Dekai Zhang

2.0k total citations · 1 hit paper
39 papers, 1.6k citations indexed

About

Dekai Zhang is a scholar working on Materials Chemistry, Applied Mathematics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Dekai Zhang has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 9 papers in Applied Mathematics and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Dekai Zhang's work include Luminescence Properties of Advanced Materials (9 papers), Geometric Analysis and Curvature Flows (8 papers) and Geometry and complex manifolds (6 papers). Dekai Zhang is often cited by papers focused on Luminescence Properties of Advanced Materials (9 papers), Geometric Analysis and Curvature Flows (8 papers) and Geometry and complex manifolds (6 papers). Dekai Zhang collaborates with scholars based in China and United States. Dekai Zhang's co-authors include Sankar Ghosh, Matthew S. Hayden, Fayyaz S. Sutterwala, Felix Yarovinsky, Richard A. Flavell, Charles N. Serhan, Sara Hieny, John F. Andersen, Gerard Bannenberg and Alan Sher and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Dekai Zhang

35 papers receiving 1.5k citations

Hit Papers

TLR11 Activation of Dendritic Cells by a Protozoan Profil... 2005 2026 2012 2019 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dekai Zhang China 15 653 341 326 292 257 39 1.6k
M. Shiro Japan 26 945 1.4× 390 1.1× 427 1.3× 325 1.1× 108 0.4× 152 2.5k
Ritesh Tandon United States 22 129 0.2× 482 1.4× 150 0.5× 357 1.2× 94 0.4× 58 1.5k
Christopher M. Smith United States 22 1.8k 2.8× 418 1.2× 38 0.1× 686 2.3× 228 0.9× 63 2.9k
Evelina Angov United States 31 836 1.3× 282 0.8× 313 1.0× 1.0k 3.5× 43 0.2× 67 2.8k
Daniel L. Clemens United States 34 634 1.0× 860 2.5× 99 0.3× 1.9k 6.4× 225 0.9× 58 4.0k
Jamal Khalife France 31 441 0.7× 368 1.1× 914 2.8× 637 2.2× 41 0.2× 98 3.1k
Eric J. Sundberg United States 41 1.8k 2.8× 350 1.0× 78 0.2× 1.7k 5.8× 228 0.9× 118 4.4k
Tomohiro Koyama Japan 28 134 0.2× 177 0.5× 77 0.2× 236 0.8× 600 2.3× 133 2.5k
Qinxue Hu China 34 1.0k 1.6× 764 2.2× 65 0.2× 984 3.4× 125 0.5× 101 3.5k
Shigetoshi Eda United States 27 314 0.5× 592 1.7× 96 0.3× 733 2.5× 56 0.2× 89 2.4k

Countries citing papers authored by Dekai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dekai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dekai Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Dekai Zhang. A scholar is included among the top collaborators of Dekai 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 Dekai Zhang. Dekai 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.
Fu, Jixiang, Shing‐Tung Yau, & Dekai Zhang. (2024). A new flow solving the LYZ equation in Kähler geometry. Journal of Differential Geometry. 128(1).
2.
Fu, Jixiang, Xin Xu, & Dekai Zhang. (2024). The Monge–Ampère equation for $$(n-1)$$-quaternionic PSH functions on a hyperKähler manifold. Mathematische Zeitschrift. 307(2).
3.
4.
Ma, Xi‐Nan, et al.. (2023). The exterior Dirichlet problem for the homogeneous complex k-Hessian equation. Advanced Nonlinear Studies. 23(1). 1 indexed citations
5.
Wang, Yuqin, Xiaoyu Cao, Dekai Zhang, et al.. (2022). SlGATA17, A tomato GATA protein, interacts with SlHY5 to modulate salinity tolerance and germination. Environmental and Experimental Botany. 206. 105191–105191. 18 indexed citations
6.
Mu, Jianglong, Hui Miao, Enzhou Liu, et al.. (2018). Enhanced light trapping and high charge transmission capacities of novel structures for efficient photoelectrochemical water splitting. Nanoscale. 10(25). 11881–11893. 68 indexed citations
7.
Zhang, Guowei, Hui Miao, Yongbo Wang, et al.. (2017). The fabrication and photoelectrocatalytic study of composite ZnSe/Au/TiO2nanotube films. Journal of Physics D Applied Physics. 50(18). 185102–185102. 2 indexed citations
8.
Xu, Lu, et al.. (2016). The interior gradient estimate of prescribed Hessian quotient curvature equations. manuscripta mathematica. 153(1-2). 159–171. 1 indexed citations
9.
Shi, Ming, Yifan Zhang, Leyuan Liu, et al.. (2015). MAP1S Protein Regulates the Phagocytosis of Bacteria and Toll-like Receptor (TLR) Signaling. Journal of Biological Chemistry. 291(3). 1243–1250. 20 indexed citations
10.
Miao, Hui, Xiao Hu, Dekai Zhang, et al.. (2012). Preparation of 3D Network Na2Ti2O4(OH)2 Nanotube Film and Study on Formation Mechanism of Nanotubes and Light Absorption Properties. Journal of Nanoscience and Nanotechnology. 12(10). 7927–7931. 4 indexed citations
11.
Jiang, Zhenyi, Yanming Lin, Ting Mei, et al.. (2012). First-principles study of the electronic and optical properties of the (Eu,N)-codoped anatase TiO2 photocatalyst. Computational Materials Science. 68. 234–237. 11 indexed citations
12.
Mathur, Ramkumar, Hyun-Ju Oh, Dekai Zhang, et al.. (2012). A Mouse Model of Salmonella Typhi Infection. Cell. 151(3). 590–602. 156 indexed citations
13.
Gao, Jianhua, et al.. (2011). Enhanced photoluminescence properties of (Y,Bi) BO3:RE3+ (RE=Eu, Tb) phosphors synthesized at low temperature. Journal of Rare Earths. 29(4). 335–339. 12 indexed citations
14.
Koblansky, A. Alicia, Jennifer M. Gaines, Tim Brown, et al.. (2009). Subversion of Innate Immune Responses by Brucella through the Targeted Degradation of the TLR Signaling Adapter, MAL. The Journal of Immunology. 184(2). 956–964. 100 indexed citations
15.
Han, Zhidong, et al.. (2006). Synthesis of BaFe12O19/MFe2O4 (M = Co, Mn) by sol-gel method. Rare Metals. 25(6). 462–465. 2 indexed citations
16.
Yarovinsky, Felix, Dekai Zhang, John F. Andersen, et al.. (2005). TLR11 Activation of Dendritic Cells by a Protozoan Profilin-Like Protein. Science. 308(5728). 1626–1629. 772 indexed citations breakdown →
17.
Pizzorno, Giuseppe, Deliang Cao, Janine J. Leffert, et al.. (2002). Homeostatic control of uridine and the role of uridine phosphorylase: a biological and clinical update. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1587(2-3). 133–144. 100 indexed citations
18.
Zhang, Dekai, Dandan Cao, Rosalind L. Russell, & Giuseppe Pizzorno. (2001). p53-dependent suppression of uridine phosphorylase gene expression through direct promoter interaction.. PubMed. 61(18). 6899–905. 13 indexed citations
19.
Russell, Rosalind L., Deliang Cao, Dekai Zhang, Robert E. Handschumacher, & Giuseppe Pizzorno. (2001). Uridine Phosphorylase Association with Vimentin. Journal of Biological Chemistry. 276(16). 13302–13307. 17 indexed citations
20.
Xue, Li, et al.. (2000). The transmembrane signal transduction in HEp-2 cells induced by bacterial adherence.. PubMed. 15(1). 20–3. 1 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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