Z. X. Jiang

786 total citations
47 papers, 476 citations indexed

About

Z. X. Jiang is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Molecular Biology. According to data from OpenAlex, Z. X. Jiang has authored 47 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 22 papers in Computational Mechanics and 13 papers in Molecular Biology. Recurrent topics in Z. X. Jiang's work include Ion-surface interactions and analysis (20 papers), Integrated Circuits and Semiconductor Failure Analysis (18 papers) and Diamond and Carbon-based Materials Research (8 papers). Z. X. Jiang is often cited by papers focused on Ion-surface interactions and analysis (20 papers), Integrated Circuits and Semiconductor Failure Analysis (18 papers) and Diamond and Carbon-based Materials Research (8 papers). Z. X. Jiang collaborates with scholars based in China, Netherlands and United Kingdom. Z. X. Jiang's co-authors include Paul F. A. Alkemade, Xia Li, Yun Xiao, I.T. McKinnie, Gaoming Liao, Xuelei Ma, Juan Huang, Liwen Xu, Min Yan and Yanyan Ping and has published in prestigious journals such as Nature, Applied Physics Letters and Journal of Agricultural and Food Chemistry.

In The Last Decade

Z. X. Jiang

44 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Z. X. Jiang China 13 255 241 156 76 69 47 476
Michael P. Lake United States 7 135 0.5× 79 0.3× 361 2.3× 52 0.7× 19 0.3× 8 468
Young Won Kim South Korea 12 105 0.4× 60 0.2× 28 0.2× 104 1.4× 23 0.3× 19 433
S. Matsuo Japan 14 68 0.3× 34 0.1× 577 3.7× 43 0.6× 28 0.4× 33 917
Lihao Yang China 13 197 0.8× 52 0.2× 106 0.7× 32 0.4× 18 0.3× 38 466
I. A. Morozov Russia 14 220 0.9× 18 0.1× 64 0.4× 75 1.0× 22 0.3× 86 499
Lennart Carlsson Sweden 10 166 0.7× 111 0.5× 202 1.3× 115 1.5× 29 0.4× 29 606
Stefan H. Holm Sweden 9 147 0.6× 37 0.2× 26 0.2× 37 0.5× 25 0.4× 18 614
Wouter Sempels Belgium 8 225 0.9× 80 0.3× 56 0.4× 139 1.8× 35 0.5× 10 566
Hisham Mohamed United States 6 68 0.3× 28 0.1× 21 0.1× 91 1.2× 106 1.5× 17 464
Erik Westin Sweden 12 38 0.1× 34 0.1× 64 0.4× 201 2.6× 35 0.5× 33 461

Countries citing papers authored by Z. X. Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Z. X. Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Z. X. Jiang. 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 Z. X. Jiang. The network helps show where Z. X. Jiang may publish in the future.

