M. C. Chu

39.8k total citations
107 papers, 1.7k citations indexed

About

M. C. Chu is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. C. Chu has authored 107 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Astronomy and Astrophysics, 51 papers in Nuclear and High Energy Physics and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. C. Chu's work include Cosmology and Gravitation Theories (28 papers), Particle physics theoretical and experimental studies (21 papers) and Quantum Chromodynamics and Particle Interactions (20 papers). M. C. Chu is often cited by papers focused on Cosmology and Gravitation Theories (28 papers), Particle physics theoretical and experimental studies (21 papers) and Quantum Chromodynamics and Particle Interactions (20 papers). M. C. Chu collaborates with scholars based in Hong Kong, United States and China. M. C. Chu's co-authors include Lap-Ming Lin, Shing-Chi Leung, Suzhou Huang, John Negele, J. Grandy, Baojiu Li, Tetsuo Matsui, H. Friedrich, Kwan Chuen Chan and Vasyl Yurchyshyn and has published in prestigious journals such as Physical Review Letters, Nature Medicine and Journal of Geophysical Research Atmospheres.

In The Last Decade

M. C. Chu

100 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. C. Chu Hong Kong 23 956 895 249 114 86 107 1.7k
Stanislav Boldyrev United States 30 521 0.5× 2.7k 3.0× 86 0.3× 158 1.4× 65 0.8× 87 2.9k
S. Servidio Italy 33 669 0.7× 3.3k 3.6× 85 0.3× 123 1.1× 80 0.9× 117 3.5k
Brian Mason United States 20 771 0.8× 1.5k 1.6× 69 0.3× 234 2.1× 70 0.8× 69 1.8k
A. Mangeney France 28 801 0.8× 2.8k 3.1× 360 1.4× 97 0.9× 88 1.0× 80 3.1k
P. Dmitruk United States 37 519 0.5× 3.5k 4.0× 66 0.3× 184 1.6× 90 1.0× 94 3.9k
Thierry Dudok de Wit France 29 465 0.5× 1.8k 2.0× 118 0.5× 407 3.6× 82 1.0× 125 2.4k
Rony Keppens Belgium 39 1.3k 1.3× 4.7k 5.3× 174 0.7× 218 1.9× 62 0.7× 249 5.2k
K. Kusano Japan 27 500 0.5× 2.5k 2.8× 67 0.3× 211 1.9× 41 0.5× 119 3.0k
Mikhail V. Medvedev United States 21 1.5k 1.5× 1.8k 2.0× 346 1.4× 76 0.7× 51 0.6× 93 2.4k
P.J. Morrison United States 18 471 0.5× 415 0.5× 243 1.0× 63 0.6× 404 4.7× 37 1.0k

Countries citing papers authored by M. C. Chu

Since Specialization
Citations

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

Fields of papers citing papers by M. C. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. Chu. 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 M. C. Chu. The network helps show where M. C. Chu may publish in the future.

Co-authorship network of co-authors of M. C. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. Chu. A scholar is included among the top collaborators of M. C. Chu 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 M. C. Chu. M. C. Chu 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.
Chu, M. C., Shimeng Zhang, Jinlong Gong, et al.. (2025). Telemedicine-based integrated management of atrial fibrillation in village clinics: a cluster randomized trial. Nature Medicine. 31(4). 1276–1285. 9 indexed citations
2.
Zha, Shuai, et al.. (2025). Phase-transition-induced Collapse of Proto-compact Stars and Its Implication for Supernova Explosions. The Astrophysical Journal. 979(2). 151–151. 6 indexed citations
3.
Yarbro, Jay M., Him K. Shrestha, Zhen Wang, et al.. (2025). Proteomic landscape of Alzheimer’s disease: emerging technologies, advances and insights (2021 – 2025). Molecular Neurodegeneration. 20(1). 83–83. 2 indexed citations
4.
Wang, Yaqi, Zhe Xu, Sha Zhu, et al.. (2025). MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment. Scientific Data. 12(1). 911–911.
5.
Chu, M. C., et al.. (2024). Dynamic evaluation of China's atmospheric environmental pressure from 2008 to 2017: Trends and drivers. Journal of Environmental Sciences. 150. 177–187. 3 indexed citations
6.
Tong, Yingying, Lin Wang, Jia Zhou, et al.. (2024). Protection against myocardial ischemia/reperfusion injury in mice by 3-caffeoylquinic acid isomers isolated from Saxifraga tangutica. RSC Advances. 14(10). 6642–6655. 7 indexed citations
7.
Li, Mingfang, M. C. Chu, Shimeng Zhang, et al.. (2024). Is it high time to leave the chronic disease care of rural older people to village doctors in China: Insights from a population-based atrial fibrillation screening study. Current Problems in Cardiology. 49(10). 102759–102759. 2 indexed citations
8.
Zhang, Lei, et al.. (2024). CO2 emissions associated with China's real estate development: 2000–2020. Journal of Environmental Sciences. 156. 495–505. 1 indexed citations
9.
Xu, Bin, et al.. (2023). Management of SARS-CoV-2 Omicron Variant Community Screenings in Shanghai, China: A Cross-Sectional Study. Risk Management and Healthcare Policy. Volume 16. 111–120. 1 indexed citations
10.
Chu, M. C., et al.. (2023). Accretion-induced Collapse of Dark Matter-admixed Rotating White Dwarfs: Dynamics and Gravitational-wave Signals. The Astrophysical Journal. 945(2). 133–133. 5 indexed citations
11.
Li, Yao, et al.. (2023). A meta-analysis on the prevalence of Charcot–Marie–Tooth disease and related inherited peripheral neuropathies. Journal of Neurology. 270(5). 2468–2482. 21 indexed citations
12.
Chu, M. C., et al.. (2023). R-process Nucleosynthesis of Subminimal Neutron Star Explosions. The Astrophysical Journal. 956(2). 115–115. 2 indexed citations
14.
Chu, M. C., et al.. (2022). Dark Matter–admixed Rotating White Dwarfs as Peculiar Compact Objects. The Astrophysical Journal. 941(2). 115–115. 4 indexed citations
15.
Zha, Shuai, Evan O’Connor, M. C. Chu, Lap-Ming Lin, & Sean M. Couch. (2020). Gravitational-wave Signature of a First-order Quantum Chromodynamics Phase Transition in Core-Collapse Supernovae. Physical Review Letters. 125(5). 51102–51102. 34 indexed citations
16.
Leung, Shing-Chi, Shuai Zha, M. C. Chu, Lap-Ming Lin, & K. Nomoto. (2019). Accretion-induced Collapse of Dark Matter Admixed White Dwarfs. I. Formation of Low-mass Neutron Stars. The Astrophysical Journal. 884(1). 9–9. 18 indexed citations
17.
Zhang, Jiajun, et al.. (2017). Is Fuzzy Dark Matter in tension with Lyman-alpha forest?. arXiv (Cornell University). 2 indexed citations
18.
Zhang, Jiajun, et al.. (2017). New leaves of the tree: percolation analysis for cosmic web with discrete points. arXiv (Cornell University). 4 indexed citations
19.
Su, Chien‐Tien, Ruey-Yu Chen, Ching‐Ying Yeh, et al.. (2015). Association Between Organization Culture, Health Status, and Presenteeism. Journal of Occupational and Environmental Medicine. 57(7). 765–771. 10 indexed citations
20.
Chu, M. C., Yuedan Wang, Yan Hu, et al.. (2013). Effects of epithelial cell injury of the lower respiratory tract in the pathogenesis of allergic responses in a rat model. Chinese Medical Journal. 126(1). 72–77. 2 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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