Min‐Yuan Wu

739 total citations
41 papers, 434 citations indexed

About

Min‐Yuan Wu is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Molecular Biology. According to data from OpenAlex, Min‐Yuan Wu has authored 41 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Public Health, Environmental and Occupational Health, 16 papers in Hematology and 15 papers in Molecular Biology. Recurrent topics in Min‐Yuan Wu's work include Acute Lymphoblastic Leukemia research (31 papers), Childhood Cancer Survivors' Quality of Life (14 papers) and Acute Myeloid Leukemia Research (11 papers). Min‐Yuan Wu is often cited by papers focused on Acute Lymphoblastic Leukemia research (31 papers), Childhood Cancer Survivors' Quality of Life (14 papers) and Acute Myeloid Leukemia Research (11 papers). Min‐Yuan Wu collaborates with scholars based in China, United States and Canada. Min‐Yuan Wu's co-authors include Zhigang Li, Chao Gao, Lei Cui, Weijing Li, Xiaoxi Zhao, Shuguang Liu, Zhixia Yue, Huyong Zheng, Ruidong Zhang and Ying Jiao and has published in prestigious journals such as Blood, Medicine and British Journal of Haematology.

In The Last Decade

Min‐Yuan Wu

40 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min‐Yuan Wu China 11 267 176 173 148 69 41 434
Huyong Zheng China 11 163 0.6× 111 0.6× 144 0.8× 101 0.7× 73 1.1× 36 347
Lidija Dokmanović Serbia 13 163 0.6× 114 0.6× 145 0.8× 109 0.7× 53 0.8× 47 419
Edward Kwan Australia 10 213 0.8× 132 0.8× 57 0.3× 79 0.5× 21 0.3× 20 337
Henrik Schr�der Denmark 8 234 0.9× 151 0.9× 93 0.5× 98 0.7× 19 0.3× 13 371
Elva Jiménez‐Hernández Mexico 10 105 0.4× 79 0.4× 95 0.5× 68 0.5× 47 0.7× 33 312
Yajamanam Badrinath India 14 266 1.0× 298 1.7× 131 0.8× 71 0.5× 21 0.3× 45 548
Kurt Schroeder United States 6 88 0.3× 49 0.3× 170 1.0× 60 0.4× 50 0.7× 18 342
F. C. de Waal Netherlands 9 157 0.6× 124 0.7× 130 0.8× 34 0.2× 33 0.5× 23 332
Claire G. Jones United Kingdom 8 266 1.0× 272 1.5× 43 0.2× 67 0.5× 11 0.2× 19 405
Ansu Abu Alex India 9 94 0.4× 202 1.1× 150 0.9× 35 0.2× 43 0.6× 22 334

