Bing Wang

4.3k total citations · 1 hit paper
109 papers, 3.4k citations indexed

About

Bing Wang is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Bing Wang has authored 109 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 30 papers in Immunology and 24 papers in Cell Biology. Recurrent topics in Bing Wang's work include Endoplasmic Reticulum Stress and Disease (12 papers), Protein Tyrosine Phosphatases (11 papers) and Galectins and Cancer Biology (8 papers). Bing Wang is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (12 papers), Protein Tyrosine Phosphatases (11 papers) and Galectins and Cancer Biology (8 papers). Bing Wang collaborates with scholars based in China, United States and Canada. Bing Wang's co-authors include Jin Jiang, Qing Zhang, Fangfang Ren, Lei Zhang, Yongbin Chen, Jianhang Jia, Wensheng Zhang, Richard Trinko, Lei Zhang and Eun-Young Yun and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Bing Wang

103 papers receiving 3.3k citations

Hit Papers

The TEAD/TEF Family of Transcription Factor Scalloped Med... 2008 2026 2014 2020 2008 100 200 300 400 500
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. The TEAD/TEF Family of Transcription Factor Scalloped Mediates Hippo Signaling in Organ Size Control
    2008 529 citations Lei Zhang, Fangfang Ren et al. Developmental Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Wang China 29 1.9k 1.3k 588 368 248 109 3.4k
Bill X. Wu United States 34 2.3k 1.2× 613 0.5× 597 1.0× 508 1.4× 286 1.2× 52 3.1k
Norie Araki Japan 36 2.1k 1.1× 719 0.6× 553 0.9× 486 1.3× 530 2.1× 102 4.6k
Xin A. Zhang United States 34 1.6k 0.8× 695 0.5× 406 0.7× 413 1.1× 202 0.8× 62 3.4k
Alexis Traynor‐Kaplan United States 31 2.6k 1.4× 1.2k 0.9× 649 1.1× 316 0.9× 394 1.6× 58 3.9k
Sakari Kellokumpu Finland 34 1.8k 1.0× 792 0.6× 391 0.7× 218 0.6× 251 1.0× 73 2.8k
Pradipta Ghosh United States 40 3.4k 1.8× 1.5k 1.2× 570 1.0× 643 1.7× 578 2.3× 146 5.3k
Brian P. Ceresa United States 29 2.0k 1.1× 1.2k 0.9× 245 0.4× 461 1.3× 512 2.1× 59 3.2k
Saverio Francesco Retta Italy 36 1.6k 0.8× 744 0.6× 358 0.6× 295 0.8× 143 0.6× 83 3.9k

Countries citing papers authored by Bing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Wang. A scholar is included among the top collaborators of Bing Wang 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 Wang. Bing Wang 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.
Wang, Bing, et al.. (2025). Prodrug-based bispecific antibodies for cancer therapy: advances and future directions. Frontiers in Immunology. 16. 1523693–1523693. 8 indexed citations
2.
Li, Guoxun, et al.. (2024). p20BAP31 promotes cell apoptosis via interaction with GRP78 and activating the PERK pathway in colorectal cancer. International Journal of Biological Macromolecules. 272(Pt 2). 132870–132870. 1 indexed citations
3.
Cheng, Pu, Xiaoyan Zhang, Dong Wang, et al.. (2024). Machine learning-based disulfidptosis-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity in hepatocellular carcinoma. Scientific Reports. 14(1). 4354–4354. 2 indexed citations
4.
Wu, Yufei, et al.. (2024). BAP31 Promotes Angiogenesis via Galectin-3 Upregulation in Neuroblastoma. International Journal of Molecular Sciences. 25(5). 2946–2946. 5 indexed citations
5.
Jiang, Rong, et al.. (2024). Case Report: Postoperative ascites: allergic reaction to the drainage tube in a 12-year-old patient. Frontiers in Surgery. 11. 1409673–1409673.
6.
Liu, Jingjing, et al.. (2023). Knockdown of BAP31 Downregulates Galectin-3 to Inhibit the Wnt/β-Catenin Signaling Pathway to Modulate 5-FU Chemosensitivity and Cancer Stemness in Colorectal Cancer. International Journal of Molecular Sciences. 24(18). 14402–14402. 5 indexed citations
7.
Wang, Tao, Yang Yu, Na Zhang, et al.. (2023). PTPN18 Serves as a Potential Oncogene for Glioblastoma by Enhancing Immune Suppression. Oxidative Medicine and Cellular Longevity. 2023. 1–21. 2 indexed citations
8.
Bai, Bin, Tao Wang, Na Zhang, et al.. (2023). PTPN22 activates the PI3K pathway via 14‐3‐3τ in T cells. FEBS Journal. 290(18). 4562–4576. 3 indexed citations
9.
Li, Guoxun, et al.. (2023). p20BAP31 induces cell apoptosis via both AIF caspase-independent and the ROS/JNK mitochondrial pathway in colorectal cancer. Cellular & Molecular Biology Letters. 28(1). 25–25. 19 indexed citations
10.
11.
Zhao, Chuanke, Jin Ding, Lixin Wang, et al.. (2022). Targeting Claudin 18.2 Using a Highly Specific Antibody Enables Cancer Diagnosis and Guided Surgery. Molecular Pharmaceutics. 19(10). 3530–3541. 21 indexed citations
12.
Li, Shuangxi, et al.. (2020). Gilgamesh (Gish)/CK1γ regulates tissue homeostasis and aging in adult Drosophila midgut. The Journal of Cell Biology. 219(4). 10 indexed citations
13.
Wang, Bing, et al.. (2018). Detection of pulmonary surfactant protein A by using an aptamer-based liquid crystal biosensor. Analytical Methods. 10(24). 2895–2900. 17 indexed citations
14.
Chen, Jing, et al.. (2018). A BAP31 intrabody induces gastric cancer cell death by inhibiting p27kip1 proteasome degradation. International Journal of Cancer. 144(8). 2051–2062. 34 indexed citations
15.
16.
Huang, Yongye, Lin Yuan, Tianye Li, et al.. (2015). Valproic Acid Improves Porcine Parthenogenetic Embryo Development Through Transient Remodeling of Histone Modifiers. Cellular Physiology and Biochemistry. 37(4). 1463–1473. 8 indexed citations
17.
Jiang, Yuzhang, et al.. (2012). Association of the C-reactive protein gene polymorphisms and plasma hs-CRP level in ischemic stroke. Zhonghua jianyan yixue zazhi. 35(10). 916–920. 1 indexed citations
18.
Wang, Bing, Pravin T. P. Kaumaya, & David E. Cohn. (2010). Immunization with synthetic VEGF peptides in ovarian cancer. Gynecologic Oncology. 119(3). 564–570. 25 indexed citations
19.
Wang, Bing, Donglei Zhang, Nhi Nguyen, et al.. (2008). BAP31 Interacts with Sec61 Translocons and Promotes Retrotranslocation of CFTRΔF508 via the Derlin-1 Complex. Cell. 133(6). 1080–1092. 130 indexed citations
20.
Zhang, Lei, Fangfang Ren, Qing Zhang, et al.. (2008). The TEAD/TEF Family of Transcription Factor Scalloped Mediates Hippo Signaling in Organ Size Control. Developmental Cell. 14(3). 377–387. 529 indexed citations breakdown →

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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