Ming Shen

1.5k total citations
52 papers, 944 citations indexed

About

Ming Shen is a scholar working on Molecular Biology, Clinical Biochemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ming Shen has authored 52 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Clinical Biochemistry and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ming Shen's work include Metabolism and Genetic Disorders (10 papers), Cardiovascular Function and Risk Factors (7 papers) and Mitochondrial Function and Pathology (5 papers). Ming Shen is often cited by papers focused on Metabolism and Genetic Disorders (10 papers), Cardiovascular Function and Risk Factors (7 papers) and Mitochondrial Function and Pathology (5 papers). Ming Shen collaborates with scholars based in China, United States and Macao. Ming Shen's co-authors include Mary B. Wagner, Wan‐Ke Zhang, Jin‐Song Zhang, Biao Ma, Zhimin Wang, Shou‐Yi Chen, Rong Jiang, Guoliang Ding, Xiao‐Hua Bian and Wei Wei and has published in prestigious journals such as Circulation Research, Hepatology and Water Research.

In The Last Decade

Ming Shen

48 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Shen China 16 412 300 136 100 68 52 944
Magdalena Łuczak Poland 20 466 1.1× 157 0.5× 50 0.4× 31 0.3× 30 0.4× 49 878
Nozomu Takahashi Japan 19 741 1.8× 450 1.5× 72 0.5× 46 0.5× 39 0.6× 49 1.4k
Xuejing Liu China 17 346 0.8× 114 0.4× 70 0.5× 52 0.5× 40 0.6× 55 878
Gustavo Yannarelli Argentina 20 683 1.7× 569 1.9× 286 2.1× 96 1.0× 14 0.2× 50 1.5k
Valérie Nicolas-Francès France 17 490 1.2× 153 0.5× 52 0.4× 30 0.3× 33 0.5× 38 828
Rinku Pal United States 18 605 1.5× 33 0.1× 303 2.2× 61 0.6× 33 0.5× 32 1.4k
Aiqin Cao United States 20 563 1.4× 269 0.9× 257 1.9× 267 2.7× 41 0.6× 23 1.6k
Yuan-Tao Liu China 15 272 0.7× 54 0.2× 64 0.5× 42 0.4× 42 0.6× 47 794
Xiao Ke China 17 648 1.6× 28 0.1× 65 0.5× 92 0.9× 31 0.5× 53 1.1k

Countries citing papers authored by Ming Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ming Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Shen. A scholar is included among the top collaborators of Ming Shen 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 Shen. Ming Shen 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.
Xue, Kun, Ronghua Ma, Menghua Wang, et al.. (2025). A state-of-art algorithm to retrieve particulate organic carbon concentration in optically complex waters via multiple satellite missions. Remote Sensing of Environment. 329. 114914–114914.
2.
Hwang, Boeun, et al.. (2024). FSTL-1 loaded 3D bioprinted vascular patch regenerates the ischemic heart tissue. iScience. 27(10). 110770–110770. 4 indexed citations
3.
Chen, Yu, Wen-Ke Cai, Jie Yu, et al.. (2024). Integrated analysis of differentially expressed genes and miRNA expression profiles in dilated cardiomyopathy. Heliyon. 10(4). e25569–e25569. 1 indexed citations
4.
Xue, Kun, Ronghua Ma, Ming Shen, et al.. (2023). Horizontal and vertical migration of cyanobacterial blooms in two eutrophic lakes observed from the GOCI satellite. Water Research. 240. 120099–120099. 24 indexed citations
5.
Liu, Feng, Chao Song, Ming Shen, et al.. (2023). Development, External Validation, and Visualization of Machine Learning Models for Predicting Occurrence of Acute Kidney Injury after Cardiac Surgery. Reviews in Cardiovascular Medicine. 24(8). 229–229. 6 indexed citations
6.
Li, Jun, Di Zhang, Kan Chen, et al.. (2022). Colorectal Sessile Serrated Lesion Detection Using Linked Color Imaging: A Multicenter, Parallel Randomized Controlled Trial. Clinical Gastroenterology and Hepatology. 21(2). 328–336.e2. 16 indexed citations
7.
Li, Wenya, et al.. (2021). TMEM116 is required for lung cancer cell motility and metastasis through PDK1 signaling pathway. Cell Death and Disease. 12(12). 1086–1086. 16 indexed citations
8.
Xu, Xiaojing, et al.. (2021). Case Report: De novo KLHL24 Gene Pathogenic Variants in Chinese Twin Boys With Epidermolysis Bullosa Simplex. Frontiers in Genetics. 12. 729628–729628. 3 indexed citations
9.
Zhang, Hongliang, Jinliang Wang, Junyan Zhang, et al.. (2021). Identification of the Signature Associated With m6A RNA Methylation Regulators and m6A-Related Genes and Construction of the Risk Score for Prognostication in Early-Stage Lung Adenocarcinoma. Frontiers in Genetics. 12. 656114–656114. 12 indexed citations
10.
Yin, Chengliang, Junyan Zhang, Ming Shen, et al.. (2020). Matrix Metallopeptidase 14: A Candidate Prognostic Biomarker for Diffuse Large B-Cell Lymphoma. Frontiers in Oncology. 10. 1520–1520. 6 indexed citations
11.
Li, Yanhan, Ming Shen, Ying Jin, et al.. (2019). Eight novel mutations detected from eight Chinese patients with isovaleric acidemia. Clinica Chimica Acta. 498. 116–121. 4 indexed citations
12.
Li, Qingtian, Xiang Lu, Qingxin Song, et al.. (2017). Selection for a Zinc-Finger Protein Contributes to Seed Oil Increase during Soybean Domestication. PLANT PHYSIOLOGY. 173(4). 2208–2224. 81 indexed citations
13.
Shen, Ming, et al.. (2017). Reduced bone mineral density in Chinese children with phenylketonuria. Journal of Pediatric Endocrinology and Metabolism. 30(6). 651–656. 7 indexed citations
14.
Qin, Xulei, Silun Wang, Ming Shen, et al.. (2015). Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9415. 94152M–94152M. 3 indexed citations
15.
Qin, Xulei, Silun Wang, Ming Shen, et al.. (2015). Simulating cardiac ultrasound image based on MR diffusion tensor imaging. Medical Physics. 42(9). 5144–5156. 6 indexed citations
16.
Song, Xiang, Xiaoqian Qian, Ming Shen, et al.. (2014). Protein kinase C promotes cardiac fibrosis and heart failure by modulating galectin-3 expression. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(2). 513–521. 66 indexed citations
17.
Qin, Xulei, Silun Wang, Ming Shen, et al.. (2014). Mapping cardiac fiber orientations from high-resolution DTI to high-frequency 3D ultrasound. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9036. 90361O–90361O. 13 indexed citations
18.
Qin, Xulei, Rong Jiang, Ming Shen, et al.. (2013). Extracting cardiac myofiber orientations from high frequency ultrasound images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8675. 867507–867507. 12 indexed citations
19.
Wiegerinck, Rob F., Guoliang Ding, Ming Shen, et al.. (2009). Force Frequency Relationship of the Human Ventricle Increases During Early Postnatal Development. Pediatric Research. 65(4). 414–419. 66 indexed citations
20.
Ding, Guoliang, et al.. (2008). Dopamine increases L-type calcium current more in newborn than adult rabbit cardiomyocytes via D1 and β2 receptors. American Journal of Physiology-Heart and Circulatory Physiology. 294(5). H2327–H2335. 13 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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