Liang Ming

2.3k total citations
67 papers, 1.7k citations indexed

About

Liang Ming is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Liang Ming has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 13 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Liang Ming's work include Inflammatory Biomarkers in Disease Prognosis (6 papers), Advanced Battery Materials and Technologies (5 papers) and Advancements in Battery Materials (5 papers). Liang Ming is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (6 papers), Advanced Battery Materials and Technologies (5 papers) and Advancements in Battery Materials (5 papers). Liang Ming collaborates with scholars based in China, United Kingdom and United States. Liang Ming's co-authors include Baoming Luo, Xiaolin Xu, Junfen Ma, Xiaodi Liu, Fenglin Hu, Ruili Lu, Zhiyun Jiang, Hongchun Liu, Ting Sun and Qian Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Radiology.

In The Last Decade

Liang Ming

63 papers receiving 1.7k citations

Peers

Liang Ming
Qing Peng China
Zhang China
Nan Zhang China
Xiaofeng Fan United States
Lei Xu China
Liang Ming
Citations per year, relative to Liang Ming Liang Ming (= 1×) peers Naoto Aoki

Countries citing papers authored by Liang Ming

Since Specialization
Citations

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

Fields of papers citing papers by Liang Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ming

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ming. A scholar is included among the top collaborators of Liang Ming 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 Liang Ming. Liang Ming 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.
Ming, Liang, Shiji Wu, Bing Ou, et al.. (2025). Discriminating Clear Cell From Non-Clear Cell Renal Cell Carcinoma: A Machine Learning Approach Using Contrast-enhanced Ultrasound Radiomics. Ultrasound in Medicine & Biology. 51(8). 1361–1369.
2.
Ming, Liang, et al.. (2024). Evaluation of contrast-enhanced ultrasound for predicting tumor grade in small (≤4 cm) clear cell renal cell carcinoma: Qualitative and quantitative analysis. Clinical Hemorheology and Microcirculation. 88(3). 1–12. 3 indexed citations
3.
Wei, Chaochao, Zhongkai Wu, Qiyue Luo, et al.. (2023). Revealing the size effect of FeS2 on solid-state battery performances at different operating temperatures. Chinese Chemical Letters. 35(6). 108717–108717. 11 indexed citations
4.
Ming, Liang, Dan Liŭ, Qiyue Luo, et al.. (2023). Si-doped Li6PS5I with enhanced conductivity enables superior performance for all-solid-state lithium batteries. Chinese Chemical Letters. 35(10). 109387–109387. 13 indexed citations
5.
Zhang, Cai, Lijie Zhou, Junwei Zhao, et al.. (2022). Obesity accelerates immune evasion of non-small cell lung carcinoma via TFEB-dependent upregulation of Siglec-15 and glycolytic reprogramming. Cancer Letters. 550. 215918–215918. 11 indexed citations
6.
Gao, Yuhua, et al.. (2020). Trimester-Specific Reference Intervals of Serum Urea, Creatinine, and Uric Acid Among Healthy Pregnant Women in Zhengzhou, China. Laboratory Medicine. 52(3). 267–272. 6 indexed citations
7.
Cui, Guanglin, Hongchun Liu, Xingguang Li, & Liang Ming. (2020). Preliminary functional and phylogeographic analyses of the 72 nucleotide duplication region in the emerging human respiratory syncytial virus ON1 strain attachment glycoprotein gene. Biomedicine & Pharmacotherapy. 123. 109800–109800. 5 indexed citations
8.
Lyu, Mengyuan, Dongmei Wang, Junwei Zhao, et al.. (2020). A novel risk factor for predicting anti-tuberculosis drug resistance in patients with tuberculosis complicated with type 2 diabetes mellitus. International Journal of Infectious Diseases. 97. 69–77. 15 indexed citations
9.
Li, Qingyong, Min Wang, Liang Ming, et al.. (2019). Tryptophan residue enhances in vitro walnut protein-derived peptides exerting xanthine oxidase inhibition and antioxidant activities. Journal of Functional Foods. 53. 276–285. 78 indexed citations
10.
Xu, Hui, Menglan Zhou, Meng Xiao, et al.. (2019). <p>Epidemiology And Antifungal Susceptibility Patterns Of Invasive Fungal Infections From 2012 To 2014 In A Teaching Hospital In Central China</p>. Infection and Drug Resistance. Volume 12. 3641–3651. 8 indexed citations
11.
Sun, Xiaoxu, Junwei Zhao, Qiu‐Ya Wang, et al.. (2018). Prevalence of allergen sensitization among 15,534 patients with suspected allergic diseases in Henan Province, China. Asian Pacific Journal of Allergy and Immunology. 37(2). 57–64. 19 indexed citations
12.
Wang, Qian, Junfen Ma, Zhiyun Jiang, & Liang Ming. (2018). Prognostic value of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in acute pulmonary embolism: a systematic review and meta-analysis. International Angiology. 37(1). 4–11. 126 indexed citations
13.
Ming, Liang, Yangxia Wang, Wei Lu, & Ting Sun. (2018). A Mutational Analysis of GJB2 , SLC26A4 , MT-RNA1 , and GJB3 in Children with Nonsyndromic Hearing Loss in the Henan Province of China. Genetic Testing and Molecular Biomarkers. 23(1). 51–56. 8 indexed citations
14.
Guo, Shuren, et al.. (2018). The moderate predictive value of serial serum CRP and PCT levels for the prognosis of hospitalized community-acquired pneumonia. Respiratory Research. 19(1). 193–193. 39 indexed citations
15.
Zhao, Zizhuo, Jiayi Wu, Xiaodi Liu, et al.. (2018). Insufficient radiofrequency ablation promotes proliferation of residual hepatocellular carcinoma via autophagy. Cancer Letters. 421. 73–81. 53 indexed citations
16.
Wang, Xuebin, Ning‐hua Cui, Shuai Zhang, et al.. (2017). PARP-1 Variant Rs1136410 Confers Protection against Coronary Artery Disease in a Chinese Han Population: A Two-Stage Case-Control Study Involving 5643 Subjects. Frontiers in Physiology. 8. 916–916. 12 indexed citations
17.
Xu, Xuejuan, et al.. (2017). Liraglutide regulates the viability of pancreatic α-cells and pancreatic β-cells through cAMP-PKA signal pathway. Life Sciences. 195. 87–94. 12 indexed citations
18.
Ming, Liang, Lei Zhang, Chun Li Zhang, et al.. (2016). Invasion by Trichinella spiralis infective larvae affects the levels of inflammatory cytokines in intestinal epithelial cells in vitro. Experimental Parasitology. 170. 220–226. 13 indexed citations
19.
Li, Nan, Junfen Ma, Kai Li, Changlong Guo, & Liang Ming. (2016). Different Contributions of CDKAL 1, KIF21B , and LRRK2/MUC19 Polymorphisms to SAPHO Syndrome, Rheumatoid Arthritis, Ankylosing Spondylitis, and Seronegative Spondyloarthropathy. Genetic Testing and Molecular Biomarkers. 21(2). 122–126. 12 indexed citations
20.
Bian, Jing, Bo Li, Xianjuan Kou, Tianzhou Liu, & Liang Ming. (2013). Clinical Significance of Combined Detection of Serum Tumor Markers in Diagnosis of Patients with Ovarian Cancer. Asian Pacific Journal of Cancer Prevention. 14(11). 6241–6243. 24 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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