Bin Li

11.4k total citations · 1 hit paper
421 papers, 7.9k citations indexed

About

Bin Li is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Bin Li has authored 421 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Surgery, 135 papers in Pulmonary and Respiratory Medicine and 89 papers in Oncology. Recurrent topics in Bin Li's work include Esophageal Cancer Research and Treatment (49 papers), Gastric Cancer Management and Outcomes (39 papers) and Lung Cancer Diagnosis and Treatment (34 papers). Bin Li is often cited by papers focused on Esophageal Cancer Research and Treatment (49 papers), Gastric Cancer Management and Outcomes (39 papers) and Lung Cancer Diagnosis and Treatment (34 papers). Bin Li collaborates with scholars based in China, United States and United Kingdom. Bin Li's co-authors include Ho Lam Chan, Pingping Chen, Mark I. Greene, Wayne W. Hancock, Eric N. Olson, Andrew D. Wells, Liqing Wang, Engin Özkaynak, Ran Tao and Edwin F. de Zoeten and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Bin Li

384 papers receiving 7.8k citations

Hit Papers

Deacetylase inhibition pr... 2007 2026 2013 2019 2007 250 500 750
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. Deacetylase inhibition promotes the generation and function of regulatory T cells
    2007 754 citations Bin Li et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bin Li 2.4k 2.0k 1.8k 1.7k 1.6k 421 7.9k
Edmond Sabo 2.6k 1.1× 2.1k 1.0× 2.0k 1.1× 1.7k 1.0× 1.2k 0.7× 267 9.2k
Yutaka Takahashi 3.1k 1.3× 2.0k 1.0× 1.1k 0.6× 1.6k 1.0× 908 0.6× 305 8.1k
Koji Arihiro 1.2k 0.5× 2.1k 1.0× 1.5k 0.9× 1.8k 1.1× 932 0.6× 350 6.7k
Hideaki Shimada 2.5k 1.0× 2.7k 1.3× 2.5k 1.4× 2.9k 1.7× 1.0k 0.6× 382 8.3k
Helmut Friess 1.8k 0.8× 3.1k 1.6× 2.5k 1.4× 1.0k 0.6× 909 0.6× 253 7.6k
Herman Yee 3.0k 1.3× 2.1k 1.1× 1.5k 0.8× 1.1k 0.6× 1.5k 0.9× 160 9.4k
Hans‐Anton Lehr 3.5k 1.5× 2.6k 1.3× 2.1k 1.2× 1.3k 0.8× 2.8k 1.7× 165 11.5k
Maximilian J. Waldner 3.0k 1.3× 3.1k 1.5× 1.1k 0.6× 1.7k 1.0× 3.1k 1.9× 143 8.6k
Danny Jonigk 1.9k 0.8× 1.4k 0.7× 1.3k 0.7× 2.7k 1.6× 1.1k 0.7× 298 9.2k
Hideki Fujii 1.5k 0.6× 2.3k 1.1× 1.4k 0.8× 1.0k 0.6× 1.1k 0.7× 180 6.3k

