Wenxia Han

646 total citations
10 papers, 529 citations indexed

About

Wenxia Han is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Wenxia Han has authored 10 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Surgery. Recurrent topics in Wenxia Han's work include Diabetes Treatment and Management (3 papers), Chronic Kidney Disease and Diabetes (3 papers) and Ion Transport and Channel Regulation (2 papers). Wenxia Han is often cited by papers focused on Diabetes Treatment and Management (3 papers), Chronic Kidney Disease and Diabetes (3 papers) and Ion Transport and Channel Regulation (2 papers). Wenxia Han collaborates with scholars based in China, Sweden and Germany. Wenxia Han's co-authors include Jiajun Zhao, Ling Gao, Qingbo Guan, Yue Zhao, Min Xu, Zengfen Pang, Junjie Zhu, Xiuyun Jiang, Qiongzhu Dong and Lei Zhao and has published in prestigious journals such as Endocrinology, Frontiers in Microbiology and Clinical Endocrinology.

In The Last Decade

Wenxia Han

10 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenxia Han China 5 355 340 92 54 51 10 529
Lei Kong China 4 303 0.9× 342 1.0× 59 0.6× 51 0.9× 36 0.7× 6 468
Qingxin Yuan China 10 278 0.8× 248 0.7× 128 1.4× 32 0.6× 81 1.6× 21 470
Mary E. Travers United Kingdom 3 239 0.7× 195 0.6× 78 0.8× 70 1.3× 32 0.6× 3 380
Neus Pueyo Spain 9 349 1.0× 320 0.9× 41 0.4× 130 2.4× 32 0.6× 9 628
Jones K. Ofori Sweden 12 339 1.0× 176 0.5× 248 2.7× 69 1.3× 95 1.9× 20 538
Xiaorong Zhan China 11 255 0.7× 150 0.4× 47 0.5× 45 0.8× 32 0.6× 13 345
Tomonori Tsuyama Japan 10 399 1.1× 96 0.3× 108 1.2× 73 1.4× 29 0.6× 14 569
Candi Trac United States 8 353 1.0× 227 0.7× 34 0.4× 50 0.9× 11 0.2× 10 471
Philip Fitchev United States 13 203 0.6× 70 0.2× 65 0.7× 62 1.1× 20 0.4× 20 430
Yahui Shen China 15 355 1.0× 248 0.7× 62 0.7× 44 0.8× 8 0.2× 30 516

Countries citing papers authored by Wenxia Han

Since Specialization
Citations

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

Fields of papers citing papers by Wenxia Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenxia Han

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

All Works

10 of 10 papers shown
1.
Du, Jing, Dong Hang, Yiping Cheng, et al.. (2023). Obesity Metabolic Phenotypes and Unplanned Readmission Risk in Diabetic Kidney Disease: An Observational Study from the Nationwide Readmission Database. Archives of Medical Research. 54(6). 102840–102840. 1 indexed citations
2.
Zhang, Xiujuan, et al.. (2019). <p>Branched Chain Amino Acids Protects Rat Mesangial Cells from High Glucose by Modulating TGF-β1 and BMP-7</p>. Diabetes Metabolic Syndrome and Obesity. Volume 12. 2433–2440. 6 indexed citations
3.
Zhang, Xiujuan, et al.. (2019). The Association of Autoantibodies in Hyperthyroid Heart Disease Combined with Pulmonary Hypertension. International Journal of Endocrinology. 2019. 1–8. 3 indexed citations
4.
Shi, Ranran, Congcong Li, Jin Xu, et al.. (2017). [Clinical and genetic characteristics of Gitelman syndrome in 5 pedigrees].. PubMed. 56(2). 104–111. 3 indexed citations
5.
Sobetzko, Patrick, Lukas Jelonek, Marc Strickert, et al.. (2016). DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes. Frontiers in Microbiology. 7. 283–283. 13 indexed citations
6.
Zhou, Xinli, Wenxia Han, Xiuyun Jiang, et al.. (2015). Identification of two novel mutations in SLC12A3 gene in two Chinese pedigrees with Gitelman syndrome and review of literature. Clinical Endocrinology. 83(6). 985–993. 16 indexed citations
7.
Zhang, Xiujuan, Wenxia Han, Xiuyun Jiang, et al.. (2014). Chronic leucine exposure results in reduced but reversible glucose-stimulated insulin secretion in INS-1 cells. Molecular Medicine Reports. 9(6). 2554–2558. 4 indexed citations
8.
Liu, Dandan, Wenxia Han, Yuwen Song, et al.. (2013). [Effect of Chinese herbal compounds for blood activating stasis removing, qi benefiting Shen invigorating on high glucose stimulated proliferation of renal mesangial cells and expressions of fibronectin].. PubMed. 33(10). 1400–3. 1 indexed citations
9.
Kong, Lei, Junjie Zhu, Wenxia Han, et al.. (2010). Significance of serum microRNAs in pre-diabetes and newly diagnosed type 2 diabetes: a clinical study. Acta Diabetologica. 48(1). 61–69. 439 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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