Bin Li

16.4k total citations · 6 hit papers
394 papers, 10.3k citations indexed

About

Bin Li is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Bin Li has authored 394 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 248 papers in Molecular Biology, 134 papers in Cancer Research and 81 papers in Oncology. Recurrent topics in Bin Li's work include Cancer-related molecular mechanisms research (70 papers), RNA modifications and cancer (57 papers) and MicroRNA in disease regulation (52 papers). Bin Li is often cited by papers focused on Cancer-related molecular mechanisms research (70 papers), RNA modifications and cancer (57 papers) and MicroRNA in disease regulation (52 papers). Bin Li collaborates with scholars based in China, United States and Hong Kong. Bin Li's co-authors include Wen Xu, Qing‐Yu He, Yan He, Jing Yang, Stanley Fields, Miao Sun, Kui Sheng Chen, Yuan‐Han Yang, Can‐Can Zheng and Hang Fai Kwok and has published in prestigious journals such as Nature, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Bin Li

377 papers receiving 10.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Targeting PI3K/Akt signal transduction for cancer therapy

2021 1.0k citations Yan He, Jing Yang et al. Signal Transduction and Targeted Therapy profile →
Broad histone H3K4me3 domains in mouse oocytes modulate maternal-to-zygotic transition

2016 450 citations Bin Li et al. profile →
Advances in targeted therapy for esophageal cancer

2020 324 citations Yuan‐Han Yang, Wen Xu et al. Signal Transduction and Targeted Therapy profile →
Molecular mechanisms of chemo‐ and radiotherapy resistance and the potential implications for cancer treatment

2021 231 citations Yaping Liu, Can‐Can Zheng et al. SHILAP Revista de lepidopterología profile →
New insights into the interplay between long non‐coding RNAs and RNA‐binding proteins in cancer

2022 181 citations Ziting Yao, Yuan‐Han Yang et al. profile →
Lysine 2-hydroxyisobutyrylation of NAT10 promotes cancer metastasis in an ac4C-dependent manner

2023 98 citations Long Liao, Yan He et al. Cell Research profile →

Author Peers

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

Author						Papers	Cites
Bin Li	6.6k	3.2k	2.1k	1.6k	924	394	10.3k
Bingya Liu	6.9k 1.0×	4.6k 1.4×	2.5k 1.2×	1.4k 0.8×	1.2k 1.3×	295	10.5k
Na Liu	5.6k 0.9×	3.7k 1.2×	1.8k 0.8×	1.5k 0.9×	899 1.0×	319	9.1k
Jesús García‐Foncillas	6.0k 0.9×	4.2k 1.3×	3.1k 1.4×	1.4k 0.9×	597 0.6×	302	10.4k
Fan Fan	6.3k 1.0×	3.4k 1.1×	3.6k 1.7×	1.1k 0.6×	928 1.0×	150	10.1k
Chenguang Wang	7.8k 1.2×	3.2k 1.0×	2.8k 1.3×	1.4k 0.8×	644 0.7×	249	12.0k
Haojie Huang	7.2k 1.1×	2.5k 0.8×	2.1k 1.0×	2.4k 1.5×	743 0.8×	200	10.6k
Asfar S. Azmi	6.7k 1.0×	3.0k 1.0×	3.4k 1.6×	817 0.5×	667 0.7×	217	10.5k
Xian Wang	7.1k 1.1×	3.6k 1.1×	1.9k 0.9×	1.2k 0.7×	794 0.9×	333	10.8k
Dan Li	5.6k 0.8×	3.6k 1.1×	1.5k 0.7×	837 0.5×	723 0.8×	390	8.7k
Bo Zhang	5.1k 0.8×	3.1k 1.0×	2.5k 1.1×	2.5k 1.5×	1.4k 1.5×	350	9.3k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shen, Peng, Xiaoying Zhuang, Yan He, et al.. (2025). Tumor Metastasis: Mechanistic Insights and Therapeutic Intervention. CityU Scholars. 4(1). 2 indexed citations

Zhang, He, Yi Sun, Lingpu Zhang, et al.. (2025). Polymer‐PARPi Conjugates Delivering USP1i for Maximizing Synthetic Lethality to Stimulate STING Pathway in High‐Grade Serous Ovarian Cancer. Advanced Materials. 38(2). e12962–e12962. 1 indexed citations

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

Li, Jiajia, Yihua Sun, Xiuling Zhi, et al.. (2024). Unraveling the molecular mechanisms of lymph node metastasis in ovarian cancer: focus on MEOX1. Journal of Ovarian Research. 17(1). 61–61. 4 indexed citations

