Muzhi Yang

1.4k total citations · 1 hit paper
8 papers, 943 citations indexed

About

Muzhi Yang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muzhi Yang has authored 8 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 2 papers in Experimental and Cognitive Psychology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muzhi Yang's work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (3 papers) and Mental Health Research Topics (2 papers). Muzhi Yang is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (3 papers) and Mental Health Research Topics (2 papers). Muzhi Yang collaborates with scholars based in United States and China. Muzhi Yang's co-authors include Danielle S. Bassett, Nicholas F. Wymbs, Scott T. Grafton, Shi Gu, Theodore D. Satterthwaite, Raquel E. Gur, John D. Medaglia, Ruben C. Gur, Zhen Ma and Gao‐Jun Teng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and PLoS Biology.

In The Last Decade

Muzhi Yang

7 papers receiving 929 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.

Learning-induced autonomy of sensorimotor systems

2015 409 citations Danielle S. Bassett, Muzhi Yang et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muzhi Yang United States	6	801	237	187	96	49	8	943
Ameera X. Patel United Kingdom	13	923 1.2×	375 1.6×	203 1.1×	98 1.0×	75 1.5×	20	1.2k
Benjamin A. Seitzman United States	13	982 1.2×	353 1.5×	161 0.9×	81 0.8×	41 0.8×	18	1.1k
Maxwell A. Bertolero United States	11	980 1.2×	320 1.4×	177 0.9×	89 0.9×	112 2.3×	20	1.2k
Qixiang Lin China	17	824 1.0×	397 1.7×	129 0.7×	150 1.6×	38 0.8×	29	1.0k
Haoxin Sun United States	5	1.0k 1.3×	389 1.6×	184 1.0×	73 0.8×	50 1.0×	8	1.1k
Takuya Ito United States	17	1.2k 1.5×	282 1.2×	227 1.2×	70 0.7×	52 1.1×	22	1.3k
Annie L. Nguyen United States	4	954 1.2×	437 1.8×	175 0.9×	78 0.8×	44 0.9×	4	1.1k
Hamdi Eryilmaz United States	13	453 0.6×	140 0.6×	128 0.7×	69 0.7×	44 0.9×	24	682
Dillan J. Newbold United States	6	869 1.1×	329 1.4×	150 0.8×	62 0.6×	100 2.0×	10	1.0k

Countries citing papers authored by Muzhi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Muzhi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muzhi Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Yang, Muzhi, et al.. (2025). Study on Large‐Scale Brain Network Abnormalities in Patients With Beta‐Thalassemia. Brain and Behavior. 15(6). e70614–e70614.

2.

Yang, Muzhi, et al.. (2022). Transgenic Maize Has Insignificant Effects on the Diversity of Arthropods: A 3-Year Study. Plants. 11(17). 2254–2254. 1 indexed citations

3.

Murphy, Andrew C., et al.. (2018). Structure, function, and control of the human musculoskeletal network. PLoS Biology. 16(1). e2002811–e2002811. 48 indexed citations

4.

Gu, Shi, Muzhi Yang, John D. Medaglia, et al.. (2017). Functional hypergraph uncovers novel covariant structures over neurodevelopment. Human Brain Mapping. 38(8). 3823–3835. 30 indexed citations

5.

Bassett, Danielle S., Muzhi Yang, Nicholas F. Wymbs, & Scott T. Grafton. (2015). Learning-induced autonomy of sensorimotor systems. Nature Neuroscience. 18(5). 744–751. 409 indexed citations breakdown →

6.

Gu, Shi, Theodore D. Satterthwaite, John D. Medaglia, et al.. (2015). Emergence of system roles in normative neurodevelopment. Proceedings of the National Academy of Sciences. 112(44). 13681–13686. 233 indexed citations

7.

Zhang, Hao, Songjie Wang, Juan Xing, et al.. (2008). Detection of PCC functional connectivity characteristics in resting-state fMRI in mild Alzheimer’s disease. Behavioural Brain Research. 197(1). 103–108. 208 indexed citations

8.

Edwards, Kimberly J., et al.. (2003). Analysis of Continuous-Wave Obturation Using a Single-cone and Hybrid Technique. Journal of Endodontics. 29(8). 509–512. 14 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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