Bing Li

9.0k total citations · 1 hit paper
112 papers, 6.8k citations indexed

About

Bing Li is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Bing Li has authored 112 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 25 papers in Immunology and 18 papers in Epidemiology. Recurrent topics in Bing Li's work include Psoriasis: Treatment and Pathogenesis (12 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers) and T-cell and B-cell Immunology (6 papers). Bing Li is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (12 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers) and T-cell and B-cell Immunology (6 papers). Bing Li collaborates with scholars based in China, United States and Canada. Bing Li's co-authors include Hude Quan, Patrick Graham, Chantal Marie Couris, P Hider, Jean‐Marie Januel, Kiyohide Fushimi, Vijaya Sundararajan, Gang Wang, Erle Dang and Shuai Shao and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Bing Li

105 papers receiving 6.8k citations

Hit Papers

Updating and Validating the Charlson Comorbidity Index an... 2011 2026 2016 2021 2011 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Li China 31 1.2k 1.2k 925 850 841 112 6.8k
Lai‐Chu See Taiwan 57 1.4k 1.1× 1.7k 1.4× 893 1.0× 658 0.8× 771 0.9× 300 8.9k
Julio Pascual Spain 52 1.3k 1.0× 2.8k 2.4× 749 0.8× 922 1.1× 930 1.1× 319 9.3k
Kenneth Nugent United States 38 1.1k 0.9× 1.1k 0.9× 688 0.7× 340 0.4× 545 0.6× 446 6.7k
Anton Pottegård Denmark 46 1.3k 1.0× 1.3k 1.1× 725 0.8× 318 0.4× 923 1.1× 385 10.0k
Jérôme Rossert France 44 1.2k 1.0× 1.2k 1.0× 1.5k 1.7× 1.1k 1.3× 573 0.7× 107 11.4k
Barbara McKnight United States 50 1.5k 1.2× 1.5k 1.3× 1.3k 1.4× 343 0.4× 1.0k 1.2× 181 7.6k
Kai Zacharowski Germany 51 1.2k 0.9× 1.7k 1.5× 1.3k 1.4× 1.2k 1.4× 418 0.5× 456 9.5k
Christian Combe France 53 1.2k 0.9× 1.4k 1.2× 802 0.9× 740 0.9× 352 0.4× 338 10.3k
Yon Su Kim South Korea 45 856 0.7× 1.4k 1.2× 1.2k 1.3× 959 1.1× 366 0.4× 482 8.6k
Mette Nørgaard Denmark 53 1.6k 1.3× 2.2k 1.9× 723 0.8× 600 0.7× 2.1k 2.5× 341 9.5k

Countries citing papers authored by Bing Li

Since Specialization
Citations

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

Fields of papers citing papers by Bing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Li. A scholar is included among the top collaborators of Bing 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 Bing Li. Bing 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
2.
Li, Bing, et al.. (2024). Detection of extracellular antibiotic resistance genes in river water: Application of ultrafiltration-magnetic beads method. Environmental Research. 263(Pt 3). 120259–120259. 3 indexed citations
3.
Zhu, Yuexin, et al.. (2024). Plasma Zinc Levels in Patients with Diabetic Nephropathy: Is there a Relationship with NLRP3 Inflammasome Activation and Renal Prognosis?. Biological Trace Element Research. 203(5). 2550–2560. 1 indexed citations
4.
Li, Bing, Weixiang Liu, Wei Dan, et al.. (2024). Deep learning-based detection of primary bone tumors around the knee joint on radiographs: a multicenter study. Quantitative Imaging in Medicine and Surgery. 14(8). 5420–5433. 3 indexed citations
5.
Xu, Qiao, Hongchuan Xin, Rui Wu, et al.. (2023). 495P Intrinsic STING of CD8+T cells regulates self-metabolic reprogramming and exerts anti-tumor effects. Annals of Oncology. 34. S1656–S1656. 1 indexed citations
6.
Lin, Jie, Bing Li, Kang Ye, et al.. (2023). DACH1 attenuated PA-induced renal tubular injury through TLR4/MyD88/NF-κB and TGF-β/Smad signalling pathway. Journal of Endocrinological Investigation. 47(6). 1531–1544. 3 indexed citations
7.
Lin, Yiting, Ke Xue, Qingyang Li, et al.. (2021). Cyclin-Dependent Kinase 7 Promotes Th17/Th1 Cell Differentiation in Psoriasis by Modulating Glycolytic Metabolism. Journal of Investigative Dermatology. 141(11). 2656–2667.e11. 29 indexed citations
8.
Lin, Yiting, Weigang Zhang, Bing Li, & Gang Wang. (2021). Keratin 17 in psoriasis: Current understanding and future perspectives. Seminars in Cell and Developmental Biology. 128. 112–119. 32 indexed citations
9.
Luo, Jie, et al.. (2020). Detection of functional connectivity in the brain during visuo‐guided grip force tracking tasks: A functional near‐infrared spectroscopy study. Journal of Neuroscience Research. 99(4). 1108–1119. 8 indexed citations
10.
Li, Bing, Jie Lei, Luting Yang, et al.. (2019). Dysregulation of Akt-FOXO1 Pathway Leads to Dysfunction of Regulatory T Cells in Patients with Psoriasis. Journal of Investigative Dermatology. 139(10). 2098–2107. 22 indexed citations
11.
Shao, Shuai, et al.. (2016). 501 Increased lipocalin-2 contributes to the pathogenesis of psoriasis by modulating neutrophil chemotaxis and cytokine secretion. Journal of Investigative Dermatology. 136(5). S88–S88. 2 indexed citations
12.
Chen, Junfeng, Bing Li, Ming Liu, et al.. (2015). The effects of Xingnaojing injection on Caveolin-1 in cortex of brain after global ischemia-reperfusion. Zhonghua jizhen yixue zazhi. 24(5). 501–505. 1 indexed citations
13.
14.
Han, Changxu, Erle Dang, Liang Jin, et al.. (2014). Effects of narrow-band ultraviolet B on the expression of keratin 17 in keratinocytes. Chinese Journal of Dermatology. 47(4). 271–274. 1 indexed citations
15.
Fu, Feng, Bing Li, Meng Dai, et al.. (2014). Use of Electrical Impedance Tomography to Monitor Regional Cerebral Edema during Clinical Dehydration Treatment. PLoS ONE. 9(12). e113202–e113202. 57 indexed citations
16.
Li, Bing. (2013). Protective effects of ulinastatin on mice with traumatic brain injury. 1 indexed citations
17.
Yang, Jihong, et al.. (2012). Development of Neutralizing Monoclonal Antibodies Against VP4 of Rotavirus CC0812-1. Hybridoma. 31(4). 279–283. 5 indexed citations
18.
Quan, Hude, Bing Li, Chantal Marie Couris, et al.. (2011). Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries. American Journal of Epidemiology. 173(6). 676–682. 4293 indexed citations breakdown →
19.
Li, Xia, Li Wang, Jianwen Gu, et al.. (2010). Up-regulation of EphA2 and down-regulation of EphrinA1 are associated with the aggressive phenotype and poor prognosis of malignant glioma. Tumor Biology. 31(5). 477–488. 36 indexed citations
20.
Guo, Qingdong, Hui Dong, Xiaonan Liu, et al.. (2009). A20 is overexpressed in glioma cells and may serve as a potential therapeutic target. Expert Opinion on Therapeutic Targets. 13(7). 733–741. 30 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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