Die Zhang

895 total citations
40 papers, 533 citations indexed

About

Die Zhang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Die Zhang has authored 40 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Die Zhang's work include Neuroscience and Neuropharmacology Research (7 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Functional Brain Connectivity Studies (5 papers). Die Zhang is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Functional Brain Connectivity Studies (5 papers). Die Zhang collaborates with scholars based in China, United States and Singapore. Die Zhang's co-authors include Jie Wu, Ronald J. Lukas, Ming Gao, Kechun Yang, Andrei Dragomir, Yu Jin, Metin Akay, Yasemin M. Akay, Jing Xu and Liang Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Diabetes.

In The Last Decade

Die Zhang

40 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Die Zhang China 14 290 128 78 55 51 40 533
Jan Henryk Spodnik Poland 15 273 0.9× 105 0.8× 60 0.8× 54 1.0× 53 1.0× 53 607
Yuting Tang China 15 509 1.8× 188 1.5× 70 0.9× 72 1.3× 53 1.0× 55 814
Robert S. Pulido United States 3 196 0.7× 106 0.8× 91 1.2× 25 0.5× 35 0.7× 3 620
Zhizhen Lv China 13 380 1.3× 81 0.6× 104 1.3× 79 1.4× 50 1.0× 24 679
Chris McKinnon United Kingdom 11 457 1.6× 244 1.9× 111 1.4× 76 1.4× 102 2.0× 17 873
Kyle Hurth United States 13 182 0.6× 71 0.6× 55 0.7× 23 0.4× 65 1.3× 46 599
Manveen K. Gupta United States 15 333 1.1× 123 1.0× 90 1.2× 106 1.9× 29 0.6× 22 595
Birgit Uhlenberg Germany 10 529 1.8× 84 0.7× 81 1.0× 37 0.7× 62 1.2× 16 981
Anita Ramanathan United States 6 213 0.7× 90 0.7× 171 2.2× 74 1.3× 74 1.5× 6 692

Countries citing papers authored by Die Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Die Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Die Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Die Zhang. A scholar is included among the top collaborators of Die 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 Die Zhang. Die Zhang 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.
Zhang, Die, Nanguang Chen, Chaoqiang Liu, et al.. (2025). Long-term obesity impacts brain morphology, functional connectivity and cognition in adults. Nature Mental Health. 3(4). 466–478. 3 indexed citations
2.
Thomas, Riya, Die Zhang, Sanjay K. Singh, et al.. (2025). Subcellular functions of tau mediate repair response and synaptic homeostasis in injury. Molecular Psychiatry. 30(10). 4460–4472. 1 indexed citations
3.
Yang, Yue, et al.. (2024). Progress in Research on Inhibitors Targeting SARS-CoV-2 Main Protease (Mpro). ACS Omega. 9(32). 34196–34219. 9 indexed citations
4.
Feng, Dandan, Jie Gao, Ruiqiong Liu, et al.. (2024). CARM1 drives triple-negative breast cancer progression by coordinating with HIF1A. Protein & Cell. 15(10). 744–765. 11 indexed citations
5.
Yang, Yuan, et al.. (2024). Sleep disorders among frontline nurses after the COVID-19 outbreak: a large-scale cross-sectional study. Journal of Neural Transmission. 132(1). 139–147. 1 indexed citations
6.
Xiong, Yige, Die Zhang, Wei Yuan, et al.. (2024). Artificial intelligence in rechargeable battery: Advancements and prospects. Energy storage materials. 73. 103860–103860. 15 indexed citations
7.
Zhuo, Caili, Juan-Juan Xin, Wenjing Huang, et al.. (2023). Irisin protects against doxorubicin-induced cardiotoxicity by improving AMPK-Nrf2 dependent mitochondrial fusion and strengthening endogenous anti-oxidant defense mechanisms. Toxicology. 494. 153597–153597. 21 indexed citations
8.
Yang, Tianshu, Wei Huang, Tianyu Ma, et al.. (2023). The PRMT6/PARP1/CRL4B Complex Regulates the Circadian Clock and Promotes Breast Tumorigenesis. Advanced Science. 10(14). e2202737–e2202737. 17 indexed citations
9.
Liu, Wei, Yi Zeng, Xin Wang, et al.. (2023). JARID2 coordinates with the NuRD complex to facilitate breast tumorigenesis through response to adipocyte‐derived leptin. Cancer Communications. 43(10). 1117–1142. 12 indexed citations
10.
11.
Cao, Yi, Chen Zhang, Cheng Peng, et al.. (2022). A convolutional neural network-based COVID-19 detection method using chest CT images. Annals of Translational Medicine. 10(6). 333–333. 5 indexed citations
12.
13.
Huo, Miaomiao, Yahui Zhao, Xianghe Liu, et al.. (2020). EGFR targeting enhances the efficiency of chemotherapy through inhibiting IRE1α-XBP1s pathway in colorectal cancer cells. Journal of Cancer. 11(15). 4464–4473. 9 indexed citations
14.
Hao, Bingbing, Xiaojing Li, Yuxing Wang, et al.. (2020). The novel cereblon modulator CC-885 inhibits mitophagy via selective degradation of BNIP3L. Acta Pharmacologica Sinica. 41(9). 1246–1254. 34 indexed citations
15.
Zhu, Lan, Jie Liu, Die Zhang, et al.. (2019). SENP1-mediated deSUMOylation of USP28 regulated HIF-1α accumulation and activation during hypoxia response. Cancer Cell International. 19(1). 4–4. 27 indexed citations
16.
Kanlikilicer, Pınar, Die Zhang, Andrei Dragomir, Yasemin M. Akay, & Metin Akay. (2016). Gene expression profiling of midbrain dopamine neurons upon gestational nicotine exposure. Medical & Biological Engineering & Computing. 55(3). 467–482. 8 indexed citations
17.
Zhang, Die, Andrei Dragomir, Yasemin M. Akay, & Metin Akay. (2014). Nicotine exposure increases the complexity of dopamine neurons in the parainterfascicular nucleus (PIF) sub-region of VTA. Journal of NeuroEngineering and Rehabilitation. 11(1). 103–103. 13 indexed citations
18.
Zhang, Die, et al.. (2011). Complexity of VTA DA neural activities in response to PFC transection in nicotine treated rats. Journal of NeuroEngineering and Rehabilitation. 8(1). 13–13. 11 indexed citations
19.
Chen, Ting, Die Zhang, Andrei Dragomir, et al.. (2011). Investigating the influence of PFC transection and nicotine on dynamics of AMPA and NMDA receptors of VTA dopaminergic neurons. Journal of NeuroEngineering and Rehabilitation. 8(1). 58–58. 10 indexed citations
20.
Gao, Ming, Yu Jin, Kechun Yang, et al.. (2010). Mechanisms Involved in Systemic Nicotine-Induced Glutamatergic Synaptic Plasticity on Dopamine Neurons in the Ventral Tegmental Area. Journal of Neuroscience. 30(41). 13814–13825. 77 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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