Wan-Ming Da

687 total citations
56 papers, 534 citations indexed

About

Wan-Ming Da is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Wan-Ming Da has authored 56 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 15 papers in Molecular Biology and 13 papers in Immunology. Recurrent topics in Wan-Ming Da's work include Hematopoietic Stem Cell Transplantation (20 papers), Mesenchymal stem cell research (10 papers) and Acute Myeloid Leukemia Research (9 papers). Wan-Ming Da is often cited by papers focused on Hematopoietic Stem Cell Transplantation (20 papers), Mesenchymal stem cell research (10 papers) and Acute Myeloid Leukemia Research (9 papers). Wan-Ming Da collaborates with scholars based in China, Philippines and United Kingdom. Wan-Ming Da's co-authors include Jiuhong Kang, Yongbin Cao, Dandan Zhao, Zhouyang Liu, Lixin Xu, Dawei Zhang, Xiaoxiong Wu, Zhongchao Han, Chunji Gao and Jie Chen and has published in prestigious journals such as Blood, PLoS ONE and Oncotarget.

In The Last Decade

Wan-Ming Da

51 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wan-Ming Da China 13 241 205 152 121 92 56 534
Federica Savi Italy 14 185 0.8× 250 1.2× 284 1.9× 75 0.6× 115 1.3× 20 746
Kazuki Koizumi Japan 12 227 0.9× 157 0.8× 224 1.5× 136 1.1× 160 1.7× 29 671
Stephan Meinke Sweden 12 146 0.6× 139 0.7× 110 0.7× 144 1.2× 199 2.2× 29 567
Mohamed Mabed Egypt 12 105 0.4× 66 0.3× 127 0.8× 93 0.8× 111 1.2× 41 401
Irene Gañán‐Gómez United States 11 262 1.1× 75 0.4× 351 2.3× 48 0.4× 165 1.8× 44 626
Yixiang Han China 17 250 1.0× 101 0.5× 371 2.4× 226 1.9× 350 3.8× 32 923
Jie Bai China 15 252 1.0× 161 0.8× 336 2.2× 50 0.4× 111 1.2× 76 635
Sarah Jenkinson United Kingdom 10 294 1.2× 46 0.2× 270 1.8× 82 0.7× 48 0.5× 15 653

Countries citing papers authored by Wan-Ming Da

Since Specialization
Citations

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

Fields of papers citing papers by Wan-Ming Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan-Ming Da. 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 Wan-Ming Da. The network helps show where Wan-Ming Da may publish in the future.

