liver Disease Diagnosis and Treatment (20 papers), Gestational Diabetes Research and Management (11 papers) and Pregnancy and preeclampsia studies (9 papers). Shufei Zang collaborates with scholars based in China, Hong Kong and Czechia. Shufei Zang's co-authors include Junping Shi, Dewei Ye, Xinmei Huang, Tiange Sun, Yu Wang, Yan Luo, Jun Liu, Xiaoya Li, Hai‐Xin Yuan and Yue Xiong and has published in prestigious journals such as Hepatology, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Shufei Zang

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shufei Zang China 18 529 331 177 163 161 46 1.1k
Janusz Piekarski Poland 18 260 0.5× 274 0.8× 129 0.7× 117 0.7× 45 0.3× 83 1.1k
Qiliu Peng China 22 252 0.5× 492 1.5× 260 1.5× 98 0.6× 208 1.3× 80 1.5k
Xiaodong Ge United States 17 631 1.2× 425 1.3× 150 0.8× 432 2.7× 159 1.0× 40 1.5k
Luigi Rossi Italy 20 154 0.3× 400 1.2× 219 1.2× 99 0.6× 87 0.5× 58 1.5k
Qing Pang China 22 407 0.8× 314 0.9× 292 1.6× 365 2.2× 56 0.3× 67 1.3k
Petru Adrian Mircea Romania 19 232 0.4× 216 0.7× 79 0.4× 156 1.0× 169 1.0× 54 1.0k
Terumi Takahara Japan 22 409 0.8× 395 1.2× 131 0.7× 402 2.5× 170 1.1× 65 1.4k
Zhangzhe Peng China 22 145 0.3× 487 1.5× 60 0.3× 68 0.4× 145 0.9× 79 1.3k
Haibo Zhang China 13 644 1.2× 350 1.1× 204 1.2× 240 1.5× 269 1.7× 30 1.4k
Fernando Magdaleno Spain 14 363 0.7× 161 0.5× 54 0.3× 256 1.6× 67 0.4× 30 763

Countries citing papers authored by Shufei Zang

Since Specialization
Citations

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

Fields of papers citing papers by Shufei Zang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shufei Zang

This figure shows the co-authorship network connecting the top 25 collaborators of Shufei Zang. A scholar is included among the top collaborators of Shufei Zang 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 Shufei Zang. Shufei Zang 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.
2.
Liu, Dan, Shujie Yu, Ying Zhang, et al.. (2025). Fibroblast growth factor 23 predicts incident diabetic kidney disease: A 4.6‐year prospective study. Diabetes Obesity and Metabolism. 27(4). 2232–2241. 3 indexed citations
3.
Zhang, Rui, et al.. (2025). A nomogram to predict gestational diabetes mellitus: a multicenter retrospective study. Journal of Molecular Cell Biology. 17(3).
4.
Wang, Fang, Yi Shen, Tiange Sun, et al.. (2024). First-trimester hemoglobin, haptoglobin genotype, and risk of gestational diabetes mellitus in a retrospective study among Chinese pregnant women. Nutrition and Diabetes. 14(1). 48–48. 3 indexed citations
5.
Zhang, Rui, et al.. (2024). Uric acid and risk of gestational diabetes mellitus: an observational study and mendelian randomization analysis. Reproductive Biology and Endocrinology. 22(1). 108–108. 1 indexed citations
6.
7.
Li, Yue, Dewei Ye, Xiangtian Yu, et al.. (2023). Longitudinal metabolomics integrated with machine learning identifies novel biomarkers of gestational diabetes mellitus. Free Radical Biology and Medicine. 209(Pt 1). 9–17. 10 indexed citations
8.
Li, Xiaoya, et al.. (2023). Perilipin5 protects against non-alcoholic steatohepatitis by increasing 11-Dodecenoic acid and inhibiting the occurrence of ferroptosis. Nutrition & Metabolism. 20(1). 29–29. 3 indexed citations
9.
Li, Xiaoya, Yifan Sun, Xinmei Huang, et al.. (2022). Integration analysis identifies the role of metallothionein in the progression from hepatic steatosis to steatohepatitis. Frontiers in Endocrinology. 13. 951093–951093. 8 indexed citations
10.
Ye, Dewei, Yong Yang, Kaixuan Yan, et al.. (2022). Neutrophil Extracellular Traps Mediate Acute Liver Failure in Regulation of miR-223/Neutrophil Elastase Signaling in Mice. Cellular and Molecular Gastroenterology and Hepatology. 14(3). 587–607. 24 indexed citations
11.
Ye, Dewei, Jiating Huang, Xiang Gao, et al.. (2022). Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans. Gut Microbes. 15(1). 2154552–2154552. 51 indexed citations
12.
Wang, Lihong, Jie Pan, Yifan Sun, et al.. (2022). Increased Neutrophil elastase and proteinase 3 are closely associated with occurrence and severity of stroke and acute myocardial infarction in patients with type 2 diabetes mellitus. Diabetes Research and Clinical Practice. 186. 109853–109853. 4 indexed citations
13.
Wang, Zhenqian, Wenyu Huang, Vivian Yawei Guo, et al.. (2022). Linear and non-linear Mendelian randomization analyses of sex-specific associations between sleep duration and hyperuricemia. Frontiers in Nutrition. 9. 920791–920791. 2 indexed citations
14.
Huang, Xinmei, Yueyue Wu, Sheng Li, et al.. (2021). Alterations in CD8+ Tregs, CD56+ Natural Killer Cells and IL-10 Are Associated With Invasiveness of Nonfunctioning Pituitary Adenomas (NFPAs). Pathology & Oncology Research. 27. 598887–598887. 9 indexed citations
15.
Luo, Yan, et al.. (2019). Knockout of neutrophil elastase protects against western diet induced nonalcoholic steatohepatitis in mice by regulating hepatic ceramides metabolism. Biochemical and Biophysical Research Communications. 518(4). 691–697. 39 indexed citations
16.
17.
Zang, Shufei, et al.. (2015). Isocitrate Dehydrogenase 2 Suppresses the Invasion of Hepatocellular Carcinoma Cells via Matrix Metalloproteinase 9. Cellular Physiology and Biochemistry. 37(6). 2405–2414. 21 indexed citations
18.
Zang, Shufei, Xiaojie Ma, Zhenjie Zhuang, et al.. (2015). Increased ratio of neutrophil elastase to α1‐antitrypsin is closely associated with liver inflammation in patients with nonalcoholic steatohepatitis. Clinical and Experimental Pharmacology and Physiology. 43(1). 13–21. 33 indexed citations
19.
Zang, Shufei, Tao Liu, Junping Shi, & Liang Qiao. (2014). Curcumin: A Promising Agent Targeting Cancer Stem Cells. Anti-Cancer Agents in Medicinal Chemistry. 14(6). 787–792. 38 indexed citations
20.

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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