Daoxiang Zhang

1.8k total citations
43 papers, 1.3k citations indexed

About

Daoxiang Zhang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Daoxiang Zhang has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Daoxiang Zhang's work include Pancreatic and Hepatic Oncology Research (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Daoxiang Zhang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Daoxiang Zhang collaborates with scholars based in China, United States and Finland. Daoxiang Zhang's co-authors include Jun Mi, Xiaodan Hou, Pan Sun, Kian‐Huat Lim, Wujun Xiong, Jinyi Liu, Yong‐Bin Wang, Shimin Zhao, Andrea Wang‐Gillam and Jian Zhang and has published in prestigious journals such as Journal of Clinical Investigation, Gastroenterology and Cancer Research.

In The Last Decade

Daoxiang Zhang

42 papers receiving 1.3k citations

Peers

Daoxiang Zhang

IMMUN

ONCOL

PRM

Xuesen Zhang China

Francesca Simonato Italy

Ashley Smith United States

Xiaolong Fan China

Daniel Klevebring Sweden

Christer Larsson Sweden

Chee‐Hong Wong United States

Jeong‐Hyeon Choi United States

Yunguang Sun United States

Pradeep Sathyanarayana United States

Xuesen Zhang China

Daoxiang Zhang

919 ×1.4

319 ×0.6

379 ×0.9

IMMUN

295 ×0.8

ONCOL

64 ×0.9

PRM

Citations per year, relative to Daoxiang Zhang Daoxiang Zhang (= 1×) peers Xuesen Zhang

Countries citing papers authored by Daoxiang Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Daoxiang Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoxiang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Daoxiang Zhang. A scholar is included among the top collaborators of Daoxiang Zhang 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 Daoxiang Zhang. Daoxiang Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Hui, Xiaoxiao Meng, Zhenzhen Li, et al.. (2023). Structural insights into the substrate binding sites of O-carbamoyltransferase VtdB from Streptomyces sp. NO1W98. Biochemical and Biophysical Research Communications. 659. 40–45.

Bao, Xunxia, et al.. (2023). Pan-cancer analysis reveals the potential of hyaluronate synthase as therapeutic targets in human tumors. Heliyon. 9(8). e19112–e19112. 8 indexed citations

Zhang, Daoxiang, Varintra E. Lander, Xiuting Liu, et al.. (2022). IRAK4 Signaling Drives Resistance to Checkpoint Immunotherapy in Pancreatic Ductal Adenocarcinoma. Gastroenterology. 162(7). 2047–2062. 33 indexed citations

Grierson, Patrick, Iftikhar Ali Khawar, Daoxiang Zhang, et al.. (2021). The MK2/Hsp27 axis is a major survival mechanism for pancreatic ductal adenocarcinoma under genotoxic stress.. PubMed. 13(622). eabb5445–eabb5445. 13 indexed citations

Khurana, Namrata, Daoxiang Zhang, Lin Li, et al.. (2020). TPL2 enforces RAS-induced inflammatory signaling and is activated by point mutations. Journal of Clinical Investigation. 130(9). 4771–4790. 24 indexed citations

Li, Qiong, Yali Chen, Daoxiang Zhang, et al.. (2019). IRAK4 mediates colitis-induced tumorigenesis and chemoresistance in colorectal cancer. JCI Insight. 4(19). 31 indexed citations

Zhang, Daoxiang, Lin Li, Hongmei Jiang, et al.. (2018). Tumor–Stroma IL1β-IRAK4 Feedforward Circuitry Drives Tumor Fibrosis, Chemoresistance, and Poor Prognosis in Pancreatic Cancer. Cancer Research. 78(7). 1700–1712. 145 indexed citations

Jiang, Hongmei, Ming Xu, Lin Li, et al.. (2018). Concurrent HER or PI3K Inhibition Potentiates the Antitumor Effect of the ERK Inhibitor Ulixertinib in Preclinical Pancreatic Cancer Models. Molecular Cancer Therapeutics. 17(10). 2144–2155. 32 indexed citations

Pin, Guo, Yanan Yu, Huanting Li, et al.. (2017). TGF-β1-induced miR-503 controls cell growth and apoptosis by targeting PDCD4 in glioblastoma cells. Scientific Reports. 7(1). 11569–11569. 13 indexed citations

10.

Wang, Lingling, Huan Zhang, Leilei Wang, et al.. (2017). The RNA-seq analysis suggests a potential multi-component complement system in oyster Crassostrea gigas. Developmental & Comparative Immunology. 76. 209–219. 37 indexed citations

11.

Zhang, Daoxiang, Lin Li, Hongmei Jiang, et al.. (2016). Constitutive IRAK4 Activation Underlies Poor Prognosis and Chemoresistance in Pancreatic Ductal Adenocarcinoma. Clinical Cancer Research. 23(7). 1748–1759. 60 indexed citations

12.

Zhang, Daoxiang & Ping Yan. (2016). Uniqueness and hyperbolicity of limit cycles for autonomous planar systems with zero diagonal coefficient. Applied Mathematics Letters. 67. 75–80. 1 indexed citations

13.

Wang, Leilei, Jinpeng Wang, Daoxiang Zhang, et al.. (2015). A novel multi-domain C1qDC protein from Zhikong scallop Chlamys farreri provides new insights into the function of invertebrate C1qDC proteins. Developmental & Comparative Immunology. 52(2). 202–214. 21 indexed citations

14.

Jiang, Shuai, Hui Li, Daoxiang Zhang, et al.. (2015). A C1q domain containing protein from Crassostrea gigas serves as pattern recognition receptor and opsonin with high binding affinity to LPS. Fish & Shellfish Immunology. 45(2). 583–591. 47 indexed citations

15.

Zhang, Daoxiang, Yong‐Bin Wang, Zhimin Shi, et al.. (2015). Metabolic Reprogramming of Cancer-Associated Fibroblasts by IDH3α Downregulation. Cell Reports. 10(8). 1335–1348. 265 indexed citations

16.

Wei, Zhonghua, Long Cui, Zubing Mei, Min Liu, & Daoxiang Zhang. (2014). miR‐181a mediates metabolic shift in colon cancer cells via the PTEN/AKT pathway. FEBS Letters. 588(9). 1773–1779. 90 indexed citations

17.

Sun, Pan, et al.. (2014). Hexokinase 2 regulates G1/S checkpoint through CDK2 in cancer-associated fibroblasts. Cellular Signalling. 26(10). 2210–2216. 45 indexed citations

18.

Wang, Mengqiang, Lingling Wang, Ying Guo, et al.. (2014). A high mobility group box 1 (HMGB1) gene from Chlamys farreri and the DNA-binding ability and pro-inflammatory activity of its recombinant protein. Fish & Shellfish Immunology. 36(2). 393–400. 25 indexed citations

19.

Wang, Leilei, Daoxiang Zhang, Fengmei Li, et al.. (2013). A novel C-type lectin from crab Eriocheir sinensis functions as pattern recognition receptor enhancing cellular encapsulation. Fish & Shellfish Immunology. 34(3). 832–842. 88 indexed citations

20.

Li, Qiong, Daoxiang Zhang, Yongbin Wang, et al.. (2013). MiR-21/Smad 7 signaling determines TGF-β1-induced CAF formation. Scientific Reports. 3(1). 2038–2038. 158 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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