Huijuan Yuan

2.0k total citations
55 papers, 1.2k citations indexed

About

Huijuan Yuan is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Huijuan Yuan has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Physiology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Huijuan Yuan's work include Gut microbiota and health (14 papers), Diet and metabolism studies (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). Huijuan Yuan is often cited by papers focused on Gut microbiota and health (14 papers), Diet and metabolism studies (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). Huijuan Yuan collaborates with scholars based in China, United States and Norway. Huijuan Yuan's co-authors include Chenhong Zhang, Xinru Deng, Liping Zhao, Liying Zhang, Benhua Zeng, Min Li, Yingxin Hu, Fengwei Pan, Junpeng Yang and Xiaoyang Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Huijuan Yuan

54 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
Huijuan Yuan China 20 542 322 190 133 115 55 1.2k
Stefania Gorini Italy 20 423 0.8× 281 0.9× 143 0.8× 104 0.8× 104 0.9× 50 1.3k
Daniel Kraus Germany 17 423 0.8× 290 0.9× 153 0.8× 191 1.4× 265 2.3× 54 1.4k
Natalie R. van Zuydam United Kingdom 12 888 1.6× 474 1.5× 152 0.8× 153 1.2× 149 1.3× 15 1.4k
Łukasz Łaczmański Poland 19 454 0.8× 283 0.9× 128 0.7× 133 1.0× 124 1.1× 110 1.3k
Xiaoyan Wu China 18 481 0.9× 140 0.4× 127 0.7× 81 0.6× 111 1.0× 60 1.2k
Daniela Liccardo Italy 26 893 1.6× 286 0.9× 209 1.1× 166 1.2× 114 1.0× 41 1.9k
Xiaokun Gang China 22 626 1.2× 484 1.5× 275 1.4× 146 1.1× 222 1.9× 64 1.7k
Hongyu Wang China 20 477 0.9× 144 0.4× 85 0.4× 210 1.6× 173 1.5× 114 1.5k
Kaori Hayashi Japan 23 448 0.8× 158 0.5× 101 0.5× 280 2.1× 154 1.3× 148 1.4k
Maria Papaioannou Greece 22 462 0.9× 284 0.9× 175 0.9× 156 1.2× 70 0.6× 85 1.3k

Countries citing papers authored by Huijuan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Huijuan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huijuan Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Huijuan Yuan. A scholar is included among the top collaborators of Huijuan Yuan 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 Huijuan Yuan. Huijuan Yuan 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.
Zhang, Shihan, et al.. (2025). Protein-bound uremic toxins as therapeutic targets for cardiovascular, kidney, and metabolic disorders. Frontiers in Endocrinology. 16. 1500336–1500336.
2.
Yuan, Huijuan, Chao Wan, Jingjing Wang, et al.. (2025). Recent advances in centrifugal microfluidics for point-of-care testing. Lab on a Chip. 25(5). 1015–1046. 10 indexed citations
3.
Tao, Bei, Ximei Shen, Guangfei Li, et al.. (2025). New Evidence, Creative Insights, and Strategic Solutions: Advancing the Understanding and Practice of Diabetes Osteoporosis. Journal of Diabetes. 17(4). e70091–e70091. 2 indexed citations
4.
5.
Chen, Dongjuan, Yuanyuan Liu, Xudong Zhao, et al.. (2024). Freeze‐Thaw‐Induced Patterning of Extracellular Vesicles with Artificial Intelligence for Breast Cancers Identifications. Small. 21(4). e2408871–e2408871. 10 indexed citations
6.
Zhang, Yun, et al.. (2024). Genetic Evidence for the Causal Relationship Between Gut Microbiota and Diabetic Kidney Disease: A Bidirectional, Two‐Sample Mendelian Randomisation Study. Journal of Diabetes Research. 2024(1). 4545595–4545595. 4 indexed citations
7.
Li, Shunji, Jingxuan Liu, Xing Wang, et al.. (2024). Fully Integrated and High‐Throughput Microfluidic System for Multiplexed Point‐Of‐Care Testing. Small. 20(43). e2401848–e2401848. 18 indexed citations
8.
Wang, Limin, Xiaojian Song, Xiaoyan Jia, et al.. (2023). Canagliflozin alters the gut, oral, and ocular surface microbiota of patients with type 2 diabetes mellitus. Frontiers in Endocrinology. 14. 1256292–1256292. 11 indexed citations
9.
Yang, Xin, Zhiyi Wang, Junling Niu, et al.. (2023). Pathobionts from chemically disrupted gut microbiota induce insulin-dependent diabetes in mice. Microbiome. 11(1). 62–62. 24 indexed citations
10.
Yuan, Huijuan, et al.. (2023). Construction of a genome-wide SSR marker library in Gerbera hybrida: Insights into genetic variation and germplasm resources. Scientia Horticulturae. 324. 112543–112543. 1 indexed citations
11.
Fang, Yuanyuan, Chenhong Zhang, Wei Wei, et al.. (2021). Characteristics of the Gut Microbiota and Metabolism in Patients With Latent Autoimmune Diabetes in Adults: A Case-Control Study. Diabetes Care. 44(12). 2738–2746. 38 indexed citations
12.
Yang, Junpeng, Dongni Zhao, Yi Chen, et al.. (2021). Association of serum CTRP9 levels with cardiac autonomic neuropathy in patients with type 2 diabetes mellitus. Journal of Diabetes Investigation. 12(8). 1442–1451. 5 indexed citations
13.
Liu, Yalei, Shasha Tang, Lijun Zhang, et al.. (2021). Aberrant expression of inhibitory receptors on B cells in patients with Graves’ disease. Human Immunology. 83(2). 144–152. 4 indexed citations
14.
Yang, Xiaoyan, Yirong Chen, Wen Zhang, et al.. (2020). Association Between Inflammatory Biomarkers and Cognitive Dysfunction Analyzed by MRI in Diabetes Patients. SHILAP Revista de lepidopterología. 1 indexed citations
15.
16.
Wang, Limin, et al.. (2020). Clinical Associations of Thyroid Hormone Levels with the Risk of Atherosclerosis in Euthyroid Type 2 Diabetic Patients in Central China. International Journal of Endocrinology. 2020. 1–8. 9 indexed citations
17.
Liu, Zhenyu, Jiangang Liu, Huijuan Yuan, et al.. (2019). Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity. Genomics Proteomics & Bioinformatics. 17(4). 441–452. 14 indexed citations
18.
Yu, Lu‐Gang, et al.. (2018). The clinical application study of platelet to lymphocyte ratio in type 2 diabetes-induced renal impairment in elderly patients. Zhonghua laonian yixue zazhi. 37(8). 883–887. 1 indexed citations
19.
Zhang, Li, et al.. (2012). Perioperative nursing of diabetic foot treated with autologous stem cell transplantation. Central Plains Medical Journal. 39(16). 114–115. 1 indexed citations
20.
Yuan, Huijuan. (2009). Epidemiologic survey and correlation factors analysis of diabetes mellitus and metabolic syndrome in Henan province. 1 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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