Dingming Wan

1.0k total citations
56 papers, 563 citations indexed

About

Dingming Wan is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dingming Wan has authored 56 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hematology, 12 papers in Molecular Biology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dingming Wan's work include Acute Myeloid Leukemia Research (17 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Acute Lymphoblastic Leukemia research (11 papers). Dingming Wan is often cited by papers focused on Acute Myeloid Leukemia Research (17 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Acute Lymphoblastic Leukemia research (11 papers). Dingming Wan collaborates with scholars based in China, United Kingdom and United States. Dingming Wan's co-authors include Jifeng Yu, Yingmei Li, Zhongxing Jiang, Weijie Cao, Haizhou Xing, Xinsheng Xie, Yongping Song, Haowei Sun, Suping Zhang and Danfeng Zhang and has published in prestigious journals such as Blood, Scientific Reports and Experimental Cell Research.

In The Last Decade

Dingming Wan

50 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingming Wan China 14 234 225 133 120 102 56 563
Seiko Kato Japan 14 420 1.8× 99 0.4× 127 1.0× 142 1.2× 45 0.4× 80 691
Yingchang Mi China 17 458 2.0× 418 1.9× 172 1.3× 86 0.7× 63 0.6× 124 885
Étienne Paubelle France 9 150 0.6× 111 0.5× 82 0.6× 80 0.7× 28 0.3× 24 373
Marina Díaz‐Beyá Spain 14 513 2.2× 356 1.6× 135 1.0× 53 0.4× 141 1.4× 38 842
Xiaowen Zhai China 12 115 0.5× 120 0.5× 99 0.7× 49 0.4× 26 0.3× 66 406
Huirong Mai China 11 126 0.5× 148 0.7× 56 0.4× 71 0.6× 35 0.3× 46 347
Koki Ueda Japan 13 194 0.8× 210 0.9× 74 0.6× 36 0.3× 24 0.2× 34 563
Judit Müller Hungary 14 96 0.4× 145 0.6× 82 0.6× 36 0.3× 52 0.5× 47 525
Philip Lowry United States 11 238 1.0× 200 0.9× 152 1.1× 132 1.1× 33 0.3× 28 651
Donata Urbaniak‐Kujda Poland 12 91 0.4× 98 0.4× 130 1.0× 88 0.7× 23 0.2× 37 416

