Mingzhe Ma

1.1k total citations
25 papers, 860 citations indexed

About

Mingzhe Ma is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mingzhe Ma has authored 25 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Mingzhe Ma's work include Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (6 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). Mingzhe Ma is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (6 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). Mingzhe Ma collaborates with scholars based in China, United States and Canada. Mingzhe Ma's co-authors include Mingzhe Weng, Wei Gong, Mingdi Zhang, Yiyu Qin, Zhiwei Quan, Chunxiao Li, Yan Zhang, Di Zhou, Zhiwei Quan and Shouhua Wang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Nutrients and Molecular Cancer.

In The Last Decade

Mingzhe Ma

25 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingzhe Ma China 16 580 463 122 116 83 25 860
Rina Fujiwara‐Tani Japan 20 447 0.8× 308 0.7× 83 0.7× 173 1.5× 73 0.9× 63 902
Shingo Kishi Japan 20 433 0.7× 297 0.6× 85 0.7× 173 1.5× 73 0.9× 59 902
Kyeong Ah Park South Korea 17 578 1.0× 207 0.4× 55 0.5× 122 1.1× 147 1.8× 28 951
Shiori Mori Japan 19 396 0.7× 255 0.6× 84 0.7× 152 1.3× 64 0.8× 52 802
Prince Jeyabal United States 16 548 0.9× 160 0.3× 64 0.5× 52 0.4× 53 0.6× 19 817
Yan–Xin Chang China 12 355 0.6× 211 0.5× 183 1.5× 81 0.7× 288 3.5× 17 820
Gopinath Prakasam India 12 867 1.5× 619 1.3× 37 0.3× 106 0.9× 57 0.7× 17 1.1k
Myung-Hee Chung South Korea 17 422 0.7× 131 0.3× 64 0.5× 143 1.2× 67 0.8× 25 823
Lei Gong China 15 378 0.7× 129 0.3× 97 0.8× 158 1.4× 70 0.8× 45 700
Tianyu Han China 18 913 1.6× 485 1.0× 49 0.4× 197 1.7× 163 2.0× 48 1.3k

