Minxian Wang

4.9k total citations · 4 hit papers
49 papers, 1.8k citations indexed

About

Minxian Wang is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Minxian Wang has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Cardiology and Cardiovascular Medicine and 10 papers in Epidemiology. Recurrent topics in Minxian Wang's work include Genetic Associations and Epidemiology (9 papers), Liver Disease Diagnosis and Treatment (9 papers) and Renal Diseases and Glomerulopathies (6 papers). Minxian Wang is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Liver Disease Diagnosis and Treatment (9 papers) and Renal Diseases and Glomerulopathies (6 papers). Minxian Wang collaborates with scholars based in China, United States and Canada. Minxian Wang's co-authors include Amit V. Khera, Patrick T. Ellinor, Sekar Kathiresan, Kenney Ng, Aniruddh P. Patel, James P. Pirruccello, Krishna G. Aragam, Anthony Philippakis, Mary E. Haas and Connor A. Emdin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Minxian Wang

44 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lp(a) (Lipoprotein[a]) Concentrations and Incident Atherosclerotic Cardiovascular Disease

2020 295 citations Aniruddh P. Patel, Minxian Wang et al. Arteriosclerosis Thrombosis and Vascular Biology profile →
Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions

2020 252 citations Akl C. Fahed, Minxian Wang et al. Nature Communications profile →
Association of Habitual Alcohol Intake With Risk of Cardiovascular Disease

2022 232 citations Mary E. Haas, Minxian Wang et al. profile →
A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease

2023 98 citations Aniruddh P. Patel, Minxian Wang et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minxian Wang China	18	503	481	445	299	275	49	1.8k
Claudia Lamina Austria	29	519 1.0×	853 1.8×	251 0.6×	412 1.4×	364 1.3×	108	2.4k
Luca A. Lotta Italy	26	370 0.7×	334 0.7×	496 1.1×	481 1.6×	344 1.3×	67	2.4k
Christopher P. Nelson United Kingdom	26	371 0.7×	208 0.4×	284 0.6×	466 1.6×	173 0.6×	66	2.0k
Ronen Durst Israel	21	494 1.0×	592 1.2×	178 0.4×	316 1.1×	361 1.3×	87	1.8k
Andrea Baragetti Italy	27	417 0.8×	538 1.1×	133 0.3×	453 1.5×	444 1.6×	85	1.9k
Piet Meijer Netherlands	28	379 0.8×	581 1.2×	312 0.7×	269 0.9×	299 1.1×	143	2.7k
Anders Mälarstig Sweden	23	364 0.7×	414 0.9×	441 1.0×	623 2.1×	280 1.0×	52	2.2k
Fen Liu China	21	264 0.5×	276 0.6×	170 0.4×	296 1.0×	377 1.4×	154	1.7k
Daniel I. Swerdlow United Kingdom	13	368 0.7×	581 1.2×	408 0.9×	378 1.3×	304 1.1×	20	1.7k
Takahide Kohro Japan	27	396 0.8×	477 1.0×	141 0.3×	1.1k 3.8×	233 0.8×	88	2.5k

Countries citing papers authored by Minxian Wang

Since Specialization

Citations

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

Fields of papers citing papers by Minxian Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minxian Wang

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

All Works

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20 of 20 papers shown

Qiao, Bokang, et al.. (2025). Benefits of Better Cardiovascular Health for Calcific Aortic Valve Stenosis Stratified by Polygenic Risk Score. Genomics Proteomics & Bioinformatics. 23(5).

Jiang, Hongwei�, Xuan Liu, Shanshan Chen, et al.. (2025). Genotype-Phenotype Discrepancies in Family Members With a Novel Glucokinase Mutation: Insights Into GCK-MODY and Its Interplay With Insulin Resistance. Diabetes. 74(12). 2337–2350. 1 indexed citations

Ji, Qianzhao, Xiaoyu Jiang, Minxian Wang, et al.. (2024). Multimodal Omics Approaches to Aging and Age-Related Diseases. PubMed. 4(1). 56–71. 13 indexed citations

Liu, Hongbing, Bin Li, Xiuli Li, et al.. (2024). The Idesia polycarpa genome provides insights into its evolution and oil biosynthesis. Cell Reports. 43(3). 113909–113909. 10 indexed citations