Countries citing papers authored by Dingming Wan

Since Specialization
Citations

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

Fields of papers citing papers by Dingming Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingming Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Dingming Wan. A scholar is included among the top collaborators of Dingming Wan 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 Dingming Wan. Dingming Wan 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.
Lu, Runqing, Dingming Wan, Xinsheng Xie, et al.. (2023). Effects of post-transplant maintenance therapy with decitabine prophylaxis on the relapse for acute lymphoblastic leukemia. Bone Marrow Transplantation. 58(6). 687–695. 5 indexed citations
2.
Ran, Yan, Suping Zhang, Li Li, et al.. (2023). Rectal culture could predict carbapenem-resistant organism bloodstream infection and reduce the mortality in haematological patients: A retrospective cohort study. Journal of Global Antimicrobial Resistance. 36. 96–104. 2 indexed citations
3.
Zhang, Yupei, Ran Zhang, Xue Li, et al.. (2022). Impact of treatments before allogeneic hematopoietic stem cell transplantation in patients with higher-risk myelodysplastic syndrome. Leukemia Research. 124. 106997–106997. 1 indexed citations
4.
Cao, Weijie, Zhilei Bian, Li Li, et al.. (2022). Active Screening of Intestinal Colonization of Carbapenem-Resistant Enterobacteriaceae for Subsequent Bloodstream Infection in Allogeneic Hematopoietic Stem Cell Transplantation. Infection and Drug Resistance. Volume 15. 5993–6006. 17 indexed citations
5.
Cao, Weijie, Xiaoning Li, Ran Zhang, et al.. (2022). Prognostic prediction of novel risk scores (AML-DRG and AML-HCT-CR) in acute myeloid leukemia patients with allogeneic hematopoietic stem cell transplantation. Scientific Reports. 12(1). 19024–19024. 2 indexed citations
6.
Li, Yingmei, Jifeng Yu, Fang Wang, et al.. (2021). MiR-150-5p regulate T cell activation in severe aplastic anemia by targeting Bach2. Cell and Tissue Research. 384(2). 423–434. 10 indexed citations
7.
Xu, Lan‐Ping, Peihua Lu, Depei Wu, et al.. (2021). Hematopoietic stem cell transplantation activity in China 2019: a report from the Chinese Blood and Marrow Transplantation Registry Group. Bone Marrow Transplantation. 56(12). 2940–2947. 50 indexed citations
8.
Li, Li, Dingming Wan, Lin Li, Qin Yang, & Wang Ma. (2021). lncRNA RAET1K Promotes the Progression of Acute Myeloid Leukemia by Targeting miR-503-5p/INPP4B Axis. OncoTargets and Therapy. Volume 14. 531–544. 4 indexed citations
9.
Yu, Jifeng, Yingmei Li, Haizhou Xing, et al.. (2020). <p>Deficient Regulatory Innate Lymphoid Cells and Differential Expression of miRNAs in Acute Myeloid Leukemia Quantified by Next Generation Sequence</p>. Cancer Management and Research. Volume 11. 10969–10982. 6 indexed citations
10.
Wang, Shujuan, Zhenzhen Wu, Yafei Li, et al.. (2020). Mutational spectrum and prognosis in NRAS-mutated acute myeloid leukemia. Scientific Reports. 10(1). 12152–12152. 23 indexed citations
11.
Wang, Meng, Huayan Zhao, Jinglan Zhang, et al.. (2020). Dysregulation of LncRNA ANRIL mediated by miR-411–3p inhibits the malignant proliferation and tumor stem cell like property of multiple myeloma via hypoxia-inducible factor 1α. Experimental Cell Research. 396(1). 112280–112280. 23 indexed citations
12.
Yu, Jifeng, Yingmei Li, Yafei Li, et al.. (2020). Gene mutational analysis by NGS and its clinical significance in patients with myelodysplastic syndrome and acute myeloid leukemia. Experimental Hematology and Oncology. 9(1). 2–2. 53 indexed citations
13.
Yu, Jifeng, Yingmei Li, Haizhou Xing, et al.. (2019). <p>Clinical Characteristics And Outcome Of Biphenotypic Acute Leukemia: 10 Case Reports And Literature Review</p>. Cancer Management and Research. Volume 11. 9297–9306. 6 indexed citations
14.
15.
Chen, Yao, Weijun Fu, Lan‐Ping Xu, et al.. (2019). Comparison of outcomes after human leukocyte antigen-matched and haploidentical hematopoietic stem-cell transplantation for multiple myeloma. Chinese Medical Journal. 132(15). 1765–1772. 5 indexed citations
16.
17.
Wang, Weimin, Feifei Wu, Ping Ma, et al.. (2018). [Expression of Long-Chain Non-coding RNA RP11-87C12.5 in Acute Lymphocytic Leukemia and Its Cinical Significance].. PubMed. 26(1). 26–31. 2 indexed citations
18.
19.
Cao, Weijie, Ke Wu, Chong Wang, & Dingming Wan. (2016). Polydatin-induced cell apoptosis and cell cycle arrest are potentiated by Janus kinase 2 inhibition in leukemia cells. Molecular Medicine Reports. 13(4). 3297–3302. 23 indexed citations
20.
Liu, Yanfang, Shengmei Chen, Ling Sun, et al.. (2010). [Immunophenotyping characteristics of adult patients with acute lymphoblastic leukemia in different ages].. PubMed. 18(4). 942–5. 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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