Zhen-Yan Fu

2.2k citations
131 papers · 1.7k indexed · h-index 23
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers)Hormonal Regulation and Hypertension (20 papers)Lipoproteins and Cardiovascular Health (19 papers)
Partner nations
ChinaJapanAustralia

In The Last Decade

Zhen-Yan Fu

124 papers receiving 1.7k citations

Peers

Zhen-Yan Fu
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 505
  • Molecular Biology 502
  • Surgery 475
  • Cardiology and Cardiovascular Medicine 455
  • Biochemistry 249
Replace Min‐Ji Charng with:
Min‐Ji Charng Taiwan
James V. Gainer United States
Barbara Gross France
Xizhen Xu China
Allen D. Cooper United States
Annalisa Iezzi Italy
Hideki Hidaka Japan
O. Vesterqvist Sweden
Hideki Shimomura Japan
D Pometta Switzerland
Zhen-Yan Fu relative to Min‐Ji Charng Taiwan Min‐Ji Charng's profile →
Citations per field
00.5×
Min‐Ji Charng · 1×
Citations per year

Countries citing papers authored by Zhen-Yan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhen-Yan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen-Yan Fu. 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 Zhen-Yan Fu. The network helps show where Zhen-Yan Fu may publish in the future.

Co-authorship network of co-authors of Zhen-Yan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen-Yan Fu. A scholar is included among the top collaborators of Zhen-Yan Fu 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 Zhen-Yan Fu. Zhen-Yan Fu 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 8
2 0
3 10
4 2
5 7
6 0
7 1
8 1
9 1
10
[Association between intercellular adhesion molecule-1 K469E polymorphism and coronary heart disease in people with Uygur ethnicity, in Xinjiang].
1
11 12
12 10
13
[Prevalence and associated factors of diabetes mellitus in children of Han, Uigurs and Kazaks ethnicities in Xinjiang].
4
14 18
15 3
16 18
17 15
18 1
19 13
20 26

About Zhen-Yan Fu

Zhen-Yan Fu is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 131 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers), Hormonal Regulation and Hypertension (20 papers) and Lipoproteins and Cardiovascular Health (19 papers). The work is most often cited by research in Biochemistry (249 citations), Endocrinology, Diabetes and Metabolism (505 citations) and Cardiology and Cardiovascular Medicine (455 citations). Zhen-Yan Fu has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Bang‐Dang Chen, Xiang Xie, Yi‐Ning Yang, Yi-Tong Ma, Xiao‐Mei Li, Xiang Ma, Fen Liu, Ying‐Ying Zheng, Ding Huang and Yitong Ma. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature Medicine.

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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