Co-authorship network of co-authors of Wan-Ming Da

This figure shows the co-authorship network connecting the top 25 collaborators of Wan-Ming Da. A scholar is included among the top collaborators of Wan-Ming Da 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 Wan-Ming Da. Wan-Ming Da 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.
Xu, Lixin, Zhouyang Liu, Yamei Wu, et al.. (2018). Clinical evaluation of haploidentical hematopoietic combined with human umbilical cord-derived mesenchymal stem cells in severe aplastic anemia. European journal of medical research. 23(1). 12–12. 20 indexed citations
2.
Wang, Lu, Bei Yan, Yong Yu, et al.. (2017). [Effect of Rigorous Staging at the First Diagnosis on Prognosis of Patients with Follicular Lymphoma].. PubMed. 25(1). 126–132.
3.
Yang, Zhirui, Haiyan Zhu, Wan-Ming Da, et al.. (2015). [Change and clinical significance of peripheral blood T-lymphocyte functional subsets in acute graft-versus-host disease].. PubMed. 23(1). 190–4. 1 indexed citations
4.
Li, Xiaohong, Chunji Gao, Wan-Ming Da, et al.. (2014). Reduced Intensity Conditioning, Combined Transplantation of Haploidentical Hematopoietic Stem Cells and Mesenchymal Stem Cells in Patients with Severe Aplastic Anemia. PLoS ONE. 9(3). e89666–e89666. 41 indexed citations
5.
Xia, Bing, Chen Tian, Shanqi Guo, et al.. (2014). c-Myc plays part in drug resistance mediated by bone marrow stromal cells in acute myeloid leukemia. Leukemia Research. 39(1). 92–99. 67 indexed citations
6.
Guo, Bo, Xiaoping Han, Zhanhe Wu, Wan-Ming Da, & Hongli Zhu. (2014). Spectral karyotyping: an unique technique for the detection of complex genomic rearrangements in leukemia.. PubMed. 3(2). 135–9. 9 indexed citations
7.
Wang, Zhihong, Yongbin Cao, Lixin Xu, et al.. (2013). Cotransplantation of haploidentical hematopoietic and umbilical cord mesenchymal stem cells with a myeloablative regimen for refractory/relapsed hematologic malignancy. Annals of Hematology. 92(12). 1675–1684. 56 indexed citations
8.
Zhang, Yizhuo, Qing Guo, Haifeng Zhao, et al.. (2012). Expression of CXCR4 is an independent prognostic factor for overall survival and progression-free survival in patients with myelodysplastic syndrome. Medical Oncology. 30(1). 341–341. 8 indexed citations
9.
Zhang, Yizhuo, Dandan Zhao, Haifeng Zhao, et al.. (2012). Hypermethylation of SHP-1 promoter in patient with high-risk myelodysplastic syndrome and it predicts poor prognosis. Medical Oncology. 29(4). 2359–2363. 12 indexed citations
10.
Zhang, Yizhuo, Haifeng Zhao, Dandan Zhao, et al.. (2011). SDF-1/CXCR4 axis in myelodysplastic syndromes: Correlation with angiogenesis and apoptosis. Leukemia Research. 36(3). 281–286. 18 indexed citations
11.
Yin, Yuming, Tong Wu, Wan-Ming Da, et al.. (2011). [Cytomegalovirus enteritis after allogeneic hematopoietic stem cell transplantation].. PubMed. 32(8). 516–20. 1 indexed citations
12.
Li, Meng, Chunji Gao, Honghua Li, et al.. (2010). Allogeneic haematopoietic stem cell transplantation as a salvage strategy for relapsed or refractory nasal NK/T-cell lymphoma. Medical Oncology. 28(3). 840–845. 9 indexed citations
13.
Fei, Wang, et al.. (2009). The effect of rhG-CSF on the conformation of LFA-1 on CD4+T cells in hemopoietic stem cell transplantation. Immunopharmacology and Immunotoxicology. 31(2). 267–273. 2 indexed citations
14.
Zhu, Haiyan, Dandan Zhao, Xiaoping Han, et al.. (2008). Identification of a new HLA-Cw*07 allele, HLA-Cw*0743, from a Chinese hematopoietic stem cell donor. International Journal of Hematology. 88(3). 321–323. 1 indexed citations
15.
Guo, Xiaoling, et al.. (2007). Expression and mutation analysis of genes that encode the Myc antagonists Mad1, Mxi1 and Rox in acute leukaemia. Leukemia & lymphoma. 48(6). 1200–1207. 12 indexed citations
16.
Da, Wan-Ming, et al.. (2006). [CD4+CD25+ regulatory T cells and their function in graft-versus-host disease--review].. PubMed. 14(2). 408–12. 1 indexed citations
17.
Huang, Wenrong, Lisheng Wang, & Wan-Ming Da. (2005). [Effects of sphingosine 1-phosphate on functions of T cell - review].. PubMed. 13(4). 718–22.
18.
Chen, Jie, Wan-Ming Da, Dawei Zhang, Qing Liu, & Jiuhong Kang. (2005). Water-soluble antioxidants improve the antioxidant and anticancer activity of low concentrations of curcumin in human leukemia cells.. PubMed. 60(1). 57–61. 57 indexed citations
19.
Kang, Jiuhong, et al.. (2004). Synergistic killing of human leukemia cells by antioxidants and trichostatin A. Cancer Chemotherapy and Pharmacology. 54(6). 537–545. 9 indexed citations
20.
Da, Wan-Ming. (1988). In vitro studies on the pathogenesis of aplastic anemia in Chinese patients.. PubMed. 16(5). 336–9. 4 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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