Muxun Zhang

2.1k citations
39 papers · 1.6k indexed · 1 hit paper · h-index 21
Topics
Pancreatic function and diabetes (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Alzheimer's disease research and treatments (5 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Muxun Zhang

39 papers receiving 1.6k citations

Hit Papers

Clinical usefulness of lipid ratios, visceral adiposity i...20142026201820222014100200300400

Peers

Muxun Zhang
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 705
  • Molecular Biology 416
  • Epidemiology 400
  • Physiology 346
  • Cardiology and Cardiovascular Medicine 343
Replace Sachiko Hattori with:
Sachiko Hattori Japan
Shojiro Sawada Japan
Guijun Qin China
Takeshi Kanda Japan
Hirobumi Tokuyama Japan
Karla B Neves United Kingdom
Teemu Kuulasmaa Finland
Jee‐Young Han South Korea
Jan M. Williams United States
Stephan Schiekofer Germany
Muxun Zhang relative to Sachiko Hattori Japan Sachiko Hattori's profile →
Citations per field
00.5×1.5×2.4×
Sachiko Hattori · 1×
Citations per year

Countries citing papers authored by Muxun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Muxun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muxun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Muxun Zhang. A scholar is included among the top collaborators of Muxun Zhang 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 Muxun Zhang. Muxun Zhang 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
#WorkIndexed citations
1 41
2 14
3 18
4 22
5 9
6 71
7 12
8 114
9 40
10 56
11 82
12 13
13 29
14 24
15 3
16 6
17 33
18 58
19 2
20
Alzheimer--like hyperphosphorylation of Tau in brains of rats with obesity and type 2 diabetes
7

About Muxun Zhang

Muxun Zhang is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Biological Psychiatry, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (705 citations), Cardiology and Cardiovascular Medicine (343 citations) and Physiology (346 citations). Muxun Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xuefeng Yu, Xinrong Zhou, Gang Yuan, Tingting Du, Xingxing Sun, Yan Yang, Shiying Shao, Shuhong Hu, Anyu Tao and Renfan Xu. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Brain Research.

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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