Dongyun Shi

960 citations
22 papers · 793 indexed · h-index 14
Topics
Metabolism, Diabetes, and Cancer (4 papers)Mitochondrial Function and Pathology (3 papers)Adipose Tissue and Metabolism (3 papers)

In The Last Decade

Dongyun Shi

22 papers receiving 783 citations

Peers

Dongyun Shi
Comparison fields: 5 of 102
  • Molecular Biology 470
  • Cancer Research 152
  • Physiology 115
  • Biochemistry 85
  • Immunology 84
Replace Gi‐Ryang Kweon with:
Gi‐Ryang Kweon South Korea
Ping Cheng China
Nicolas Dejeans Belgium
Surendar Tadi South Korea
Tu Nguyen United States
Ji Wook Moon South Korea
Robert A. Egnatchik United States
Maria V. Savvateeva Russia
Kristell Le Gal Sweden
Hsin‐Yi Chang Taiwan
Dongyun Shi relative to Gi‐Ryang Kweon South Korea Gi‐Ryang Kweon's profile →
Citations per field
00.5×1.5×2.0×
Gi‐Ryang Kweon · 1×
Citations per year

Countries citing papers authored by Dongyun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Dongyun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyun Shi. A scholar is included among the top collaborators of Dongyun Shi 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 Dongyun Shi. Dongyun Shi 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 3
2 2
3 18
4 41
5 41
6 47
7 43
8 22
9 70
10 45
11 61
12 44
13 1
14 3
15 106
16 59
17 75
18 100
19
[Influence of PKB on ROS regulation of proliferation in human 7721 hepatoma cells].
2
20
Inhibition of Proliferation and Expression of N-ras in Hepatoma Cells by Antioxidation Treatment.
2

About Dongyun Shi

Dongyun Shi is a scholar working on Aging, Biochemistry and Geriatrics and Gerontology, having authored 22 papers that have together received 793 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Mitochondrial Function and Pathology (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Biochemistry (85 citations), Cancer Research (152 citations) and Molecular Biology (470 citations). Dongyun Shi has collaborated with scholars based in China, United Kingdom and Czechia. Frequent co-authors include Shanlin Liu, Jeremy S. Stern, Yang Liu, Chao Zhai, Dongyang Zhang, Chaoqun Wu, Yadong Zhang, Pengying Li, Jian Cheng and Wei Lian. Their work appears in journals such as Biomaterials, Scientific Reports and Biochemical and Biophysical Research Communications.

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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