Ming Zhou

5.5k total citations · 1 hit paper
170 papers, 2.7k citations indexed

About

Ming Zhou is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ming Zhou has authored 170 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Epidemiology, 42 papers in Endocrinology, Diabetes and Metabolism and 31 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ming Zhou's work include Nutritional Studies and Diet (26 papers), Liver Disease Diagnosis and Treatment (25 papers) and Diet, Metabolism, and Disease (17 papers). Ming Zhou is often cited by papers focused on Nutritional Studies and Diet (26 papers), Liver Disease Diagnosis and Treatment (25 papers) and Diet, Metabolism, and Disease (17 papers). Ming Zhou collaborates with scholars based in China, United States and Germany. Ming Zhou's co-authors include Kaijun Niu, Shaomei Sun, Li Liu, Kun Song, Yeqing Gu, Ge Meng, Hongmei Wu, Xue Bao, Qiyu Jia and Piu Chan and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Ming Zhou

159 papers receiving 2.7k citations

Hit Papers

The neutrophil–lymphocyte ratio as a risk factor for all-... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Zhou China 30 681 573 505 432 327 170 2.7k
Karina Braga Gomes Brazil 31 355 0.5× 431 0.8× 580 1.1× 850 2.0× 294 0.9× 194 3.8k
Jie Ding China 33 459 0.7× 256 0.4× 331 0.7× 738 1.7× 153 0.5× 165 3.9k
Dongmei Liu China 31 367 0.5× 298 0.5× 501 1.0× 704 1.6× 215 0.7× 171 3.1k
Hui Pan China 33 503 0.7× 703 1.2× 588 1.2× 1.0k 2.3× 225 0.7× 267 3.9k
Nam Hoon Kim South Korea 31 639 0.9× 991 1.7× 814 1.6× 513 1.2× 382 1.2× 185 3.3k
Chien‐Te Lee Taiwan 35 368 0.5× 333 0.6× 433 0.9× 701 1.6× 182 0.6× 173 3.4k
Gerald Liew Australia 51 642 0.9× 453 0.8× 319 0.6× 1.6k 3.7× 333 1.0× 206 9.2k
Kristine E. Lee United States 45 1.4k 2.0× 735 1.3× 425 0.8× 1.2k 2.7× 309 0.9× 123 6.9k
Jong Chul Won South Korea 30 508 0.7× 838 1.5× 1.1k 2.1× 891 2.1× 174 0.5× 83 3.0k
Niall Anderson United Kingdom 34 807 1.2× 826 1.4× 321 0.6× 552 1.3× 158 0.5× 84 3.5k

Countries citing papers authored by Ming Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhou. A scholar is included among the top collaborators of Ming Zhou 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 Zhou. Ming Zhou 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.
Zhou, Ming, Hao Yu, Rui Zhou, et al.. (2024). CircFAM64A(3) promoted bladder cancer proliferation and inhibited CD8 + T cell via sponging to miR-149-5p and activated IL-6/JAK/STAT pathway. International Immunopharmacology. 145. 113762–113762. 2 indexed citations
2.
Chang, Qing, Yixiao Zhang, Tingjing Zhang, et al.. (2024). Healthy Lifestyle and the Risk of Metabolic Dysfunction-Associated Fatty Liver Disease: A Large Prospective Cohort Study. Diabetes & Metabolism Journal. 48(5). 971–982. 7 indexed citations
3.
4.
Xu, Shilin, et al.. (2023). The neutrophil–lymphocyte ratio as a risk factor for all-cause and cardiovascular mortality among individuals with diabetes: evidence from the NHANES 2003–2016. Cardiovascular Diabetology. 22(1). 267–267. 79 indexed citations breakdown →
5.
Liu, Jun, et al.. (2023). Analysis of the Risk Factors for Free Flap Necrosis in Soft Tissue Reconstruction of the Lower Limbs. Orthopaedic Surgery. 15(6). 1534–1540. 7 indexed citations
6.
Qian, Ke, Ming Zhou, Xinxin Yan, et al.. (2023). Exogenous NADPH exerts a positive inotropic effect and enhances energy metabolism via SIRT3 in pathological cardiac hypertrophy and heart failure. EBioMedicine. 98. 104863–104863. 24 indexed citations
7.
Chang, Qing, Yixiao Zhang, Tingjing Zhang, et al.. (2022). Healthy Lifestyle and the Risk of Metabolic Dysfunction–Associated Fatty Liver Disease: A Large Prospective Cohort Study. SSRN Electronic Journal. 2 indexed citations
8.
Zheng, Mengmeng, et al.. (2022). Worsening hearing was associated with higher β-amyloid and tau burden in age-related hearing loss. Scientific Reports. 12(1). 10493–10493. 28 indexed citations
9.
Wang, Yawen, Yeqing Gu, Jian Huang, et al.. (2022). Serum vitamin D status and circulating irisin levels in older adults with sarcopenia. Frontiers in Nutrition. 9. 1051870–1051870. 13 indexed citations
10.
Xia, Yang, Limin Cao, Qing Zhang, et al.. (2021). Adherence to a vegetable dietary pattern attenuates the risk of non‐alcoholic fatty liver disease in incident type 2 diabetes: The TCLSIH cohort study. Journal of Internal Medicine. 291(4). 469–480. 8 indexed citations
11.
Li, Huiping, Xuena Wang, Shunming Zhang, et al.. (2021). Does a high intake of green leafy vegetables protect from NAFLD? Evidence from a large population study. Nutrition Metabolism and Cardiovascular Diseases. 31(6). 1691–1701. 18 indexed citations
12.
Xia, Yang, Yashu Liu, Shunming Zhang, et al.. (2020). Associations between different types and sources of dietary fibre intake and depressive symptoms in a general population of adults: a cross-sectional study. British Journal Of Nutrition. 125(11). 1281–1290. 9 indexed citations
14.
Tokarska, Anna, Ming Zhou, Kwang Lee, et al.. (2020). Polysynaptic inhibition between striatal cholinergic interneurons shapes their network activity patterns in a dopamine-dependent manner. Nature Communications. 11(1). 5113–5113. 43 indexed citations
15.
Zhou, Ming, et al.. (2020). Curettage through a wide cortical window for treatment of a primary aneurysmal bone cyst of the patella. Journal of International Medical Research. 48(8). 1220747462–1220747462. 1 indexed citations
16.
Khushalani, Nikhil I., Adi Diab, Paolo A. Ascierto, et al.. (2020). Bempegaldesleukin plus nivolumab in untreated, unresectable or metastatic melanoma: Phase III PIVOT IO 001 study design. Future Oncology. 16(28). 2165–2175. 17 indexed citations
18.
Liu, Xing, Qing Zhang, Hongmei Wu, et al.. (2015). Blood Neutrophil to Lymphocyte Ratio as a Predictor of Hypertension. American Journal of Hypertension. 28(11). 1339–1346. 128 indexed citations
19.
Zhou, Ming, et al.. (2014). Individual influencing factors of the normal adult kidney size. 8(4). 264–267. 1 indexed citations
20.
Shao, Yongzhao & Ming Zhou. (2010). A characterization of multivariate normality through univariate projections. Journal of Multivariate Analysis. 101(10). 2637–2640. 11 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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