Ming Chu

583 total citations
23 papers, 280 citations indexed

About

Ming Chu is a scholar working on Molecular Biology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Ming Chu has authored 23 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Ming Chu's work include Cancer Mechanisms and Therapy (4 papers), Peptidase Inhibition and Analysis (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Ming Chu is often cited by papers focused on Cancer Mechanisms and Therapy (4 papers), Peptidase Inhibition and Analysis (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Ming Chu collaborates with scholars based in China and United States. Ming Chu's co-authors include Lanlan Wei, Jack Saroff, Gerald P. Murphy, Rashad Y. Kirdani, Zew Wajsman, Liping Tong, Aixia Zhai, Yuting Ji, Jingwei Zhang and Kun Xu and has published in prestigious journals such as The FASEB Journal, Frontiers in Microbiology and Oncotarget.

In The Last Decade

Ming Chu

21 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Chu China	10	119	88	78	65	43	23	280
Jiao Xiao China	8	168 1.4×	60 0.7×	42 0.5×	20 0.3×	21 0.5×	15	358
Peizhi Fan China	10	163 1.4×	104 1.2×	37 0.5×	17 0.3×	21 0.5×	14	276
Haonan Wang China	11	173 1.5×	82 0.9×	39 0.5×	20 0.3×	14 0.3×	35	319
Chrysovalantou Mihailidou Greece	9	156 1.3×	76 0.9×	46 0.6×	20 0.3×	67 1.6×	12	284
Marilidia Piglionica Italy	9	110 0.9×	53 0.6×	61 0.8×	35 0.5×	25 0.6×	20	249
Claudia Sabato Italy	13	217 1.8×	149 1.7×	51 0.7×	17 0.3×	24 0.6×	18	347
Hung‐Yun Lin Taiwan	8	134 1.1×	45 0.5×	78 1.0×	28 0.4×	22 0.5×	8	331
Sharifeh Khosravi Iran	11	130 1.1×	84 1.0×	45 0.6×	19 0.3×	61 1.4×	19	303
Irene Aguilera‐Barrantes United States	8	133 1.1×	93 1.1×	33 0.4×	17 0.3×	98 2.3×	14	315

Countries citing papers authored by Ming Chu

Since Specialization

Citations

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

Fields of papers citing papers by Ming Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Chu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Rui, Xiao-Xin Zhang, Yijie Wang, et al.. (2025). Clinical indicators associated with tuberculous meningitis using multiple correspondence analysis. Diagnostic Microbiology and Infectious Disease. 113(3). 116932–116932.

Chen, Yuzhu, Siqi Lu, Zuojing Liu, et al.. (2025). Mechanosensory Piezo2 regulated by gut microbiota participates in the development of visceral hypersensitivity and intestinal dysmotility. Gut Microbes. 17(1). 2497399–2497399. 3 indexed citations

Wang, Ziyuan, et al.. (2025). Insights Into Intestinal Flora in Metabolic Dysfunction‐Associated Steatotic Liver Disease. The FASEB Journal. 39(16). e70932–e70932. 1 indexed citations

Shi, Yingwu, Hongmei Yang, Ming Chu, et al.. (2024). Optimization of the fermentation media and growth conditions of Bacillus velezensis BHZ-29 using a Plackett–Burman design experiment combined with response surface methodology. Frontiers in Microbiology. 15. 1355369–1355369. 7 indexed citations

Zhang, Shengkun, Dapeng Li, Yijie Wang, et al.. (2024). Comparative study of pathogen detection methods for central nervous system infections: laboratory testing of tuberculous meningitis. BMC Infectious Diseases. 24(1). 1172–1172.

Huang, Tingting, et al.. (2021). Characteristics of skin microbiota in an atopic dermatitis-like mouse model induced by 2,4-dinitrochlorobenzene. Chinese Journal of Dermatology. 1 indexed citations

Xie, Jingqian, et al.. (2020). Global occurrence, bioaccumulation factors and toxic effects of polychlorinated biphenyls in tuna: A review. Emerging contaminants. 6. 388–395. 11 indexed citations

Li, Jinyuan, Libo Yu, Yushu Li, et al.. (2016). miR-34a and its novel target, NLRC5, are associated with HPV16 persistence. Infection Genetics and Evolution. 44. 293–299. 15 indexed citations

Li, Jinyuan, Yuting Ji, Ming Ren, et al.. (2015). Inconclusive role of human papillomavirus infection in breast cancer. Infectious Agents and Cancer. 10(1). 36–36. 20 indexed citations

10.

Zhang, Xuexin, Wanhai Xu, Jun Su, et al.. (2014). The prosurvival role of autophagy in resveratrol-induced cytotoxicity in GH3 cells. International Journal of Molecular Medicine. 33(4). 987–993. 9 indexed citations

11.

Zhang, Jingwei, Yunyan Zhang, Shuang Liu, et al.. (2013). Metadherin confers chemoresistance of cervical cancer cells by inducing autophagy and activating ERK/NF-κB pathway. Tumor Biology. 34(4). 2433–2440. 36 indexed citations

12.

Wei, Lanlan, et al.. (2013). Interleukin-12 gene adjuvant increases the immunogenicity of virus-like particles of human papillomavirus type 16 regional variant strain. The Brazilian Journal of Infectious Diseases. 18(1). 65–70. 3 indexed citations

13.

Wang, Yan, Jingyuan Li, Jingwei Zhang, et al.. (2013). The Prognostic Value of miR-21 and miR-155 in Non-small-cell Lung Cancer: A Meta-analysis. Japanese Journal of Clinical Oncology. 43(8). 813–820. 47 indexed citations

14.

Chu, Ming. (2011). Contrast of simulation nutrients transport and transformation with pelagic ecosystems of mesocosm in different temperature sections in Xiangshan Bay. JOURNAL OF FISHERIES OF CHINA. 1 indexed citations

15.

Wang, Chao, Zhiqiang Hu, Ming Chu, et al.. (2011). Resveratrol inhibited GH3 cell growth and decreased prolactin level via estrogen receptors. Clinical Neurology and Neurosurgery. 114(3). 241–248. 15 indexed citations

16.

Chu, Ming, et al.. (2011). Study of Printing and Dyeing Wastewater Treatment by Membrane Bioreactor Enhanced by Bio-Ferric. Advanced materials research. 183-185. 1456–1461. 2 indexed citations

17.

Chu, Ming, et al.. (2007). Bilateral acoustic neurinomas presenting as subarachnoid hemorrhage: case report. Chinese Medical Journal. 120(1). 83–84. 5 indexed citations

18.

Chu, Ming. (2006). Analysis of fertilizer application on grain crops in Shandong province. Turang feiliao. 1 indexed citations

19.

Yu, Songyu, et al.. (1998). Design and implementation of HDTV source decoder. IEEE Transactions on Consumer Electronics. 44(2). 384–387. 6 indexed citations

20.

Saroff, Jack, Rashad Y. Kirdani, Ming Chu, Zew Wajsman, & Gerald P. Murphy. (1980). Measurements of Prolactin and Androgens in Patients with Prostatic Diseases. Oncology. 37(1). 46–52. 44 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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