Sanyun Wu

591 total citations
20 papers, 296 citations indexed

About

Sanyun Wu is a scholar working on Hematology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Sanyun Wu has authored 20 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 9 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Sanyun Wu's work include Acute Myeloid Leukemia Research (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Sanyun Wu is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Sanyun Wu collaborates with scholars based in China, United States and Taiwan. Sanyun Wu's co-authors include Xuelan Zuo, Ping Luo, Jiancheng Tu, Yalan Yu, Shuo Li, Xinliang Ming, Hubert Tsui, Fuling Zhou, Hsing‐Ching Kuo and Yongchang Wei and has published in prestigious journals such as Nature Communications, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Sanyun Wu

17 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanyun Wu China 8 130 82 53 51 48 20 296
Hengning Ke China 8 213 1.6× 85 1.0× 21 0.4× 44 0.9× 83 1.7× 19 374
Junchang Zhang China 12 113 0.9× 59 0.7× 35 0.7× 51 1.0× 71 1.5× 26 289
Haoran Zhang China 9 83 0.6× 60 0.7× 13 0.2× 45 0.9× 88 1.8× 38 287
Naizhou Guo China 8 125 1.0× 64 0.8× 77 1.5× 59 1.2× 136 2.8× 11 387
Frank Lippek Germany 9 91 0.7× 66 0.8× 42 0.8× 34 0.7× 61 1.3× 15 349
Fumiya Yamashita Japan 7 58 0.4× 28 0.3× 106 2.0× 84 1.6× 38 0.8× 19 269
Tiffany Shih United States 5 106 0.8× 37 0.5× 27 0.5× 57 1.1× 110 2.3× 8 423
Mei Liu China 12 116 0.9× 40 0.5× 96 1.8× 89 1.7× 69 1.4× 31 387
Sara R. Rashkin United States 8 134 1.0× 57 0.7× 7 0.1× 48 0.9× 88 1.8× 16 379
Jeong Hoon Bae South Korea 7 194 1.5× 45 0.5× 175 3.3× 69 1.4× 72 1.5× 16 462

Countries citing papers authored by Sanyun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sanyun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanyun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sanyun Wu. A scholar is included among the top collaborators of Sanyun 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 Sanyun Wu. Sanyun 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.
Liu, Yin, et al.. (2025). Engineered Cas12a-based one-tube detection of DNMT3A R882 H/C mutation in acute myeloid leukemia. Biosensors and Bioelectronics. 286. 117609–117609.
2.
Liu, Yu, Yingying Wang, Gang Huang, et al.. (2024). The role of leukocytes in myeloproliferative neoplasm thromboinflammation. Journal of Leukocyte Biology. 115(6). 1020–1028. 2 indexed citations
3.
Zhang, Qiuyan, Sanyun Wu, Wenjin Liang, et al.. (2024). Case report: A successful clinical experience of transplantation of liver and kidney from a donor with myelodysplastic syndromes. Frontiers in Immunology. 15. 1360955–1360955. 1 indexed citations
4.
Liu, Xinyi, Dongyi Wei, Lu Dang, et al.. (2024). CoHIT: a one-pot ultrasensitive ERA-CRISPR system for detecting multiple same-site indels. Nature Communications. 15(1). 5014–5014. 17 indexed citations
5.
Wu, Sanyun, et al.. (2023). The Combination of JAK2V617F Allele Burden and WT1 Expression can Be Helpful in Distinguishing the Subtype of MPN Patients. Cancer Control. 30. 2915581696–2915581696. 1 indexed citations
6.
Zhu, Ying, et al.. (2023). Improving the diagnosis of myelodysplastic syndrome by red blood cell parameters. Clinical & Translational Oncology. 25(10). 2983–2990.
7.
Wang, Xuanyu, Sanyun Wu, Le Sun, et al.. (2023). Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia. Scientific Reports. 13(1). 18372–18372. 4 indexed citations
8.
Zhang, Nan, Xiaoyan Liu, Jinxian Wu, et al.. (2022). Serum proteomics screening intercellular adhesion molecule-2 improves intermediate-risk stratification in acute myeloid leukemia. Therapeutic Advances in Hematology. 13. 1554050106–1554050106. 7 indexed citations
9.
Yu, Yalan, Hui Shen, Li Liu, et al.. (2022). Interphase Fluorescence <em>in situ</em> Hybridization of Bone Marrow Smears of Multiple Myeloma. Journal of Visualized Experiments. 1 indexed citations
10.
Xiao, Hui, Jing He, Sanyun Wu, et al.. (2021). A new workflow on bone marrow aspiration and biopsy during the COVID-19 pandemic. Archives of Medical Science. 17(5). 1429–1432.
11.
Xiong, Bei, Mei Xue, Yalan Yu, Sanyun Wu, & Xuelan Zuo. (2020). SF3B1 Mutation but Not Ring Sideroblasts Identifies a Specific Group of Myelodysplastic Syndrome–Refractory Cytopenia With Multilineage Dysplasia. Clinical Lymphoma Myeloma & Leukemia. 20(5). 329–339.e3. 5 indexed citations
12.
Zhou, Fuling, Jingfeng Li, Mengxin Lü, et al.. (2020). Tracing asymptomatic SARS-CoV-2 carriers among 3674 hospital staff:a cross-sectional survey. EClinicalMedicine. 26. 100510–100510. 14 indexed citations
13.
Wang, Tianci, Jin Xu, Sanyun Wu, et al.. (2020). WEE1 inhibition induces glutamine addiction in T-cell acute lymphoblastic leukemia. Haematologica. 106(7). 1816–1827. 23 indexed citations
14.
Zhou, Fuling, Mengxin Lü, Xiaobin Zhu, et al.. (2020). Tracing Asymptomatic SARS-CoV-2 Carriers Among 3674 Hospital Staff. SSRN Electronic Journal. 1 indexed citations
15.
Luo, Ping, Jing Wei, Kezhen Yi, Sanyun Wu, & Fuling Zhou. (2020). Wilms’ tumor 1 gene in hematopoietic malignancies: clinical implications and future directions. Leukemia & lymphoma. 61(9). 2059–2067. 11 indexed citations
16.
Luo, Ping, Sanyun Wu, Yalan Yu, et al.. (2019). Current Status and Perspective Biomarkers in AFP Negative HCC: Towards Screening for and Diagnosing Hepatocellular Carcinoma at an Earlier Stage. Pathology & Oncology Research. 26(2). 599–603. 159 indexed citations
17.
Sun, Meng, Fuling Zhou, Sanyun Wu, et al.. (2018). ASXL1 mutations in Chinese patients with essential thrombocythemia. Experimental and Therapeutic Medicine. 15(5). 4149–4156. 7 indexed citations
18.
Wu, Sanyun, Mingxia Yu, Zhen Sun, et al.. (2014). Identification of Homer1 as a Potential Prognostic Marker for Intrahepatic Cholangiocarcinoma. Asian Pacific Journal of Cancer Prevention. 15(7). 3299–3304. 5 indexed citations
19.
Tu, Jiancheng, et al.. (2014). Examination of Huntington′s disease in a Chinese family. Neural Regeneration Research. 9(4). 440–440. 3 indexed citations
20.
Wu, Sanyun, et al.. (2009). Marchiafava-Bignami Disease with Widespread Lesions and Complete Recovery. American Journal of Neuroradiology. 31(8). 1506–1507. 35 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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