Ming Gu

625 total citations · 1 hit paper
19 papers, 473 citations indexed

About

Ming Gu is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Ming Gu has authored 19 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Surgery. Recurrent topics in Ming Gu's work include Cancer Cells and Metastasis (4 papers), MicroRNA in disease regulation (2 papers) and RNA modifications and cancer (2 papers). Ming Gu is often cited by papers focused on Cancer Cells and Metastasis (4 papers), MicroRNA in disease regulation (2 papers) and RNA modifications and cancer (2 papers). Ming Gu collaborates with scholars based in China, United States and Switzerland. Ming Gu's co-authors include Ilka Warshawsky, Philip W. Majerus, Xinyu Zheng, Yang Yang, Yuhe Zhou, Xiaowei Li, Wenhui Zheng, Hongtao Chen, Jingdong Zhu and Yu Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Ming Gu

17 papers receiving 471 citations

Hit Papers

Autophagy in aging-related diseases and cancer: Principle... 2024 2026 2025 2024 10 20 30
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. Autophagy in aging-related diseases and cancer: Principles, regulatory mechanisms and therapeutic potential
    2024 37 citations Wenhui Zheng, Yu Tian et al. Ageing Research Reviews profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Gu China 9 336 171 74 70 57 19 473
Weihua Bian China 12 349 1.0× 195 1.1× 85 1.1× 62 0.9× 56 1.0× 27 523
Jeremy Soon Kiat Chan Singapore 11 264 0.8× 161 0.9× 98 1.3× 61 0.9× 106 1.9× 13 499
James V. Michael United States 13 320 1.0× 126 0.7× 45 0.6× 83 1.2× 140 2.5× 22 585
Junlan Zhou China 13 234 0.7× 80 0.5× 76 1.0× 52 0.7× 62 1.1× 31 411
Shaoyan Jiang China 13 335 1.0× 225 1.3× 54 0.7× 66 0.9× 27 0.5× 20 496
Martin F. Crook United States 11 279 0.8× 122 0.7× 42 0.6× 70 1.0× 94 1.6× 13 506
Qiong Xu China 13 550 1.6× 288 1.7× 64 0.9× 90 1.3× 96 1.7× 29 724
Yiting Jia China 10 216 0.6× 109 0.6× 67 0.9× 76 1.1× 20 0.4× 14 435

Countries citing papers authored by Ming Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Gu. A scholar is included among the top collaborators of Ming Gu 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 Ming Gu. Ming Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wang, Yihua, et al.. (2025). Case Report: A rare cause of duodenal intussusception: the pedunculated Brunner’s gland hamartoma. Frontiers in Oncology. 15. 1699786–1699786.
2.
3.
Gu, Ming, Yang Liu, Xin Peng, et al.. (2024). Fundamental insights and molecular interactions in pancreatic cancer: Pathways to therapeutic approaches. Cancer Letters. 588. 216738–216738. 7 indexed citations
4.
Zheng, Wenhui, Yu Tian, Min Tang, et al.. (2024). Autophagy in aging-related diseases and cancer: Principles, regulatory mechanisms and therapeutic potential. Ageing Research Reviews. 100. 102428–102428. 37 indexed citations breakdown →
5.
Liu, Qun, et al.. (2024). Expression characteristics of TBC1D4 activating protein molecule and identification of key module genes for preventing thyroid cancer progression. International Journal of Biological Macromolecules. 278(Pt 4). 134986–134986. 2 indexed citations
6.
Zhou, Peipei, et al.. (2023). No evident causal association between Helicobacter pylori infection and colorectal cancer: a bidirectional mendelian randomization study. Scientific Reports. 13(1). 18544–18544. 7 indexed citations
7.
Li, Jiao, Wan Zheng, Ming Gu, et al.. (2022). Structures of the CcmABCD heme release complex at multiple states. Nature Communications. 13(1). 6422–6422. 16 indexed citations
8.
Wang, Shuo, et al.. (2022). Secretion of BMP-2 by tumor-associated macrophages (TAM) promotes microcalcifications in breast cancer. BMC Cancer. 22(1). 34–34. 15 indexed citations
9.
Chen, Shi, Xiong Wang, Jinmei Liu, et al.. (2021). Toxicities and Associated Factors in Patients Receiving Temozolomide-Containing Regimens: A 12-Year Analysis of Hospital Data. Drug Design Development and Therapy. Volume 15. 2151–2159. 5 indexed citations
10.
Gu, Ming, et al.. (2021). High-speed EEG-Based Brain-Computer Interface with Wide Dynamic-range ADC. 278–279. 1 indexed citations
11.
Zhang, Qiang & Ming Gu. (2020). Single-cell sequencing and its application in breast cancer.. PubMed. 42(3). 250–268. 6 indexed citations
12.
Gu, Ming, et al.. (2019). BMP-2 upregulates the AKT/mTOR pathway in breast cancer with microcalcification and indicates a poor prognosis. Clinical & Translational Oncology. 22(8). 1263–1271. 11 indexed citations
13.
Zheng, Wenhui, Yan Zhao, Shuo Wang, et al.. (2019). Multiple Functions and Mechanisms Underlying the Role of METTL3 in Human Cancers. Frontiers in Oncology. 9. 1403–1403. 72 indexed citations
14.
Gu, Ming & Xinyu Zheng. (2017). Osteopontin and vasculogenic mimicry formation are associated with response to neoadjuvant chemotherapy in advanced breast cancer. OncoTargets and Therapy. Volume 10. 4121–4127. 15 indexed citations
15.
Yuan, Jinxia, Hongtao Chen, Dawei Ge, et al.. (2017). Mir-21 Promotes Cardiac Fibrosis After Myocardial Infarction Via Targeting Smad7. Cellular Physiology and Biochemistry. 42(6). 2207–2219. 175 indexed citations
16.
Wang, Xianjin, Qun Chen, Yu Xu, et al.. (2017). Risk factors of atherosclerotic tissue types in single-vessel and intermediate coronary lesions: a cross-sectional study. Lipids in Health and Disease. 16(1). 63–63. 2 indexed citations
17.
Tan, Dingyu, Jun Xu, Yi Yang, Ming Gu, & Xuezhong Yu. (2016). Postoperative acute respiratory failure caused by adult‐onset Pompe disease. The Clinical Respiratory Journal. 12(1). 344–346. 2 indexed citations
18.
Cai, Xiaopeng, et al.. (2012). Survivin regulates the expression of VEGF-C in lymphatic metastasis of breast cancer. Diagnostic Pathology. 7(1). 52–52. 23 indexed citations
19.
Gu, Ming, Ilka Warshawsky, & Philip W. Majerus. (1992). Cloning and expression of a cytosolic megakaryocyte protein-tyrosine-phosphatase with sequence homology to retinaldehyde-binding protein and yeast SEC14p.. Proceedings of the National Academy of Sciences. 89(7). 2980–2984. 77 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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