Ming Bai

1.7k total citations · 1 hit paper
39 papers, 1.2k citations indexed

About

Ming Bai is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Ming Bai has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Ming Bai's work include Acute Myocardial Infarction Research (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Parathyroid Disorders and Treatments (4 papers). Ming Bai is often cited by papers focused on Acute Myocardial Infarction Research (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Parathyroid Disorders and Treatments (4 papers). Ming Bai collaborates with scholars based in China, United States and United Kingdom. Ming Bai's co-authors include Simon H. S. Pearce, Rajesh V. Thakker, Olga Kifor, Zheng Zhang, Stephen Quinn, Paul Freimuth, Laura Campisi, Edward M. Brown, Sweety Trivedi and Xiaowei Niu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ming Bai

35 papers receiving 1.2k citations

Hit Papers

Adipocyte‐Derived Exosomal MTTP Suppresses Ferroptosis an... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Bai China 17 555 271 188 170 160 39 1.2k
Guijun Qin China 24 553 1.0× 208 0.8× 192 1.0× 73 0.4× 159 1.0× 88 1.7k
Qiaoling Zhou China 24 705 1.3× 539 2.0× 109 0.6× 309 1.8× 116 0.7× 90 1.7k
Mi Ra Yu South Korea 24 887 1.6× 586 2.2× 193 1.0× 183 1.1× 153 1.0× 41 2.1k
Honglian Wang China 21 676 1.2× 223 0.8× 203 1.1× 131 0.8× 77 0.5× 73 1.3k
Chenlin Gao China 25 905 1.6× 191 0.7× 121 0.6× 74 0.4× 87 0.5× 50 1.8k
Lan Li China 18 526 0.9× 107 0.4× 146 0.8× 224 1.3× 184 1.1× 59 1.6k
Song‐Yang Zhang China 21 754 1.4× 104 0.4× 216 1.1× 110 0.6× 208 1.3× 32 1.6k
Xian Wang China 19 385 0.7× 127 0.5× 116 0.6× 212 1.2× 97 0.6× 77 1.4k
Can Wang China 21 550 1.0× 100 0.4× 221 1.2× 143 0.8× 119 0.7× 81 1.3k

Countries citing papers authored by Ming Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ming Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Bai. A scholar is included among the top collaborators of Ming Bai 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 Bai. Ming Bai 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.
Xing, Eric P., Jing Zhao, Fengmei Chen, et al.. (2025). Myocardial flow reserve derived from D-SPECT for evaluating non-culprit ischemic lesions in STEMI patients: comparison with quantitative flow ratio. European Journal of Nuclear Medicine and Molecular Imaging. 52(11). 4242–4255.
2.
Li, Jie, Hui Zhao, Shuo Tian, et al.. (2025). The microglial state transition as a novel mechanism by which fresh Baihe Dihuang decoction prevents depression by regulating SIRT1/HMGB1 signaling. Phytomedicine. 141. 156718–156718. 2 indexed citations
4.
Han, Lijun, Xue-Song Wu, Junjie Zhu, et al.. (2023). Study on Microstructures and Properties of the Al. Alloy Vacuum Die-Cast Parts of TL117 and C611. Journal of Physics Conference Series. 2468(1). 12111–12111. 1 indexed citations
5.
Bai, Ming, et al.. (2023). Insights into research on myocardial ischemia/reperfusion injury from 2012 to 2021: a bibliometric analysis. European journal of medical research. 28(1). 17–17. 18 indexed citations
6.
Li, Shuo, et al.. (2023). Exploration of Influencing Factors for Postoperative Recurrence in Patients with Madelung’s Disease on the Basis of Multivariate Stepwise Cox Regression Analysis. Clinical Cosmetic and Investigational Dermatology. Volume 16. 103–110. 3 indexed citations
7.
Bai, Ming, Yu Peng, Zixian Chen, et al.. (2023). Identification and functional analysis of a novel de novo missense mutation located in the initiation codon of LAMP2 associated with early onset female Danon disease. Molecular Genetics & Genomic Medicine. 11(9). e2216–e2216. 4 indexed citations
8.
Wang, Shuping, et al.. (2023). Causal inference of sex hormone-binding globulin on venous thromboembolism: evidence from Mendelian randomisation. Thrombosis Journal. 21(1). 109–109. 1 indexed citations
9.
Niu, Xiaowei, et al.. (2023). Unexplained Left Ventricular Hypertrophy Diagnosed as a Cardiac Variant of Late-Onset Fabry Disease: A Case Report. Journal of Cardiovascular Development and Disease. 10(9). 389–389.
10.
Zhang, Qiumo, Ting Deng, Hongdian Zhang, et al.. (2022). Adipocyte‐Derived Exosomal MTTP Suppresses Ferroptosis and Promotes Chemoresistance in Colorectal Cancer. Advanced Science. 9(28). e2203357–e2203357. 155 indexed citations breakdown →
12.
Zhao, Xinke, Rongcheng Zhang, Kai Liu, et al.. (2021). Combined use of low T3 syndrome and NT-proBNP as predictors for death in patients with acute decompensated heart failure. BMC Endocrine Disorders. 21(1). 140–140. 6 indexed citations
13.
Yang, Yuchong, Xuanzhang Huang, Likun Zhou, et al.. (2019). Clinical use of tumor biomarkers in prediction for prognosis and chemotherapeutic effect in esophageal squamous cell carcinoma. BMC Cancer. 19(1). 526–526. 48 indexed citations
14.
Wu, Tingting, Xuan Wu, Ming Bai, et al.. (2019). Association between particulate matter air pollution and cardiovascular disease mortality in Lanzhou, China. Environmental Science and Pollution Research. 26(15). 15262–15272. 46 indexed citations
15.
Zhang, Jing, Chengyu Liu, Ming Bai, et al.. (2016). Effect of multiple clinical factors on recurrent angina after percutaneous coronary intervention. Medicine. 95(41). e5015–e5015. 4 indexed citations
16.
Chen, Manli, Zheng Zhang, Ming Bai, & Qiang Li. (2010). Influence of the risk factors of coronary heart disease on the prognosis of percutaneons coronary interventions. 26(2). 144–147. 1 indexed citations
17.
Bai, Ming. (2007). Contraception measures trend among married woman aged child-bearing. Zhongguo fuyou baojian. 1 indexed citations
19.
Bai, Ming, Natasa Janicic, Sweety Trivedi, et al.. (1997). Markedly reduced activity of mutant calcium-sensing receptor with an inserted Alu element from a kindred with familial hypocalciuric hypercalcemia and neonatal severe hyperparathyroidism.. Journal of Clinical Investigation. 99(8). 1917–1925. 73 indexed citations
20.
Pearce, Simon H. S., Ming Bai, Stephen Quinn, et al.. (1996). Functional characterization of calcium-sensing receptor mutations expressed in human embryonic kidney cells.. Journal of Clinical Investigation. 98(8). 1860–1866. 141 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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