Countries citing papers authored by Bin Li

Since Specialization
Citations

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

Fields of papers citing papers by Bin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Li. A scholar is included among the top collaborators of Bin 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 Bin Li. Bin 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.
Yang, Yuxin, Hong Zhang, Boyao Yu, et al.. (2025). Risk factors and prediction of intensive care unit readmission after oesophagectomy for cancer. European Journal of Cardio-Thoracic Surgery. 67(4).
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Li, Bin, Haiyue Liu, Devendra Mishra, et al.. (2024). The association between blood metals and cardiovascular diseases: findings from National Health and Nutrition Examination Survey 2011–2020. Frontiers in Cardiovascular Medicine. 11. 1479665–1479665. 2 indexed citations
5.
Chen, Ying, Yonghong Zhang, Hui Wu, et al.. (2024). Risk assessment and prediction of nosocomial infections based on surveillance data using machine learning methods. BMC Public Health. 24(1). 1780–1780. 3 indexed citations
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Peng, Jie, Xiaoyu Li, Bin Li, et al.. (2024). Imaging predictors of hemorrhagic progression of a contusion after traumatic brain injury: a systematic review and meta-analysis. Scientific Reports. 14(1). 5961–5961. 4 indexed citations
8.
Zhao, Ye, et al.. (2023). Genomic and immunogenomic analysis of three prognostic signature genes in LUAD. BMC Bioinformatics. 24(1). 2 indexed citations
9.
Zhou, Xia, et al.. (2023). Neoadjuvant immune checkpoint inhibitor therapy and chemotherapy improve pulmonary ventilation and diffusion function in patients with lung cancer. Journal of Zhejiang University (Medical Sciences). 52(5). 588–593.
10.
Zhang, Yiliang, Bin Li, Ting Ye, et al.. (2023). Machine learning to predict occult metastatic lymph nodes along the recurrent laryngeal nerves in thoracic esophageal squamous cell carcinoma. BMC Cancer. 23(1). 197–197. 4 indexed citations
11.
Yang, Mengdi, Dan Li, Zhiyuan Jiang, et al.. (2022). TGF-β-Induced FLRT3 Attenuation Is Essential for Cancer-Associated Fibroblast–Mediated Epithelial–Mesenchymal Transition in Colorectal Cancer. Molecular Cancer Research. 20(8). 1247–1259. 20 indexed citations
12.
Liu, Xisheng, Xiao Peng, Qianlan Yao, et al.. (2021). Impaired AGO2/miR-185-3p/NRP1 axis promotes colorectal cancer metastasis. Cell Death and Disease. 12(4). 390–390. 30 indexed citations
13.
Li, Hang, Ting Ye, Bin Li, et al.. (2020). Is 99mTc bone scintigraphy necessary in the preoperative workup for patients with cT1N0 subsolid lung cancer? A prospective multicenter cohort study. Thoracic Cancer. 12(4). 415–419. 2 indexed citations
14.
Li, Shulong, Bin Li, Liyuan Chen, et al.. (2019). Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features. Physics in Medicine and Biology. 64(17). 175012–175012. 61 indexed citations
15.
Fang, Sijie, Yazhuo Huang, Sisi Zhong, et al.. (2017). Regulation of Orbital Fibrosis and Adipogenesis by Pathogenic Th17 Cells in Graves Orbitopathy. The Journal of Clinical Endocrinology & Metabolism. 102(11). 4273–4283. 69 indexed citations
16.
Zhang, Dong, et al.. (2016). miR-155 regulates high glucose-induced cardiac fibrosis via the TGF-β signaling pathway. Molecular BioSystems. 13(1). 215–224. 53 indexed citations
17.
Tang, Bo, Fang Tang, Zheng Wang, et al.. (2016). Upregulation of Akt/NF-κB-regulated inflammation and Akt/Bad-related apoptosis signaling pathway involved in hepatic carcinoma process: suppression by carnosic acid nanoparticle. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Wang, Rui, Yuan Li, Haichuan Hu, et al.. (2014). FGFR1/3 Tyrosine Kinase Fusions Define a Unique Molecular Subtype of Non–Small Cell Lung Cancer. Clinical Cancer Research. 20(15). 4107–4114. 116 indexed citations
19.
Li, Bin, et al.. (2013). Membrane versus Soluble Isoforms of TNF-α Exert Opposing Effects on Tumor Growth and Survival of Tumor-Associated Myeloid Cells. Cancer Research. 73(13). 3938–3950. 45 indexed citations
20.
Li, Bin, Alicia Vincent, Justin Cates, et al.. (2008). Low Levels of Tumor Necrosis Factor α Increase Tumor Growth by Inducing an Endothelial Phenotype of Monocytes Recruited to the Tumor Site. Cancer Research. 69(1). 338–348. 94 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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