Ding, Yajie, Wei Zhang, Ru Zhang, et al.. (2023). Epidemiological characteristics of alcohol-related liver disease in China: a systematic review and meta-analysis. BMC Public Health. 23(1). 1276–1276. 6 indexed citations

Patel, Aniruddh P., Minxian Wang, Yunfeng Ruan, et al.. (2023). A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease. Nature Medicine. 29(7). 1793–1803. 98 indexed citations breakdown →

Wang, Minxian, et al.. (2023). Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients. BMC Medical Informatics and Decision Making. 23(1). 244–244. 4 indexed citations

Lang, Konrad, Claire Leroy, Mengmeng Chen, et al.. (2022). Nephrotic Syndrome Gene TBC1D8B Is Required for Endosomal Maturation and Nephrin Endocytosis in Drosophila. Journal of the American Society of Nephrology. 33(12). 2174–2193. 12 indexed citations

Agrawal, Saaket, Minxian Wang, Marcus D. R. Klarqvist, et al.. (2022). Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots. Nature Communications. 13(1). 3771–3771. 75 indexed citations

10.

Haas, Mary E., James P. Pirruccello, Sam Friedman, et al.. (2021). Machine learning enables new insights into genetic contributions to liver fat accumulation. Cell Genomics. 1(3). 100066–100066. 55 indexed citations

11.

Patel, Aniruddh P., Minxian Wang, Uri Kartoun, Kenney Ng, & Amit V. Khera. (2021). Quantifying and Understanding the Higher Risk of Atherosclerotic Cardiovascular Disease Among South Asian Individuals. Circulation. 144(6). 410–422. 101 indexed citations

12.

Wang, Minxian, Vivian S. Lee, Deepak Atri, et al.. (2021). Rare, Damaging DNA Variants in CORIN and Risk of Coronary Artery Disease: Insights From Functional Genomics and Large-Scale Sequencing Analyses. Circulation Genomic and Precision Medicine. 14(5). e003399–e003399. 9 indexed citations

13.

Wang, Minxian, Ru Zhang, Min Wang, et al.. (2021). Genetic Polymorphism of Vitamin D Family Genes CYP2R1, CYP24A1, and CYP27B1 Are Associated With a High Risk of Non-alcoholic Fatty Liver Disease: A Case-Control Study. Frontiers in Genetics. 12. 717533–717533. 12 indexed citations

14.

Pirruccello, James P., Alexander G. Bick, Minxian Wang, et al.. (2020). Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy. Nature Communications. 11(1). 129 indexed citations

15.

Feng, Di, Mukesh Kumar, Jan Muntel, et al.. (2020). Phosphorylation of ACTN4 Leads to Podocyte Vulnerability and Proteinuric Glomerulosclerosis. Journal of the American Society of Nephrology. 31(7). 1479–1495. 22 indexed citations

16.

Patel, Aniruddh P., Minxian Wang, James P. Pirruccello, et al.. (2020). Lp(a) (Lipoprotein[a]) Concentrations and Incident Atherosclerotic Cardiovascular Disease. Arteriosclerosis Thrombosis and Vascular Biology. 41(1). 465–474. 295 indexed citations breakdown →

17.

Fahed, Akl C., Minxian Wang, Julian R. Homburger, et al.. (2020). Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions. Nature Communications. 11(1). 3635–3635. 252 indexed citations breakdown →

18.

Wang, Minxian, Justin Chun, Giulio Genovese, et al.. (2019). Contributions of Rare Gene Variants to Familial and Sporadic FSGS. Journal of the American Society of Nephrology. 30(9). 1625–1640. 35 indexed citations

19.

Feng, Di, Jacob Notbohm, Shijie He, et al.. (2018). Disease-causing mutation in α-actinin-4 promotes podocyte detachment through maladaptation to periodic stretch. Proceedings of the National Academy of Sciences. 115(7). 1517–1522. 43 indexed citations

20.

He, Yungang, Minxian Wang, Xin Huang, et al.. (2015). A probabilistic method for testing and estimating selection differences between populations. Genome Research. 25(12). 1903–1909. 5 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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