Weiyan Shen

539 citations
5 papers · 294 · 1 hit paper · h-index 5

Impact in

Papers in

    • Adipose Tissue and Metabolism 3
    • Telomeres, Telomerase, and Senescence 1
    • Metabolism, Diabetes, and Cancer 1

Weiyan Shen

5 papers receiving 291 citations

Weiyan Shen's Hit Papers

Inflammation, epigenetics, and metabolism converge to cell senescence and ageing: the regulation and intervention 2021 · 214 citations
2140+1+3Years since publication50100150200

Peers

Weiyan Shen
Comparison fields: 5 of 78
  • Aging 24
  • Geriatrics and Gerontology 23
  • Biological Psychiatry 12
  • Physiology 106
  • Neurology 20
Replace Sudarshan Krishnamurthy with:
Sudarshan Krishnamurthy United States
Marisa Lopez‐Cruzan United States
Anna Ferrario Italy
Léa Montégut France
Sofía Cabezudo Spain
Lucia Sedlackova United Kingdom
Tesfahun Dessale Admasu Ethiopia
Louise Zheng United States
Wei‐Chieh Mu United States
Abbas Ishaq United Kingdom
Weiyan Shen relative to Sudarshan Krishnamurthy United States Sudarshan Krishnamurthy's profile →
Citations per field
00.5×1.5×
Sudarshan Krishnamurthy · 1×
Citations per year

Countries citing papers authored by Weiyan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Weiyan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weiyan Shen, 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 Weiyan Shen Line = papers co-authored together Weiyan Shen links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Weiyan Shen

Weiyan Shen is a scholar working on Physiology, Molecular Biology, Geriatrics and Gerontology, Surgery and Pathology and Forensic Medicine, having authored 5 papers that have together received 294 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper), PARP inhibition in cancer therapy (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Aging (24 citations), Geriatrics and Gerontology (23 citations), Biological Psychiatry (12 citations), Physiology (106 citations) and Neurology (20 citations). Weiyan Shen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhenyu Ju, Xudong Zhu, Hu Wang, Gang Huang, Zhiyang Chen, John M. Sedivy, Qinsong Sheng, Ying Wang, Shihao Sheng and Wei Xiong. Their work appears in journals such as Signal Transduction and Targeted Therapy, The FASEB Journal, Frontiers in Cell and Developmental Biology and PubMed.

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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