Li, Bin, et al.. (2024). Extracellular PKM2 Preserves Cardiomyocytes and Reduces Cardiac Fibrosis During Myocardial Infarction. International Journal of Molecular Sciences. 25(24). 13246–13246. 2 indexed citations

Liu, Zhi, et al.. (2024). Detection of apple moldy core disease by fusing vibration and Vis/NIR spectroscopy data with dual-input MLP-Transformer. Journal of Food Engineering. 382. 112219–112219. 11 indexed citations

Li, Bin, Yichen Wang, Haiqing Chen, et al.. (2023). Pattern of tumor regression after neoadjuvant chemoimmunotherapy for esophageal squamous cell carcinoma. Journal of Thoracic Disease. 15(10). 5517–5524. 3 indexed citations

Li, Bin, et al.. (2023). 6‐Shogaol from Dried Ginger Protects against Intestinal Ischemia/Reperfusion by Inhibiting Cell Apoptosis via the BDNF/TrkB/PI3K/AKT Pathway. Molecular Nutrition & Food Research. 67(13). e2200773–e2200773. 7 indexed citations

Zhang, Yan, et al.. (2023). MRI-based volume measurement methods for staging primary lower extremity lymphedema: a single-center study of asymmetric volume difference-a diagnostic study. BMC Musculoskeletal Disorders. 24(1). 810–810. 3 indexed citations

10.

He, Lang, et al.. (2023). Case Report: Advanced pulmonary sarcomatoid carcinoma with adrenal gland metastasis after sintilimab combined with anlotinib treatment. Frontiers in Oncology. 13. 1167516–1167516. 5 indexed citations

11.

Liao, Long, Yan He, Shujun Li, et al.. (2023). Lysine 2-hydroxyisobutyrylation of NAT10 promotes cancer metastasis in an ac4C-dependent manner. Cell Research. 33(5). 355–371. 98 indexed citations breakdown →

12.

Yu, Xiaomei, Shujun Li, Ziting Yao, et al.. (2023). N4-acetylcytidine modification of lncRNA CTC-490G23.2 promotes cancer metastasis through interacting with PTBP1 to increase CD44 alternative splicing. Oncogene. 42(14). 1101–1116. 48 indexed citations

13.

Leclerc, Guy J., et al.. (2021). Protein Kinase D–Dependent Downregulation of Immediate Early Genes through Class IIA Histone Deacetylases in Acute Lymphoblastic Leukemia. Molecular Cancer Research. 19(8). 1296–1307. 3 indexed citations

14.

Liu, Yaping, et al.. (2021). Molecular mechanisms of chemo‐ and radiotherapy resistance and the potential implications for cancer treatment. SHILAP Revista de lepidopterología. 2(3). 315–340. 231 indexed citations breakdown →

15.

Yang, Yuan‐Han, et al.. (2020). Advances in targeted therapy for esophageal cancer. Signal Transduction and Targeted Therapy. 5(1). 229–229. 324 indexed citations breakdown →

16.

Ke, Zunfu, Yihao Liu, Yunjian Zhang, et al.. (2018). Diagnostic value and lymph node metastasis prediction of a custom‑made panel (thyroline) in thyroid cancer. Oncology Reports. 40(2). 659–668. 9 indexed citations

17.

Xu, Wen, Can‐Can Zheng, Yueming Wang, et al.. (2018). Synephrine Hydrochloride Suppresses Esophageal Cancer Tumor Growth and Metastatic Potential through Inhibition of Galectin-3-AKT/ERK Signaling. Journal of Agricultural and Food Chemistry. 66(35). 9248–9258. 28 indexed citations

18.

Li, Bin, Sai Wah Tsao, Kwok Wah Chan, et al.. (2014). Id1-Induced IGF-II and Its Autocrine/Endocrine Promotion of Esophageal Cancer Progression and Chemoresistance—Implications for IGF-II and IGF-IR–Targeted Therapy. Clinical Cancer Research. 20(10). 2651–2662. 65 indexed citations

19.

Meng, Wei, Zhenqing Ye, Ri Cui, et al.. (2013). MicroRNA-31 Predicts the Presence of Lymph Node Metastases and Survival in Patients with Lung Adenocarcinoma. Clinical Cancer Research. 19(19). 5423–5433. 93 indexed citations

20.

Patel, Rupal, Laurie A. LeBrun, Shaohui Wang, et al.. (2008). ATLAS—A High-Throughput Affinity-Based Screening Technology for Soluble Proteins: Technology Application Using p38 MAP Kinase. Assay and Drug Development Technologies. 6(1). 55–68. 8 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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