Kangsheng Li

7.4k total citations · 1 hit paper
127 papers, 4.1k citations indexed

About

Kangsheng Li is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Kangsheng Li has authored 127 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Epidemiology, 40 papers in Molecular Biology and 29 papers in Immunology. Recurrent topics in Kangsheng Li's work include Influenza Virus Research Studies (30 papers), interferon and immune responses (18 papers) and Respiratory viral infections research (15 papers). Kangsheng Li is often cited by papers focused on Influenza Virus Research Studies (30 papers), interferon and immune responses (18 papers) and Respiratory viral infections research (15 papers). Kangsheng Li collaborates with scholars based in China, United States and Hong Kong. Kangsheng Li's co-authors include Yi Guan, Malik Peiris, Robert G. Webster, Honglin Chen, Gavin J. D. Smith, Weizhong Li, Gefei Wang, J. Wang, Jianping Dai and Shiyong Zhang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Kangsheng Li

122 papers receiving 4.0k citations

Hit Papers

H5N1 virus outbreak in migratory waterfowl 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kangsheng Li China 31 2.3k 1.3k 1.3k 824 684 127 4.1k
Adrianus C. M. Boon United States 35 2.4k 1.1× 1.4k 1.1× 403 0.3× 1.1k 1.4× 1.7k 2.5× 92 4.4k
Chung Yan Cheung Hong Kong 36 3.3k 1.4× 3.0k 2.3× 767 0.6× 1.1k 1.3× 1.9k 2.8× 64 6.6k
Michael C. W. Chan Hong Kong 39 2.6k 1.2× 2.6k 2.0× 537 0.4× 907 1.1× 1.3k 1.9× 97 5.7k
Ernst Peterhans Switzerland 49 1.7k 0.8× 1.4k 1.1× 2.6k 2.1× 1.2k 1.5× 1.7k 2.4× 165 6.6k
Matthias Schweizer Switzerland 38 840 0.4× 1.1k 0.9× 1.9k 1.5× 1.6k 1.9× 881 1.3× 123 5.3k
Erik A. Karlsson United States 30 1.8k 0.8× 1.4k 1.1× 415 0.3× 448 0.5× 665 1.0× 82 3.4k
Matthew S. Miller Canada 37 1.5k 0.7× 1.5k 1.2× 141 0.1× 1.4k 1.7× 1.1k 1.6× 134 5.1k
Nobuyuki Kobayashi Japan 44 1.2k 0.5× 621 0.5× 292 0.2× 2.0k 2.4× 1.5k 2.2× 315 7.1k
Jorge C. G. Blanco United States 39 2.3k 1.0× 1.2k 0.9× 205 0.2× 1.2k 1.5× 2.0k 2.9× 114 5.0k
Shun‐Hua Chen Taiwan 43 1.3k 0.6× 2.0k 1.6× 292 0.2× 1.3k 1.6× 1.1k 1.6× 121 5.6k

