Bing Gao

1.5k total citations · 1 hit paper
44 papers, 594 citations indexed

About

Bing Gao is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Bing Gao has authored 44 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Epidemiology. Recurrent topics in Bing Gao's work include Liver Disease Diagnosis and Treatment (5 papers), Gut microbiota and health (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Bing Gao is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Gut microbiota and health (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Bing Gao collaborates with scholars based in China, United States and Taiwan. Bing Gao's co-authors include Jianping Guo, Huan Zhou, Ye Cheng, Jun Chen, Xiuhua Li, Dan Liu, Qiwei Jiang, Xueji Wu, Xiangjun Liu and Jin‐He Guo and has published in prestigious journals such as Journal of Clinical Oncology, Nature Methods and Cancer Research.

In The Last Decade

Bing Gao

41 papers receiving 588 citations

Hit Papers

High-fat diet promotes liver tumorigenesis via palmitoyla... 2024 2026 2024 25 50 75
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. High-fat diet promotes liver tumorigenesis via palmitoylation and activation of AKT
    2024 79 citations Zhengkun Zhang, Jianwen Chen et al. Gut 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 Gao China 15 270 131 125 105 94 44 594
Eaum Seok Lee South Korea 13 202 0.7× 141 1.1× 159 1.3× 49 0.5× 80 0.9× 72 701
Abdelhadi M. Shebl Egypt 14 169 0.6× 117 0.9× 70 0.6× 41 0.4× 73 0.8× 40 524
Hang Yan China 16 381 1.4× 80 0.6× 162 1.3× 79 0.8× 30 0.3× 28 664
Yixin Zhang China 12 134 0.5× 154 1.2× 128 1.0× 68 0.6× 75 0.8× 37 544
Fang Xiao China 14 200 0.7× 172 1.3× 123 1.0× 85 0.8× 87 0.9× 52 690
Tonghai Xing China 14 123 0.5× 119 0.9× 53 0.4× 48 0.5× 91 1.0× 28 491
Zhechuan Mei China 17 393 1.5× 89 0.7× 48 0.4× 147 1.4× 36 0.4× 49 710
S Schlosser Germany 10 212 0.8× 82 0.6× 110 0.9× 72 0.7× 47 0.5× 22 426

Countries citing papers authored by Bing Gao

Since Specialization
Citations

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

Fields of papers citing papers by Bing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Gao. A scholar is included among the top collaborators of Bing Gao 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 Gao. Bing Gao 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.
Zhang, Yi, Yaqing Su, Xueji Wu, et al.. (2025). High-protein diets alleviate tumour growth and drug resistance by promoting AKT aggregation and turnover. Gut. 74(10). 1711–1727. 1 indexed citations
2.
Gao, Bing, et al.. (2025). Moxibustion Improves Mitochondrial Energy Metabolism in Rats with Chronic Heart Failure via AMPK/PGC-1α Pathway Activation. Acupuncture & Electro-Therapeutics Research. 49(3). 103–121.
3.
Wang, Lei, Xiaocong Zhou, Yanjun Ren, et al.. (2025). Health risk assessment via ingestion of disinfection by-products in drinking water. Scientific Reports. 15(1). 1793–1793. 4 indexed citations
4.
Zhang, Jian, Huan Liu, Jianxiong Guo, et al.. (2025). CircERC1 facilitates chemoresistance through inhibiting pyroptosis and remodeling extracellular matrix in pancreatic cancer. Molecular Cancer. 24(1). 185–185. 2 indexed citations
5.
Zhang, Zhengkun, Jianwen Chen, Yizeng Fan, et al.. (2024). High-fat diet promotes liver tumorigenesis via palmitoylation and activation of AKT. Gut. 73(7). 1156–1168. 79 indexed citations breakdown →
6.
Tian, Ruonan, Bing Gao, Yu Zhao, et al.. (2024). Integrative mapping of human CD8+ T cells in inflammation and cancer. Nature Methods. 22(2). 435–445. 6 indexed citations
7.
Zhang, Xiaomei, Qiwei Jiang, Yaqing Su, et al.. (2023). AMPK phosphorylates and stabilises copper transporter 1 to synergise metformin and copper chelator for breast cancer therapy. British Journal of Cancer. 128(8). 1452–1465. 21 indexed citations
8.
Xie, Wei, Qiwei Jiang, Xueji Wu, et al.. (2022). IKBKE phosphorylates and stabilizes Snail to promote breast cancer invasion and metastasis. Cell Death and Differentiation. 29(8). 1528–1540. 24 indexed citations
9.
10.
Gao, Bing, et al.. (2021). Association of 5-HTR2A -1438A/G polymorphism with anorexia nervosa and bulimia nervosa: A meta-analysis. Neuroscience Letters. 755. 135918–135918. 6 indexed citations
11.
Zhang, Min, Huan Zhou, Shanshan Xu, et al.. (2020). The gut microbiome can be used to predict the gastrointestinal response and efficacy of lung cancer patients undergoing chemotherapy. Annals of Palliative Medicine. 9(6). 4211–4227. 33 indexed citations
12.
13.
Yao, Jianning, Xuexiu Zhang, Haining Zhou, et al.. (2017). Human papillomavirus related anal squamous cell carcinoma survival: a systematic review and meta-analysis. Translational Cancer Research. 6(3). 463–473. 7 indexed citations
14.
Chuang, Wan‐Long, Rong‐Nan Chien, Cheng‐Yuan Peng, et al.. (2016). Ledipasvir/sofosbuvir fixed‐dose combination tablet in Taiwanese patients with chronic genotype 1 hepatitis C virus. Journal of Gastroenterology and Hepatology. 31(7). 1323–1329. 22 indexed citations
15.
Zhou, Fan, et al.. (2014). Corticotropin-releasing hormone expression in patients with intrahepatic cholestasis of pregnancy after ursodeoxycholic acid treatment: an initial experience. Current Medical Research and Opinion. 30(8). 1529–1535. 4 indexed citations
16.
Peng, Jing, Yiming Yuan, Weidong Song, et al.. (2013). [Efficacy of microsurgical vasectomy reversal on patients after vasectomy].. PubMed. 45(4). 597–9. 2 indexed citations
17.
18.
Peng, Jing, Yiming Yuan, Zhichao Zhang, et al.. (2011). [Factors affecting the results of microsurgical vasoepididymostomy].. PubMed. 43(4). 562–4. 3 indexed citations
19.
20.
Ueyama, Koji, Bing Gao, Yasuhiko Tabata, et al.. (2004). Development of biologic coronary artery bypass grafting in a rabbit model: revival of a classic concept with modern biotechnology. Journal of Thoracic and Cardiovascular Surgery. 127(6). 1608–1615. 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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