Kun Shang

1.7k total citations
74 papers, 1.3k citations indexed

About

Kun Shang is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kun Shang has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kun Shang's work include Nanoplatforms for cancer theranostics (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Epilepsy research and treatment (5 papers). Kun Shang is often cited by papers focused on Nanoplatforms for cancer theranostics (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Epilepsy research and treatment (5 papers). Kun Shang collaborates with scholars based in China, United States and France. Kun Shang's co-authors include Bangwei Cao, Jinyu Chen, Kunsheng Zhang, Chao Ke, Zhichao Pei, Yan Zhuang, Yuxin Pei, Bin-Fei Zhang, Pengfei Wang and Qing Wang and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Kun Shang

68 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Shang China 20 420 176 162 148 145 74 1.3k
Adriano de Paula Sabino Brazil 19 272 0.6× 89 0.5× 111 0.7× 65 0.4× 119 0.8× 93 973
Haifeng Huang China 20 387 0.9× 85 0.5× 134 0.8× 72 0.5× 110 0.8× 68 1.1k
Yuting Wang China 18 462 1.1× 135 0.8× 99 0.6× 124 0.8× 81 0.6× 81 1.2k
Yanhua Wang China 25 693 1.6× 162 0.9× 200 1.2× 145 1.0× 144 1.0× 76 1.6k
Qiang Zhou China 23 490 1.2× 92 0.5× 233 1.4× 59 0.4× 129 0.9× 80 1.4k
Faisal Aziz United States 18 791 1.9× 121 0.7× 272 1.7× 323 2.2× 261 1.8× 42 1.6k
Weiguo Wang China 23 334 0.8× 135 0.8× 85 0.5× 47 0.3× 650 4.5× 138 1.7k
Xiaolu Li China 13 643 1.5× 103 0.6× 308 1.9× 148 1.0× 153 1.1× 50 1.3k
Woo‐Chan Son South Korea 20 446 1.1× 139 0.8× 156 1.0× 91 0.6× 130 0.9× 100 1.3k
Jun Luo China 20 714 1.7× 184 1.0× 230 1.4× 147 1.0× 151 1.0× 90 1.5k

Countries citing papers authored by Kun Shang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Shang. A scholar is included among the top collaborators of Kun 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 Kun Shang. Kun 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.
Cui, Minhui, et al.. (2025). Nanotheranostics with Radionuclides for Cancer Diagnosis and Therapy. Advanced Functional Materials. 35(23). 6 indexed citations
2.
Zhang, Xiangling, Dongsheng Tang, Haihua Xiao, et al.. (2025). Activating the cGAS-STING Pathway by Manganese-Based Nanoparticles Combined with Platinum-Based Nanoparticles for Enhanced Ovarian Cancer Immunotherapy. ACS Nano. 19(4). 4346–4365. 10 indexed citations
3.
Shang, Kun, Yinghua Lv, Yibo Yang, et al.. (2025). “Dual sweet” supramolecular glycosyl-nanoproteins based on carbohydrate-protein interaction for targeted drug delivery in vivo. Chinese Chemical Letters. 111798–111798.
4.
Shang, Kun, Ya‐Ling He, Lei Hua, et al.. (2025). Rhodamine fluorescence ratio probe modified with thiazole for the detection of Fe3+. Journal of Molecular Structure. 1352. 144540–144540.
5.
Bai, Shijie, et al.. (2024). Genome analysis of Salinimicrobium sp. 3283s, a deep-sea bacterium isolated from the sediments of South China Sea, China. Marine Genomics. 76. 101125–101125. 1 indexed citations
6.
Gao, Xiaopan, Bei Wang, Kaixiang Zhu, et al.. (2024). The EV71 2A protease occupies the central cleft of SETD3 and disrupts SETD3-actin interaction. Nature Communications. 15(1). 4176–4176. 3 indexed citations
7.
Shang, Kun, Yueran Ma, Min Zhou, et al.. (2023). Immune-enhancing activity of polysaccharides and flavonoids derived from Phellinus igniarius YASH1. Frontiers in Pharmacology. 14. 1124607–1124607. 14 indexed citations
8.
Qiu, Yuanhao, Kun Shang, Ningning Xu, et al.. (2023). Clearance of intracellular bacterial infections by hyaluronic acid-based ROS responsive drug delivery micelles. International Journal of Biological Macromolecules. 245. 125506–125506. 8 indexed citations
9.
Wang, Jiawei, Kun Shang, Yuan Zhao, et al.. (2022). Complete genome sequence of piezotolerant Stutzerimonas kunmingensis 7850S isolated from the sediment of the Mariana Trench. Marine Genomics. 66. 100996–100996. 1 indexed citations
10.
Sun, Ke, Dongju Yang, Xueyuan Wang, et al.. (2021). Voxel-based morphometric MRI post-processing and PET/MRI co-registration reveal subtle abnormalities in cingulate epilepsy. Epilepsy Research. 171. 106568–106568. 8 indexed citations
12.
Shan, Yi, Bixiao Cui, Kun Shang, et al.. (2020). Altered coupling between resting‐state glucose metabolism and functional activity in epilepsy. Annals of Clinical and Translational Neurology. 7(10). 1831–1842. 19 indexed citations
13.
Zheng, Xixi, Juan Liu, Xiao Li, et al.. (2020). Angiogenesis is promoted by exosomal DPP4 derived from 5-fluorouracil-resistant colon cancer cells. Cancer Letters. 497. 190–201. 41 indexed citations
14.
Wang, Pengfei, Jiahao Li, Chen Fei, et al.. (2020). Deep Vein Thrombosis in the Uninjured Limb in Patients with Lower Extremity Fractures: A Retrospective Study. BioMed Research International. 2020(1). 1647617–1647617. 5 indexed citations
15.
Wang, Yuan, Jing Lin, Qi Wang, et al.. (2019). Clerodane diterpenoids with potential anti-inflammatory activity from the leaves and twigs of Callicarpa cathayana. Chinese Journal of Natural Medicines. 17(12). 953–962. 21 indexed citations
16.
Chen, Jinyu, Kunsheng Zhang, Youling L. Xiong, et al.. (2019). Site-specific incorporation of sodium tripolyphosphate into myofibrillar protein from mantis shrimp (Oratosquilla oratoria) promotes protein crosslinking and gel network formation. Food Chemistry. 312. 126113–126113. 81 indexed citations
17.
Shang, Kun, Xiaotong Fan, Bixiao Cui, et al.. (2018). Clinical Value of Hybrid TOF-PET/MR Imaging–Based Multiparametric Imaging in Localizing Seizure Focus in Patients with MRI-Negative Temporal Lobe Epilepsy. American Journal of Neuroradiology. 39(10). 1791–1798. 32 indexed citations
18.
Wu, Jun, Junxian Yu, Jing Wang, et al.. (2018). Astragalus polysaccharide enhanced antitumor effects of Apatinib in gastric cancer AGS cells by inhibiting AKT signalling pathway. Biomedicine & Pharmacotherapy. 100. 176–183. 62 indexed citations
19.
Fan, Xiaotong, Hao Yan, Yi Shan, et al.. (2016). Distinctive Structural and Effective Connectivity Changes of Semantic Cognition Network across Left and Right Mesial Temporal Lobe Epilepsy Patients. Neural Plasticity. 2016. 1–11. 8 indexed citations
20.
Ding, Hao, et al.. (2009). A haemodynamic model for heart–mural coronary artery–myocardial bridge. Journal of Medical Engineering & Technology. 34(1). 29–34. 2 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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