Qinghua Shang

2.7k total citations · 1 hit paper
74 papers, 1.9k citations indexed

About

Qinghua Shang is a scholar working on Epidemiology, Complementary and alternative medicine and Paleontology. According to data from OpenAlex, Qinghua Shang has authored 74 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 14 papers in Complementary and alternative medicine and 12 papers in Paleontology. Recurrent topics in Qinghua Shang's work include Hepatitis B Virus Studies (13 papers), Liver Disease Diagnosis and Treatment (13 papers) and Paleontology and Evolutionary Biology (11 papers). Qinghua Shang is often cited by papers focused on Hepatitis B Virus Studies (13 papers), Liver Disease Diagnosis and Treatment (13 papers) and Paleontology and Evolutionary Biology (11 papers). Qinghua Shang collaborates with scholars based in China, United States and Canada. Qinghua Shang's co-authors include Hao Xu, Jin Yugan, Jing Zhang, Shu‐zhong Shen, Li Huang, Jianping Liu, Hitoshi YAMASHITA, Byung‐Cheul Shin, Byungmook Lim and Keji Chen and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Qinghua Shang

68 papers receiving 1.8k citations

Hit Papers

Toughening Double‐Network Hydrogels by Polyelectrolytes 2023 2026 2024 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Toughening Double‐Network Hydrogels by Polyelectrolytes
    2023 186 citations Qinghua Shang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinghua Shang China 20 436 381 302 279 241 74 1.9k
Bo Hui China 22 98 0.2× 728 1.9× 12 0.0× 565 2.0× 529 2.2× 97 2.3k
Wenhao Tang China 30 43 0.1× 419 1.1× 12 0.0× 54 0.2× 594 2.5× 138 2.3k
Liming Xu China 22 125 0.3× 41 0.1× 28 0.1× 102 0.4× 271 1.1× 106 1.6k
Chunjiang Wang China 18 80 0.2× 38 0.1× 12 0.0× 182 0.7× 217 0.9× 100 1.1k
R. P. Tripathi India 21 17 0.0× 172 0.5× 102 0.3× 100 0.4× 549 2.3× 76 1.7k
Yongshu Zhang China 28 58 0.1× 161 0.4× 11 0.0× 360 1.3× 1.6k 6.5× 73 2.9k
Di China 20 25 0.1× 66 0.2× 15 0.0× 138 0.5× 362 1.5× 386 1.9k
Fangfang Hu China 35 83 0.2× 2.8k 7.3× 10 0.0× 137 0.5× 536 2.2× 119 4.3k
Shan Shan China 20 35 0.1× 70 0.2× 14 0.0× 46 0.2× 231 1.0× 255 1.3k

Countries citing papers authored by Qinghua Shang

Since Specialization
Citations

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

Fields of papers citing papers by Qinghua Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghua Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghua Shang. A scholar is included among the top collaborators of Qinghua Shang 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 Qinghua Shang. Qinghua Shang 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.
Wu, Ying, Tao Pei, Qinghua Shang, et al.. (2025). Construction and evaluation of recombinant rabies virus encoding three copies codon-optimized G genes as inactivated rabies vaccine in dogs and cats. Veterinary Microbiology. 304. 110481–110481.
2.
Shang, Qinghua, et al.. (2025). S-Net: A novel shallow network for enhanced detail retention in medical image segmentation. Computer Methods and Programs in Biomedicine. 265. 108730–108730. 1 indexed citations
3.
Shang, Qinghua, et al.. (2025). FPGA-based adaptive rate-reduced visible light Ethernet communication system. Optics Continuum. 4(3). 522–522.
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Zhai, Guangyao, et al.. (2024). DMA‐Net: A dual branch encoder and multi‐scale cross attention fusion network for skin lesion segmentation. IET Image Processing. 18(14). 4531–4541. 1 indexed citations
7.
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Xu, Guanghui, Qinghua Shang, Wei Wang, et al.. (2023). A new long-snouted marine reptile from the Middle Triassic of China illuminates pachypleurosauroid evolution. Scientific Reports. 13(1). 16–16. 3 indexed citations
9.
Shang, Qinghua, et al.. (2022). Ancestral body plan and adaptive radiation of sauropterygian marine reptiles. iScience. 25(12). 105635–105635. 14 indexed citations
10.
Zhang, Wei, Yuanyuan Li, Qinghua Shang, et al.. (2022). Randomised controlled trial: effect of metformin add-on therapy on functional cure in entecavir-treated patients with chronic hepatitis B. Annals of Hepatology. 27(6). 100745–100745. 1 indexed citations
11.
Li, Jingen, Z Gao, Lijing Zhang, et al.. (2019). Qing-Xin-Jie-Yu Granule for patients with stable coronary artery disease (QUEST Trial): A multicenter, double-blinded, randomized trial. Complementary Therapies in Medicine. 47. 102209–102209. 12 indexed citations
12.
Xu, Hao, Zhuo Chen, Qinghua Shang, et al.. (2019). Asymmetric Dimethylarginine Predicts One-year Recurrent Cardiovascular Events: Potential Biomarker of “Toxin Syndrome” in Coronary Heart Disease. Chinese Journal of Integrative Medicine. 25(5). 327–333. 4 indexed citations
13.
Shi, Jijing, Juanjuan Zhao, Xin Zhang, et al.. (2017). Activated hepatic stellate cells impair NK cell anti-fibrosis capacity through a TGF-β-dependent emperipolesis in HBV cirrhotic patients. Scientific Reports. 7(1). 44544–44544. 54 indexed citations
14.
Luo, Jing, Qinghua Shang, Mei Han, Keji Chen, & Hao Xu. (2014). Traditional Chinese Medicine Injection for Angina Pectoris: An Overview of Systematic Reviews. The American Journal of Chinese Medicine. 42(1). 37–59. 15 indexed citations
15.
Li, Siming, Qinghua Shang, Keji Chen, & Hao Xu. (2014). GW25-e4351 Sodium Tanshinone IIA Sulfate Reduces Elevated Serum High Sensitivity C-Reactive Protein in Patients with Coronary Heart Disease: a Prospective Randomized Open-label Blinded End Point Trial. Journal of the American College of Cardiology. 64(16). C206–C206. 2 indexed citations
16.
Cheng, Long, Xiaohong Chen, Qinghua Shang, & Xiao‐Chun Wu. (2014). A new marine reptile from the Triassic of China, with a highly specialized feeding adaptation. Die Naturwissenschaften. 101(3). 251–259. 18 indexed citations
17.
Wang, Peng, Dongbin Li, Qinghua Shang, Zhen Chen, & Hualin Wang. (2013). Cure monitoring of epoxy resin via use of FBG. 60–63. 1 indexed citations
18.
Xu, Hao, Qinghua Shang, Hao Chen, et al.. (2013). ITIH4: A New Potential Biomarker of “Toxin Syndrome” in Coronary Heart Disease Patient Identified with Proteomic Method. Evidence-based Complementary and Alternative Medicine. 2013. 1–11. 17 indexed citations
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20.
Wang, Wei, et al.. (2009). Experimental evidence for eukaryotic fossil preservation: Onion skin cells in silica solution. Precambrian Research. 170(3-4). 223–230. 6 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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