Yanxia Zhan

1.1k total citations
54 papers, 743 citations indexed

About

Yanxia Zhan is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Yanxia Zhan has authored 54 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Hematology, 19 papers in Immunology and 13 papers in Molecular Biology. Recurrent topics in Yanxia Zhan's work include Platelet Disorders and Treatments (29 papers), Blood groups and transfusion (9 papers) and Immune Cell Function and Interaction (7 papers). Yanxia Zhan is often cited by papers focused on Platelet Disorders and Treatments (29 papers), Blood groups and transfusion (9 papers) and Immune Cell Function and Interaction (7 papers). Yanxia Zhan collaborates with scholars based in China, United States and Australia. Yanxia Zhan's co-authors include Yunfeng Cheng, Lili Ji, Fanli Hua, Zhihui Min, Hao Chen, Feng Li, Shanhua Zou, Boting Wu, Dongli Song and Ke Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Yanxia Zhan

49 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanxia Zhan China 17 300 230 199 152 143 54 743
Ann Lin United States 10 157 0.5× 306 1.3× 212 1.1× 90 0.6× 63 0.4× 15 662
Sherry C. Huang United States 13 134 0.4× 233 1.0× 231 1.2× 50 0.3× 162 1.1× 22 677
Tímea Besenyei Hungary 10 88 0.3× 225 1.0× 235 1.2× 78 0.5× 40 0.3× 12 753
Michael Bromberg United States 17 438 1.5× 275 1.2× 85 0.4× 159 1.0× 33 0.2× 27 930
Sunita Badola United States 9 152 0.5× 207 0.9× 135 0.7× 103 0.7× 65 0.5× 16 729
Bojing Shao United States 14 230 0.8× 271 1.2× 406 2.0× 77 0.5× 42 0.3× 29 945
Yukiko Komeno Japan 20 445 1.5× 549 2.4× 189 0.9× 87 0.6× 40 0.3× 44 984
Ugo Consoli Italy 17 257 0.9× 367 1.6× 239 1.2× 51 0.3× 102 0.7× 36 863
Xinsheng Xie China 15 183 0.6× 370 1.6× 167 0.8× 151 1.0× 41 0.3× 72 726
NE Hansen Denmark 11 259 0.9× 108 0.5× 249 1.3× 125 0.8× 176 1.2× 16 715

Countries citing papers authored by Yanxia Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Yanxia Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanxia Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Yanxia Zhan. A scholar is included among the top collaborators of Yanxia Zhan 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 Yanxia Zhan. Yanxia Zhan 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.
Jiang, Huai, Yanxia Zhan, Shujie Zhang, et al.. (2025). Immunological heterogeneity in Ménière's disease: CD4+ T cell subset profiling reveals three distinct Immunophenotypes. Journal of Neuroimmunology. 409. 578743–578743.
2.
Liu, Miao, et al.. (2024). Follicular fluid and plasma lipidome profiling and associations towards embryonic development outcomes during ART treatment. Frontiers in Endocrinology. 15. 1464171–1464171. 1 indexed citations
3.
Xu, Pengcheng, Ying Li, Xibing Zhuang, et al.. (2024). Changes in immune subsets during chemotherapy as prognosis biomarkers for multiple myeloma patients by longitudinal monitoring. Immunologic Research. 72(5). 1185–1197.
4.
Yan, Furong, Dongli Song, Yiming Zeng, et al.. (2024). Integration of clinical phenoms and metabolomics facilitates precision medicine for lung cancer. Cell Biology and Toxicology. 40(1). 25–25. 6 indexed citations
5.
Qian, Mengjia, Chang Li, Miaomiao Zhang, et al.. (2023). Blood metagenomics next-generation sequencing has advantages in detecting difficult-to-cultivate pathogens, and mixed infections: results from a real-world cohort. Frontiers in Cellular and Infection Microbiology. 13. 1268281–1268281. 5 indexed citations
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Cao, Jingjing, Lili Ji, Yanxia Zhan, et al.. (2023). MST4 kinase regulates immune thrombocytopenia by phosphorylating STAT1-mediated M1 polarization of macrophages. Cellular and Molecular Immunology. 20(12). 1413–1427. 26 indexed citations
9.
Ma, Li, Fanli Hua, Zhihui Min, et al.. (2022). Exosomal circCARM1 from spheroids reprograms cell metabolism by regulating PFKFB2 in breast cancer. Oncogene. 41(14). 2012–2025. 32 indexed citations
10.
Liu, Yonglei, et al.. (2021). Carcinoma associated fibroblasts small extracellular vesicles with low miR-7641 promotes breast cancer stemness and glycolysis by HIF-1α. Cell Death Discovery. 7(1). 176–176. 29 indexed citations
11.
Wu, Boting, Pu Chen, Fanli Hua, et al.. (2020). Circulating CX3CR1+CD163+ M2 monocytes markedly elevated and correlated with cardiac markers in patients with acute myocardial infarction. Annals of Translational Medicine. 8(9). 578–578. 5 indexed citations
12.
Cheng, Luya, Lili Ji, Feng Li, et al.. (2020). Intestinal microbiota dysbiosis play a role in pathogenesis of patients with primary immune thrombocytopenia. Thrombosis Research. 190. 11–19. 39 indexed citations
13.
Cheng, Luya, Feng Li, Lili Ji, et al.. (2019). The abnormal function of CD39+ regulatory T cells could be corrected by high-dose dexamethasone in patients with primary immune thrombocytopenia. Annals of Hematology. 98(8). 1845–1854. 15 indexed citations
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Chen, Hao, Feng Li, Yanxia Zhan, et al.. (2016). Circulating cytokine portraits can differentiate between allograft rejection and pulmonary infection in cardiac transplant rats. Interactive Cardiovascular and Thoracic Surgery. 23(1). 118–124. 1 indexed citations
16.
Wu, Boting, Wei‐Guang Wang, Yanxia Zhan, et al.. (2015). CXCL13, CCL4, and sTNFR as circulating inflammatory cytokine markers in primary and SLE-related autoimmune hemolytic anemia. Journal of Translational Medicine. 13(1). 112–112. 20 indexed citations
17.
Li, Feng, Lili Ji, Wei‐Guang Wang, et al.. (2014). Insufficient secretion of IL-10 by Tregs compromised its control on over-activated CD4+ T effector cells in newly diagnosed adult immune thrombocytopenia patients. Immunologic Research. 61(3). 269–280. 32 indexed citations
18.
Zhan, Yanxia, Fanli Hua, Lili Ji, et al.. (2013). Polymorphisms of the IL-23R gene are associated with primary immune thrombocytopenia but not with the clinical outcome of pulsed high-dose dexamethasone therapy. Annals of Hematology. 92(8). 1057–1062. 9 indexed citations
19.
Hua, Fanli, Lili Ji, Yanxia Zhan, et al.. (2012). Pulsed High-dose Dexamethasone Improves Interleukin 10 Secretion by CD5+ B Cells in Patients with Primary Immune Thrombocytopenia. Journal of Clinical Immunology. 32(6). 1233–1242. 17 indexed citations
20.
Ji, Lili, Yanxia Zhan, Fanli Hua, et al.. (2012). The Ratio of Treg/Th17 Cells Correlates with the Disease Activity of Primary Immune Thrombocytopenia. PLoS ONE. 7(12). e50909–e50909. 97 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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