Countries citing papers authored by Kangsheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Kangsheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangsheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kangsheng Li. A scholar is included among the top collaborators of Kangsheng Li 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 Kangsheng Li. Kangsheng Li 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.
Li, Kangsheng, Ying Wang, Yan Yang, et al.. (2025). Temperature-Enhanced Purine Metabolism-Based Versatile SERS Platform for Rapid Clinical Pathogens Diagnosis and Drug-Resistant Assessment. Analytical Chemistry. 97(5). 2754–2761. 5 indexed citations
2.
Tian, Li, Jiangtao Sheng, Xiaoxuan Chen, et al.. (2023). A dynamic nomogram for predicting intraoperative brain bulge during decompressive craniectomy in patients with traumatic brain injury: a retrospective study. International Journal of Surgery. 110(2). 909–920. 5 indexed citations
3.
Ren, Zhihui, Jiangtao Sheng, Yuan Zhong, et al.. (2023). A dynamic nomogram for predicting unfavorable prognosis after aneurysmal subarachnoid hemorrhage. Annals of Clinical and Translational Neurology. 10(7). 1058–1071. 8 indexed citations
4.
Li, Tian, Shirong Cai, Fei Tian, et al.. (2023). Low serum calcium is a novel predictor of unfavorable prognosis after traumatic brain injury. Heliyon. 9(8). e18475–e18475. 3 indexed citations
5.
Du, Yongming, et al.. (2016). The Novel H7N9 Influenza A Virus NS1 Induces p53-Mediated Apoptosis of A549 Cells. Cellular Physiology and Biochemistry. 38(4). 1447–1458. 26 indexed citations
6.
Chen, Weiqiang, Jiangtao Sheng, Fenfei Gao, et al.. (2015). Tumor necrosis factor-α enhances voltage-gated Na+ currents in primary culture of mouse cortical neurons. Journal of Neuroinflammation. 12(1). 126–126. 39 indexed citations
7.
Xin, Gang, et al.. (2015). LPS-Primed Release of HMGB-1 from Cortical Astrocytes is Modulated Through PI3K/AKT Pathway. Cellular and Molecular Neurobiology. 36(1). 93–102. 13 indexed citations
8.
Xin, Gang, Yun Su, Kangsheng Li, et al.. (2014). Serum B-cell Activating Factor in Myecloperoxiase-antineutrophil Cytoplasmic Antibodies-associated Vasculitis. The American Journal of the Medical Sciences. 348(1). 25–29. 17 indexed citations
9.
Zeng, Jun, Gefei Wang, Weizhong Li, et al.. (2013). Induction of cytopathic effect and cytokines in coxsackievirus B3-infected murine astrocytes. Virology Journal. 10(1). 157–157. 15 indexed citations
10.
Li, Kangsheng. (2012). Advances in outbreak of influenza A pandemic caused by a novel type H1N1 in 2009.
11.
Zhang, Heng, Weizhong Li, Gefei Wang, et al.. (2011). The distinct binding properties between avian/human influenza A virus NS1 and Postsynaptic density protein-95 (PSD-95), and inhibition of nitric oxide production. Virology Journal. 8(1). 298–298. 17 indexed citations
12.
Li, Weizhong, Gefei Wang, Heng Zhang, et al.. (2010). Effects of NS1 variants of H5N1 influenza virus on interferon induction, TNFα response and p53 activity. Cellular and Molecular Immunology. 7(3). 235–242. 28 indexed citations
13.
Zhang, Dangui, Weizhong Li, Gefei Wang, et al.. (2010). Heterologous SH3-p85β inhibits influenza A virus replication. Virology Journal. 7(1). 170–170. 9 indexed citations
14.
Su, Yun, et al.. (2010). Predator exposure-induced cerebral interleukins are modulated heterogeneously by behavioral asymmetry. Immunology Letters. 135(1-2). 158–164. 3 indexed citations
15.
Zhang, Zengfeng, Jinxia Zhang, Kai Huang, et al.. (2009). Systemic infection of avian influenza A virus H5N1 subtype in humans. Human Pathology. 40(5). 735–739. 59 indexed citations
16.
Li, Kangsheng, Kai Huang, Zhen Feng, et al.. (2008). Prevalence of avian influenza virus receptor in human respiratory tract. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 35(12). 1387–1393. 2 indexed citations
17.
Shen, Yan‐Qin, et al.. (2005). In mice, production of plasma IL-1 and IL-6 in response to MPTP is related to behavioral lateralization. Brain Research. 1045(1-2). 31–37. 7 indexed citations
18.
Duan, Lian, et al.. (2004). Characterization of NS1 Gene of Influenza A Virus in Southern China. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 31(3). 237–243. 1 indexed citations
19.
Layé, Sophie, et al.. (2001). Physiological Significance of the Interleukin 1 Receptor Accessory Protein. NeuroImmunoModulation. 9(4). 225–230. 8 indexed citations
20.

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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