Co-authorship network of co-authors of Z. X. Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Z. X. Jiang. A scholar is included among the top collaborators of Z. X. Jiang 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 Z. X. Jiang. Z. X. Jiang 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.
Yu, Haijun, Zhaoli Wang, Bing Yang, et al.. (2025). Formation mechanism analysis and the prediction for compound flood arising from rainstorm and tide using explainable artificial intelligence. Journal of Environmental Management. 388. 125858–125858.
2.
Li, Guangqi, Yuting Jiang, Huan Tong, et al.. (2025). Sciatic nerve stimulation enhances NK cell cytotoxicity through dopamine signaling and synergizes immunotherapy in triple-negative breast cancer. Drug Resistance Updates. 79. 101212–101212. 6 indexed citations
3.
Bi, Decheng, Jinfeng Huang, Lijun Yao, et al.. (2025). Genipin crosslinked sodium caseinate-chitosan oligosaccharide nanoparticles for optimizing β-carotene stability and bioavailability. International Journal of Biological Macromolecules. 297. 139626–139626. 2 indexed citations
4.
Zhang, Shengxin, et al.. (2025). Tumor microbiome: roles in tumor initiation, progression, and therapy. Molecular Biomedicine. 6(1). 9–9. 10 indexed citations
5.
Jiang, Z. X., Hong Qian, Zhijie Xu, et al.. (2024). Revealing the crucial roles of suppressive immune microenvironment in cardiac myxoma progression. Signal Transduction and Targeted Therapy. 9(1). 193–193. 4 indexed citations
6.
Han, Xuejiao, Yuan Cheng, Z. X. Jiang, Aqu Alu, & Xuelei Ma. (2024). Honokiol Exhibits Anti-Tumor Effects in Breast Cancer by Modulating the miR-148a-5p-CYP1B1 Axis. The American Journal of Chinese Medicine. 52(6). 1843–1861. 3 indexed citations
7.
Yu, Xiang, Miaomiao Tian, Juan Huang, et al.. (2023). LMP2-mRNA lipid nanoparticle sensitizes EBV-related tumors to anti-PD-1 therapy by reversing T cell exhaustion. Journal of Nanobiotechnology. 21(1). 324–324. 18 indexed citations
8.
9.
Liao, Gaoming, Yiran Yang, Z. X. Jiang, et al.. (2022). Applicability of Anticancer Drugs for the Triple-Negative Breast Cancer Based on Homologous Recombination Repair Deficiency. Frontiers in Cell and Developmental Biology. 10. 845950–845950. 4 indexed citations
10.
Yan, Min, Jing Hu, Huating Yuan, et al.. (2021). Dynamic regulatory networks of T cell trajectory dissect transcriptional control of T cell state transition. Molecular Therapy — Nucleic Acids. 26. 1115–1129. 12 indexed citations
11.
Jiang, Z. X., Yao Zhou, & Juan Huang. (2021). A Combination of Biomarkers Predict Response to Immune Checkpoint Blockade Therapy in Non-Small Cell Lung Cancer. Frontiers in Immunology. 12. 813331–813331. 8 indexed citations
12.
Jiang, Z. X., Gaoming Liao, Yiran Yang, et al.. (2021). Analysis of Mutations and Dysregulated Pathways Unravels Carcinogenic Effect and Clinical Actionability of Mutational Processes. Frontiers in Cell and Developmental Biology. 9. 768981–768981. 1 indexed citations
13.
14.
Yan, Min, Jing Hu, Yanyan Ping, et al.. (2021). Single-Cell Transcriptomic Analysis Reveals a Tumor-Reactive T Cell Signature Associated With Clinical Outcome and Immunotherapy Response In Melanoma. Frontiers in Immunology. 12. 758288–758288. 23 indexed citations
15.
Zhang, Yajing, Yiran Yang, Wei Liu, et al.. (2020). Clonal tumor mutations in homologous recombination genes predict favorable clinical outcome in ovarian cancer treated with platinum-based chemotherapy. Gynecologic Oncology. 158(1). 66–76. 12 indexed citations
16.
Wang, Jimei, Guofu Zhang, Wenhao Zhou, Z. X. Jiang, & Xiaomei Shao. (2014). Changes in Amplitude-integrated Electroencephalograms in Piglets During Selective Mild Head Cooling After Hypoxia-ischemia. Pediatrics & Neonatology. 55(4). 282–290. 3 indexed citations
17.
Jiang, Z. X., et al.. (2008). Toward accurate characterization of nitrogen depth profiles in ultrathin oxynitride films. Surface and Interface Analysis. 40(10). 1397–1401. 1 indexed citations
18.
Jiang, Z. X., et al.. (2000). AFM and AES studies on the electron-beam-irradiation-induced modifications in superficial and buried SiO2 layers. Surface and Interface Analysis. 29(4). 245–248. 1 indexed citations
19.
Hedges, R.E.M., Z. X. Jiang, Christopher Bronk Ramsey, et al.. (1996). Imaging of radiocarbon-labelled tracer molecules in neural tissue using accelerator mass spectrometry. Nature. 383(6603). 823–826. 12 indexed citations
20.
Jiang, Z. X., et al.. (1993). Laser Characteristics of Chromium Doped Forsterite with Ti:Sapphire Laser Excitation. Journal of Modern Optics. 40(7). 1411–1419. 4 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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