Shan Wei

46 papers receiving 727 citations

Peers

Shan Wei
Comparison fields: 5 of 97
  • Genetics 57
  • Biological Psychiatry 13
  • Neurology 37
  • Cardiology and Cardiovascular Medicine 85
  • Physiology 89
Replace Ana Díaz with:
Ana Díaz Spain
Brady Barron United States
Yanli Liu China
Asmaa Mohammed ShamsEldeen Egypt
Cătălina Gabriela Pisoschi Romania
Dongchoon Ahn South Korea
Daniela Dal-Secco Brazil
Jin Choul Chai South Korea
Qingqing Wang China
Qin Yang China
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Citations per field
00.5×2.8×
Ana Díaz · 1×
Citations per year

Countries citing papers authored by Shan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Shan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shan Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shan Wei Line = papers co-authored together Shan Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199978
2 201845
3 201745
4 201541
5 201140
6 202238
7
A modest reduction in c-myc expression has minimal effects on cell growth and apoptosis but dramatically reduces susceptibility to Ras and Raf transformation.
200134
8 199925
9 201525
10 201723
11 200322
12 201822
13 201819
14 202419
15 202218
16 202018
17 201815
18 201715
19 202415
20 202313

About Shan Wei

Shan Wei is a scholar working on Physiology, Immunology, Oncology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 732 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (3 papers), Blood Pressure and Hypertension Studies (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), interferon and immune responses (2 papers), Immune cells in cancer (2 papers), Adipose Tissue and Metabolism (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Genetics (57 citations), Biological Psychiatry (13 citations), Neurology (37 citations), Cardiology and Cardiovascular Medicine (85 citations) and Physiology (89 citations). Shan Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include John E. Sanderson, Louis T.C. Chow, Yuansen Hu, Qiumin Qu, Yangyong Lv, Suhang Shang, Liangjun Dang, Shuaibing Zhang, Ling Gao and He Huang. Their work appears in journals such as Journal of Alzheimer s Disease, Frontiers in Aging Neuroscience, Lipids in Health and Disease, BMC Public Health and Journal of Health Population and Nutrition.

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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