Dingzhu Shen

892 citations
32 papers · 722 indexed · h-index 16
Topics
Cancer, Lipids, and Metabolism (5 papers)Atherosclerosis and Cardiovascular Diseases (5 papers)Cancer-related molecular mechanisms research (5 papers)
Partner nations
ChinaSweden

In The Last Decade

Dingzhu Shen

31 papers receiving 713 citations

Peers

Dingzhu Shen
Comparison fields: 5 of 86
  • Molecular Biology 302
  • Immunology 149
  • Physiology 123
  • Epidemiology 122
  • Cancer Research 112
Replace Sanli Xing with:
Sanli Xing China
Shan Song China
Jung Seok Hwang South Korea
Elena Darra Italy
Flori R. Sari Japan
Haibo Zhu China
Shuntaro Tsukamoto Japan
Myung‐Ho Kim South Korea
Chia-Yao Shen Taiwan
Shasha Xing China
Dingzhu Shen relative to Sanli Xing China Sanli Xing's profile →
Citations per field
00.5×2.6×
Sanli Xing · 1×
Citations per year

Countries citing papers authored by Dingzhu Shen

Since Specialization
Citations

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

Fields of papers citing papers by Dingzhu Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingzhu Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Dingzhu Shen. A scholar is included among the top collaborators of Dingzhu Shen 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 Dingzhu Shen. Dingzhu Shen 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 33
2 1
3 2
4 64
5 22
6 37
7 141
8
Efficacy of Shoushen granule on adenosine triphosphate binding cassette transporter A1, proprotein convertase subtilisin/kexin type 9 and toll-like receptor 4/nuclear factor kappa-B signaling pathway in ApoE-knockout mice.
3
9 42
10 7
11 5
12 18
13 26
14 10
15 38
16
[To investigate the strategy of Chinese medicine for prevention and treatment of atherosclerosis based on vascular aging].
2
17 16
18
Taurine inhibites Schwann cell apoptosis of sciatic nerve in diabetic rats
1
19 15
20 16

About Dingzhu Shen

Dingzhu Shen is a scholar working on Cancer Research, Geriatrics and Gerontology and Immunology, having authored 32 papers that have together received 722 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Biochemistry (68 citations), Biological Psychiatry (28 citations) and Geriatrics and Gerontology (37 citations). Dingzhu Shen has collaborated with scholars based in China and Sweden. Frequent co-authors include Sanli Xing, Chuan Chen, Qingling Jia, Hui Cao, Hui Cao, Chuan Chen, Yan Li, Jiulin Chen, Fangfang Dou and Shanshan Li. Their work appears in journals such as International Journal of Molecular Sciences, European Journal of Pharmacology and International Journal of Biological Sciences.

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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