Xiaoqiang Shang

429 total citations · 1 hit paper
9 papers, 351 citations indexed

About

Xiaoqiang Shang is a scholar working on Hematology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaoqiang Shang has authored 9 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 2 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaoqiang Shang's work include Hemostasis and retained surgical items (8 papers), Hemophilia Treatment and Research (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). Xiaoqiang Shang is often cited by papers focused on Hemostasis and retained surgical items (8 papers), Hemophilia Treatment and Research (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). Xiaoqiang Shang collaborates with scholars based in China, Ireland and United States. Xiaoqiang Shang's co-authors include Jie Fan, Liping Xiao, Lisha Yu, Hao Chen, Yihan Zhu, Min He, Fangjun Wang, Kai Liu, Luca Boselli and Valentina Castagnola and has published in prestigious journals such as Nature Communications, Advanced Science and RSC Advances.

In The Last Decade

Xiaoqiang Shang

8 papers receiving 348 citations

Hit Papers

A tightly-bonded and flexible mesoporous zeolite-cotton h... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoqiang Shang China 6 239 122 115 77 52 9 351
Guangqian Lan China 12 169 0.7× 132 1.1× 189 1.6× 133 1.7× 61 1.2× 19 380
Joyann A. Marks United States 6 451 1.9× 310 2.5× 205 1.8× 180 2.3× 70 1.3× 7 673
Yunxiang Weng China 10 187 0.8× 151 1.2× 179 1.6× 155 2.0× 105 2.0× 25 463
Weihe Yao China 11 284 1.2× 231 1.9× 303 2.6× 203 2.6× 214 4.1× 18 688
Sheng Ding China 12 164 0.7× 108 0.9× 171 1.5× 124 1.6× 127 2.4× 22 559
Sayyeda M. Hasan United States 12 119 0.5× 101 0.8× 139 1.2× 98 1.3× 120 2.3× 20 506
Todd L. Landsman United States 6 113 0.5× 101 0.8× 102 0.9× 92 1.2× 76 1.5× 7 366
Zhuyan Jiang China 5 156 0.7× 122 1.0× 175 1.5× 133 1.7× 81 1.6× 6 377
Seyedhosein Jarolmasjed Iran 9 60 0.3× 91 0.7× 141 1.2× 40 0.5× 142 2.7× 29 361
Yanbo Zeng China 7 55 0.2× 103 0.8× 151 1.3× 127 1.6× 56 1.1× 10 332

Countries citing papers authored by Xiaoqiang Shang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqiang Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqiang Shang

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

All Works

9 of 9 papers shown
1.
Shi, Chaojie, Liping Xiao, Xiaoqiang Shang, et al.. (2025). Reversible High‐Affinity Binding of Coagulation Factor Xa to Zeolites Induces Accelerated Blood Coagulation. Advanced Science. 12(22). e2417099–e2417099. 1 indexed citations
2.
Shang, Xiaoqiang, Valentina Castagnola, Kai Liu, et al.. (2021). Unusual zymogen activation patterns in the protein corona of Ca-zeolites. Nature Catalysis. 4(7). 607–614. 69 indexed citations
3.
Yu, Lisha, Bin Yu, Hao Chen, et al.. (2021). Highly efficient artificial blood coagulation shortcut confined on Ca-zeolite surface. Nano Research. 14(9). 3309–3318. 20 indexed citations
4.
Yu, Lisha, Xiaoqiang Shang, Hao Chen, et al.. (2019). A tightly-bonded and flexible mesoporous zeolite-cotton hybrid hemostat. Nature Communications. 10(1). 1932–1932. 207 indexed citations breakdown →
5.
Shang, Xiaoqiang, Yunlong Li, Hao Chen, et al.. (2019). Zeolite-fibrin clot composite as a haemostatic agent for haemophilia A. Journal of Biomaterials Applications. 33(10). 1427–1433.
6.
Shang, Xiaoqiang, et al.. (2019). Safety evaluation of a low-heat producing zeolite granular hemostatic dressing in a rabbit femoral artery hemorrhage model. Journal of Biomaterials Applications. 34(7). 988–997. 11 indexed citations
7.
Shang, Xiaoqiang, et al.. (2015). The bi-functional roles of Ca-Y zeolite in the treatment of ethanol–HCl induced gastric ulcer using a mice model. RSC Advances. 6(5). 3458–3461. 1 indexed citations
8.
Li, Yunlong, Xiaofeng Liao, Pu Liu, et al.. (2014). Surface group mediates the adsorption of in situ generated thrombin and its interaction with anti-thrombin in the protein corona of SBA-15. RSC Advances. 4(42). 21753–21753. 5 indexed citations
9.
Li, Yunlong, Xiaofeng Liao, Xiaoxi Zhang, et al.. (2014). In situ generated thrombin in the protein corona of zeolites: Relevance of the functional proteins to its biological impact. Nano Research. 7(10). 1457–1465. 37 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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