Ming Sun

1.8k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Ming Sun is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Ming Sun has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in Ming Sun's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Muscle metabolism and nutrition (3 papers) and Gastric Cancer Management and Outcomes (3 papers). Ming Sun is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Muscle metabolism and nutrition (3 papers) and Gastric Cancer Management and Outcomes (3 papers). Ming Sun collaborates with scholars based in China and United States. Ming Sun's co-authors include Hai Huang, Weilin Jin, Ying Xia, JO Hill, JC Peters, Zuo‐Feng Zhang, Robert C. Kurtz, Susan Harlap, Martin S. Karpeh and Guo‐Pei Yu and has published in prestigious journals such as The EMBO Journal, American Journal of Clinical Nutrition and Cancer.

In The Last Decade

Ming Sun

33 papers receiving 1.1k citations

Hit Papers

Drug repurposing for cancer therapy 2024 2026 2025 2024 50 100 150
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. Drug repurposing for cancer therapy
    2024 168 citations Ying Xia, Ming Sun et al. Signal Transduction and Targeted Therapy 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 Sun China 15 247 230 210 181 166 37 1.1k
Jingfang Liu China 20 109 0.4× 494 2.1× 89 0.4× 109 0.6× 56 0.3× 104 1.3k
René Thieme Germany 20 98 0.4× 253 1.1× 131 0.6× 266 1.5× 48 0.3× 65 895
Shannon D. McClintock United States 18 89 0.4× 375 1.6× 152 0.7× 119 0.7× 74 0.4× 38 1.2k
Dong Tian China 19 89 0.4× 535 2.3× 203 1.0× 257 1.4× 70 0.4× 124 1.4k
Kang Wang China 26 118 0.5× 496 2.2× 175 0.8× 183 1.0× 252 1.5× 119 2.0k
A. H. Zwinderman Netherlands 21 63 0.3× 497 2.2× 269 1.3× 377 2.1× 82 0.5× 37 1.8k
Giovam Battista Rini Italy 24 334 1.4× 284 1.2× 79 0.4× 445 2.5× 26 0.2× 60 2.3k
Dapeng Chen China 20 139 0.6× 664 2.9× 117 0.6× 107 0.6× 25 0.2× 99 1.6k
Honghong Liu China 20 251 1.0× 621 2.7× 57 0.3× 229 1.3× 50 0.3× 79 1.7k
Bo Hu China 22 84 0.3× 533 2.3× 192 0.9× 118 0.7× 119 0.7× 82 1.6k

Countries citing papers authored by Ming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Sun. A scholar is included among the top collaborators of Ming Sun 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 Sun. Ming Sun 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.
Xu, Man, Xiyuan Zhang, Ming Sun, et al.. (2024). Targeting SWI/SNF ATPases reduces neuroblastoma cell plasticity. The EMBO Journal. 43(20). 4522–4541. 3 indexed citations
2.
Xia, Ying, Ming Sun, Hai Huang, & Weilin Jin. (2024). Drug repurposing for cancer therapy. Signal Transduction and Targeted Therapy. 9(1). 92–92. 168 indexed citations breakdown →
3.
Su, Ying, Yu Qian, Ming Sun, et al.. (2024). The effects of curing conditions on the performance and carbon dioxide emissions of fly ash-magnesium phosphate cement repair materials for pavement maintenance. Journal of CO2 Utilization. 90. 102998–102998. 5 indexed citations
4.
Xu, Ziyan, Shihao Xu, Hubert Tseng, et al.. (2024). Scavenger Receptor CD36 in Tumor-Associated Macrophages Promotes Cancer Progression by Dampening Type-I IFN Signaling. Cancer Research. 85(3). 462–476. 8 indexed citations
5.
Ge, Xuejun, Yan Ding, Ran Li, et al.. (2023). The Loss of YTHDC1 in Gut Macrophages Exacerbates Inflammatory Bowel Disease. Advanced Science. 10(14). e2205620–e2205620. 21 indexed citations
6.
Liu, Guan‐Ting, Haobo Sun, Tian Yang, & Ming Sun. (2023). Rehabilitation of Chronic Exercise Injuries: Overtraining, Muscle Imbalances, and Prevention. 1(2). 54–59.
7.
8.
Huang, Rongrong, Ming Sun, Weiwei Wang, Xiaoyu Yu, & Fan Liu. (2023). YTHDF2 alleviates microglia activation via promoting circHIPK2 degradation. Journal of Neuroimmunology. 387. 578265–578265. 1 indexed citations
9.
Wang, Kai, et al.. (2022). Isolation and Characterization of Novel Lytic Bacteriophage vB_RsoP_BMB50 infecting Ralstonia solanacearum. Current Microbiology. 79(9). 245–245. 7 indexed citations
10.
Chen, Qianru, Xia Zhang, Ling Lin, et al.. (2022). Effects of low temperature on flowering and the expression of related genes in Loropetalum chinense var. rubrum. Frontiers in Plant Science. 13. 1000160–1000160. 6 indexed citations
11.
Lin, Fan, Jinpeng Xu, Lei Yi, et al.. (2020). A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma. European Journal of Radiology. 129. 109079–109079. 34 indexed citations
12.
Li, Ying, Hua Feng, Guofu Zhang, et al.. (2020). Radiologists with MRI-based radiomics aids to predict the pelvic lymph node metastasis in endometrial cancer: a multicenter study. European Radiology. 31(1). 411–422. 74 indexed citations
13.
14.
Hou, Jianquan, Guicheng Zhang, Ming Sun, Wen‐Cai Ye, & Dalei Song. (2016). Methane distribution, sources, and sinks in an aquaculture bay (Sanggou Bay, China). Aquaculture Environment Interactions. 8. 481–495. 13 indexed citations
15.
Wang, Pengxia, Chunyi Zhang, Mengmeng Guo, et al.. (2013). Complete genome sequence of Bacillus thuringiensis YBT-1518, a typical strain with high toxicity to nematodes. Journal of Biotechnology. 171. 1–2. 27 indexed citations
16.
Sun, Ming. (2010). The Role of Saccharomyces cerevisiae NAD(H) Kinase Pos5p on the Defense of Oxidative Stress. Microbiology, China. 2 indexed citations
17.
Li, Dong, Yi Liu, Yong Zhang, et al.. (2007). Adjuvant effects of plasmid-generated hairpin RNA molecules on DNA vaccination. Vaccine. 25(39-40). 6992–7000. 9 indexed citations
18.
Chen, Kong Y., et al.. (2003). Increased resting energy expenditure in patients with end‐stage renal disease. Journal of Parenteral and Enteral Nutrition. 27(1). 36–42. 64 indexed citations
19.
Ghossein, Ronald, Juan Rosaí, Howard I. Scher, et al.. (1997). Prognostic significance of detection of prostate-specific antigen transcripts in the peripheral blood of patients with metastatic androgen-independent prostatic carcinoma. Urology. 50(1). 100–105. 63 indexed citations
20.
Peters, JC, et al.. (1992). Nutrient balance and energy expenditure during ad libitum feeding of high-fat and high-carbohydrate diets in humans. American Journal of Clinical Nutrition. 55(5). 934–942. 207 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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