Wen Du

1.0k total citations
44 papers, 652 citations indexed

About

Wen Du is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Wen Du has authored 44 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Hematology and 12 papers in Surgery. Recurrent topics in Wen Du's work include Acute Myeloid Leukemia Research (14 papers), Pancreatic function and diabetes (11 papers) and Chronic Myeloid Leukemia Treatments (8 papers). Wen Du is often cited by papers focused on Acute Myeloid Leukemia Research (14 papers), Pancreatic function and diabetes (11 papers) and Chronic Myeloid Leukemia Treatments (8 papers). Wen Du collaborates with scholars based in China, United States and Japan. Wen Du's co-authors include Shiang Huang, Wei Liu, Huiyu Li, Yanli He, Jine Zheng, Domenico Accili, Xiaoqing Li, Junxia Yao, Furong Lu and Mohammad Ishraq Zafar and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Blood.

In The Last Decade

Wen Du

43 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Du China 16 283 162 102 90 89 44 652
Yuying Li China 11 171 0.6× 57 0.4× 78 0.8× 88 1.0× 71 0.8× 43 541
Francesco Agostini Italy 16 272 1.0× 80 0.5× 106 1.0× 109 1.2× 86 1.0× 39 784
Ümit Zeybek Türkiye 16 238 0.8× 44 0.3× 117 1.1× 85 0.9× 49 0.6× 50 613
Hong-Tao Wang China 14 218 0.8× 44 0.3× 70 0.7× 124 1.4× 107 1.2× 54 675
Maria T. K. Zaldivia Australia 9 237 0.8× 60 0.4× 32 0.3× 60 0.7× 57 0.6× 12 566
Gabriele Spohn Germany 14 207 0.7× 99 0.6× 112 1.1× 157 1.7× 32 0.4× 24 813
Gianfranca Corna Italy 13 319 1.1× 144 0.9× 89 0.9× 118 1.3× 98 1.1× 14 768
Saher Hamed Israel 13 289 1.0× 141 0.9× 105 1.0× 115 1.3× 55 0.6× 19 792
Xuemei Sun China 13 316 1.1× 93 0.6× 81 0.8× 27 0.3× 102 1.1× 56 635

Countries citing papers authored by Wen Du

Since Specialization
Citations

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

Fields of papers citing papers by Wen Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Du

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Du. A scholar is included among the top collaborators of Wen Du 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 Wen Du. Wen Du 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.
Watanabe, Hitoshi, Wen Du, Jinsook Son, et al.. (2023). Cyb5r3-based mechanism and reversal of secondary failure to sulfonylurea in diabetes. Science Translational Medicine. 15(681). 9 indexed citations
2.
Son, Jinsook, Wen Du, Mark Esposito, et al.. (2023). Genetic and pharmacologic inhibition of ALDH1A3 as a treatment of β-cell failure. Nature Communications. 14(1). 558–558. 26 indexed citations
3.
Kitamoto, Takumi, Hitoshi Watanabe, Wendy M. McKimpson, et al.. (2022). Chemical induction of gut β-like-cells by combined FoxO1/Notch inhibition as a glucose-lowering treatment for diabetes. Molecular Metabolism. 66. 101624–101624. 6 indexed citations
4.
Wan, Qianfen, Tianyu Li, Yang Xiao, et al.. (2022). Selective targeting of visceral adiposity by polycation nanomedicine. Nature Nanotechnology. 17(12). 1311–1321. 42 indexed citations
5.
Accili, Domenico, Wen Du, Takumi Kitamoto, et al.. (2022). Reflections on the state of diabetes research and prospects for treatment. Diabetology International. 14(1). 21–31. 3 indexed citations
6.
Kuo, Taiyi, Wen Du, Yasutaka Miyachi, et al.. (2021). Antagonistic epistasis of Hnf4α and FoxO1 metabolic networks through enhancer interactions in β-cell function. Molecular Metabolism. 53. 101256–101256. 6 indexed citations
7.
Wang, Liheng, Junjie Yu, Qiuzhong Zhou, et al.. (2021). TOX4, an insulin receptor-independent regulator of hepatic glucose production, is activated in diabetic liver. Cell Metabolism. 34(1). 158–170.e5. 23 indexed citations
8.
Fan, Jason, Wen Du, Ja Young Kim-Muller, et al.. (2020). Cyb5r3 links FoxO1-dependent mitochondrial dysfunction with β-cell failure. Molecular Metabolism. 34. 97–111. 29 indexed citations
9.
Du, Wen, Juan Li, Wei Liu, et al.. (2015). Interleukin-3 receptor α chain (CD123) is preferentially expressed in immature T-ALL and may not associate with outcomes of chemotherapy. Tumor Biology. 37(3). 3817–3821. 8 indexed citations
10.
Du, Wen, et al.. (2015). 4-Hydroxyisoleucine ameliorates an insulin resistant-like state in 3T3-L1 adipocytes by regulating TACE/TIMP3 expression. Drug Design Development and Therapy. 9. 5727–5727. 22 indexed citations
11.
He, Yanli, Ping Wang, Kaiwei Liang, et al.. (2015). A Pediatric Acute Promyelocytic Leukemia With a Rare Karyotype of ider(17)(q10)t(15;17) and Favorable Outcome. Medicine. 94(41). e1778–e1778. 2 indexed citations
12.
Liu, Qi, et al.. (2015). Identification of apoptosis-related microRNAs and their target genes in myocardial infarction post-transplantation with skeletal myoblasts. Journal of Translational Medicine. 13(1). 270–270. 30 indexed citations
13.
You, Yong, Xiaoqing Li, Jine Zheng, et al.. (2013). Transcript level of nucleostemin in newly diagnosed acute myeloid leukemia patients. Leukemia Research. 37(12). 1636–1641. 6 indexed citations
14.
Li, Xin, Xiaoqing Li, Wei Xie, et al.. (2012). Comprehensive profile of cytogenetics in 2308 Chinese children and adults with de novo acute myeloid leukemia. Blood Cells Molecules and Diseases. 49(2). 107–113. 14 indexed citations
15.
Zheng, Fang, et al.. (2012). Human ether-a-go-go-related gene K+channels regulate shedding of leukemia cell-derived microvesicles. Leukemia & lymphoma. 53(8). 1592–1598. 4 indexed citations
16.
Xie, Wei, Xuhua Wang, Wen Du, et al.. (2010). Detection of molecular targets on the surface of CD34+CD38 bone marrow cells in myelodysplastic syndromes. Cytometry Part A. 77A(9). 840–848. 20 indexed citations
17.
Li, Huiyu, Yimei Du, Linlin Guo, et al.. (2009). The role of hERG1 K+ channels and a functional link between hERG1 K+ channels and SDF-1 in acute leukemic cell migration. Experimental Cell Research. 315(13). 2256–2264. 18 indexed citations
18.
Du, Wen, et al.. (2009). Expression of ADAM‐15 in rat myocardial infarction. International Journal of Experimental Pathology. 90(3). 347–354. 10 indexed citations
19.
Zheng, Jine, Xingbing Wang, Yu Hu, et al.. (2007). A correlation study of immunophenotypic, cytogenetic, and clinical features of 180 AML patients in China. Cytometry Part B Clinical Cytometry. 74B(1). 25–29. 40 indexed citations
20.
Li, Huiyu, Liqiong Liu, Tiannan Guo, et al.. (2007). Expression and fuactional role of HERG1, K+ channels in leukemic cells and leukemic stem cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 27(3). 257–260. 8 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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