Countries citing papers authored by Min‐Yuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Yuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min‐Yuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Yuan Wu. A scholar is included among the top collaborators of Min‐Yuan Wu 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 Min‐Yuan Wu. Min‐Yuan Wu 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.
Cui, Lei, Chao Gao, Chanjuan Wang, et al.. (2020). Low expression of CTBP2 and CASP8AP2 predicts risk of relapse in childhood B-cell precursor acute lymphoblastic leukemia: a retrospective cohort study. Pediatric Hematology and Oncology. 37(8). 732–746. 3 indexed citations
2.
Wang, Kai‐Ling, et al.. (2018). The role of combined analysis of E2F3a and CASP8AP2 expression in prognosis evaluation in pediatric acute lymphoblastic leukemia. Zhonghua shiyong erke linchuang zazhi. 33(9). 697–701. 1 indexed citations
3.
Liu, Feifei, Kai‐Ling Wang, Liping Deng, et al.. (2018). Transcription factor E2F3a regulates CASP8AP2 transcription and enhances sensitivity to chemotherapeutic drugs in acute lymphoblastic leukemia. Cancer Cell International. 18(1). 40–40. 6 indexed citations
4.
Li, Weijing, Lei Cui, Chao Gao, et al.. (2017). DNMT3A mutations in Chinese childhood acute myeloid leukemia. Medicine. 96(31). e7620–e7620. 5 indexed citations
5.
Chen, Yongbing, Zhigang Li, Runhui Wu, et al.. (2015). Infections During Induction Therapy of Protocol CCLG-2008 in Childhood Acute Lymphoblastic Leukemia. Chinese Medical Journal. 128(4). 472–476. 10 indexed citations
6.
Wang, Kai‐Ling, Lei Cui, Chao Gao, et al.. (2014). [Comparison of the efficacy of two chemotherapy protocols for children with TEL-AML1[STBZ] fusion gene positive acute lymphoblastic leukemia].. PubMed. 22(2). 285–90. 1 indexed citations
7.
Cui, Lei, Chao Gao, Ruidong Zhang, et al.. (2014). Low expressions of ARS2 and CASP8AP2 predict relapse and poor prognosis in pediatric acute lymphoblastic leukemia patients treated on China CCLG-ALL 2008 protocol. Leukemia Research. 39(2). 115–123. 13 indexed citations
8.
Li, Weijing, Chao Gao, Lei Cui, et al.. (2014). DNMT3Amutations and prognostic significance in childhood acute lymphoblastic leukemia. Leukemia & lymphoma. 56(4). 1066–1071. 8 indexed citations
9.
Liu, Shuguang, Chao Gao, Zhigang Li, et al.. (2014). [Correlation analysis of FPGS rs10760502G>a polymorphism with prognosis and MTX-related toxicity in pediatric B-cell acute lymphoblastic leukemia].. PubMed. 22(2). 291–7. 1 indexed citations
10.
Liu, Shuguang, Chao Gao, Ruidong Zhang, et al.. (2013). FPGS rs1544105 polymorphism is associated with treatment outcome in pediatric B-cell precursor acute lymphoblastic leukemia. Cancer Cell International. 13(1). 107–107. 23 indexed citations
11.
Li, Zhigang, Ying Jiao, Weijing Li, et al.. (2013). Hypermethylation of two CpG sites upstream of CASP8AP2 promoter influences gene expression and treatment outcome in childhood acute lymphoblastic leukemia. Leukemia Research. 37(10). 1287–1293. 10 indexed citations
12.
13.
Jiao, Ying, Lei Cui, Chao Gao, et al.. (2011). CASP8AP2 is a promising prognostic indicator in pediatric acute lymphoblastic leukemia. Leukemia Research. 36(1). 67–71. 20 indexed citations
14.
Cui, Lei, Zhigang Li, Min‐Yuan Wu, et al.. (2010). Combined analysis of minimal residual disease at two time points and its value for risk stratification in childhood B-lineage acute lymphoblastic leukemia. Leukemia Research. 34(10). 1314–1319. 19 indexed citations
15.
Ma, Xiaoli, Bin Wang, Yonghong Zhang, et al.. (2010). [Tolerability of 6-mercaptopurine in children with acute lymphoblastic leukemia].. PubMed. 48(4). 289–92. 6 indexed citations
16.
Li, Zhigang, Wei Zhang, Min‐Yuan Wu, et al.. (2009). Gene expression–based classification and regulatory networks of pediatric acute lymphoblastic leukemia. Blood. 114(20). 4486–4493. 35 indexed citations
17.
Wu, Min‐Yuan. (2008). Evaluation Clinical data and Current Condition of Children Hemophilic Patients in China. 6 indexed citations
18.
Liu, Jieyu, Zhigang Li, Chao Gao, Lei Cui, & Min‐Yuan Wu. (2008). [Characteristics of T cell receptor beta gene rearrangements and its role in minimal residual disease detection in childhood T-cell acute lymphoblastic leukemia].. PubMed. 46(7). 487–92. 3 indexed citations
19.
Li, Zhigang, Min‐Yuan Wu, Wei Zhao, et al.. (2003). [Detection of 29 types of fusion gene in leukemia by multiplex RT-PCR].. PubMed. 24(5). 256–8. 6 indexed citations
20.
Wu, Min‐Yuan, et al.. (2002). Fabrication of depletion- and enhancement-mode GaInP/GaAs δ-HEMT's. 218–220.

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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