Countries citing papers authored by Mingzhe Ma

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhe Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhe Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhe Ma. A scholar is included among the top collaborators of Mingzhe Ma 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 Mingzhe Ma. Mingzhe Ma 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.
Ma, Mingzhe, Yalong Cong, John Z. H. Zhang, & Lujia Zhang. (2023). Rational Design of a Highly Specific Prolyl Endopeptidase To Activate the Antihypertensive Effect of Peptides. ChemBioChem. 24(8). e202200691–e202200691. 1 indexed citations
2.
Ma, Mingzhe, Yalong Cong, John Z. H. Zhang, & Lujia Zhang. (2023). Cover Feature: Rational Design of a Highly Specific Prolyl Endopeptidase To Activate the Antihypertensive Effect of Peptides (ChemBioChem 8/2023). ChemBioChem. 24(8). 1 indexed citations
4.
Zhang, Mingdi, et al.. (2022). Knockdown of IGF2BP3 inhibits the tumorigenesis of gallbladder cancer and modifies tumor microenvironment. Drug Development Research. 83(8). 1831–1844. 6 indexed citations
5.
Yang, Hui, Xiaocen Liu, Xiaolong Zhu, et al.. (2022). GINS1 promotes the proliferation and migration of glioma cells through USP15-mediated deubiquitination of TOP2A. iScience. 25(9). 104952–104952. 18 indexed citations
6.
Zhang, Lujia, Jinkai Zheng, Mingzhe Ma, et al.. (2021). Drug-guided screening for pancreatic lipase inhibitors in functional foods. Food & Function. 12(10). 4644–4653. 15 indexed citations
7.
Chen, Ruiyao, Bei Gao, Mingzhe Ma, et al.. (2021). Investigation on the characteristics and mechanisms of ACE inhibitory peptides by a thorough analysis of all 8000 tripeptides via binding free energy calculation. Food Science & Nutrition. 9(6). 2943–2953. 26 indexed citations
8.
Dong, Yiwei, et al.. (2021). Study of the G Protein Nucleolar 2 Value in Liver Hepatocellular Carcinoma Treatment and Prognosis. BioMed Research International. 2021(1). 4873678–4873678. 5 indexed citations
9.
Li, Xiaolin, Yalong Cong, Mingzhe Ma, et al.. (2020). An Energy Optimization Strategy Based on the Perfect Conformation of Prolyl Endopeptidase for Improving Catalytic Efficiency. Journal of Agricultural and Food Chemistry. 68(18). 5129–5137. 12 indexed citations
10.
Wang, Shouhua, Yongjie Zhang, Qiang Cai, et al.. (2019). Circular RNA FOXP1 promotes tumor progression and Warburg effect in gallbladder cancer by regulating PKLR expression. Molecular Cancer. 18(1). 145–145. 149 indexed citations
11.
Ma, Mingzhe, Mingzhe Weng, Yiren Hu, et al.. (2019). Systemic inflammation score is a prognostic marker after curative resection in gastric cancer. ANZ Journal of Surgery. 89(4). 377–382. 18 indexed citations
12.
Ma, Mingzhe, et al.. (2018). Prognostic Value of Inflammatory Biomarkers in Gastric Cancer Patients and the Construction of a Predictive Model. Digestive Surgery. 36(5). 433–442. 14 indexed citations
13.
Ma, Mingzhe, Mingzhe Weng, Mingdi Zhang, et al.. (2015). Targeting gallbladder cancer: hyaluronan sensitizes cancer cells to chemo-therapeutics.. PubMed. 8(2). 1822–5. 5 indexed citations
14.
Fu, Binsheng, et al.. (2015). Yes-associated protein (YAP) expression is involved in epithelial–mesenchymal transition in hepatocellular carcinoma. Clinical & Translational Oncology. 18(2). 172–177. 28 indexed citations
15.
Ma, Mingzhe, Xiang Kong, Mingzhe Weng, et al.. (2014). Long non‐coding RNA‐LET is a positive prognostic factor and exhibits tumor‐suppressive activity in gallbladder cancer. Molecular Carcinogenesis. 54(11). 1397–1406. 60 indexed citations
16.
Kong, Xiang, Mingzhe Ma, Yan Zhang, et al.. (2014). Differentiation therapy: sesamin as an effective agent in targeting cancer stem-like side population cells of human gallbladder carcinoma. BMC Complementary and Alternative Medicine. 14(1). 254–254. 30 indexed citations
17.
Weng, Mingzhe, Wei Gong, Mingzhe Ma, et al.. (2014). Targeting gallbladder cancer: oncolytic virotherapy with myxoma virus is enhanced by rapamycin in vitro and further improved by hyaluronan in vivo. Molecular Cancer. 13(1). 82–82. 22 indexed citations
18.
Ma, Mingzhe, Chunxiao Li, Yan Zhang, et al.. (2014). Long non-coding RNA HOTAIR, a c-Myc activated driver of malignancy, negatively regulates miRNA-130a in gallbladder cancer. Molecular Cancer. 13(1). 156–156. 187 indexed citations
19.
Kong, Xiang, Mingzhe Ma, Li Qin, et al.. (2013). Pioglitazone enhances the blood pressure-lowering effect of losartan via synergistic attenuation of angiotensin II-induced vasoconstriction. Journal of the Renin-Angiotensin-Aldosterone System. 15(3). 259–270. 16 indexed citations
20.
Ye, Jinhua, Mingzhe Ma, Dongfeng Cheng, et al.. (2012). Solid‐pseudopapillary tumor of the pancreas: Clinical features, pathological characteristics, and origin. Journal of Surgical Oncology. 106(6). 728–735. 34 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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