Junyan Shen

498 citations
16 papers · 360 · 1 hit paper · h-index 10

Impact in

Papers in

    • Glioma Diagnosis and Treatment 3
    • Mesenchymal stem cell research 2
    • Telomeres, Telomerase, and Senescence 2
    • Nitric Oxide and Endothelin Effects 1

Junyan Shen

15 papers receiving 352 citations

Junyan Shen's Hit Papers

Traditional Chinese Medicine Compound (Tongxinluo) and Clinical Outcomes of Patients With Acute Myocardial Infarction 2023 · 102 citations
1020+1+2Years since publication255075100

Peers

Junyan Shen
Comparison fields: 5 of 67
  • Drug Discovery 3
  • Aging 12
  • Complementary and alternative medicine 62
  • Neurology 16
  • Molecular Biology 124
Replace Chenchen Pi with:
Chenchen Pi China
Alexander B. Pupyshev Russia
Haiqiong Liu China
Marion Pauly Canada
Jin Zhu China
Vikram J. Tallapragada Australia
Zahra Safaeinejad Iran
Alizée Dortignac France
Junyan Shen relative to Chenchen Pi China Chenchen Pi's profile →
Citations per field
00.5×2×4×5.2×
Chenchen Pi · 1×
Citations per year

Countries citing papers authored by Junyan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Junyan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Traditional Chinese Medicine Compound (Tongxinluo) and Clinical Outcomes of Patients With Acute Myocardial Infarction
Hit paper breakdown →
2023102
2 202381
3 202040
4 202022
5 201819
6 201919
7 201818
8 202016
9 201713
10 201811
11 20247
12 20245
13 20234
14 20172
15 20221
16 20250

About Junyan Shen

Junyan Shen is a scholar working on Genetics, Physiology, Aging, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 16 papers that have together received 360 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Mesenchymal stem cell research (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Pharmacological Effects of Natural Compounds (1 paper), Liver physiology and pathology (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Circadian rhythm and melatonin (1 paper) and Microstructure and Mechanical Properties of Steels (1 paper). The work is most often cited by research in Drug Discovery (3 citations), Aging (12 citations), Complementary and alternative medicine (62 citations), Neurology (16 citations) and Molecular Biology (124 citations). Junyan Shen has collaborated with scholars based in China, Sweden and Japan. Frequent co-authors include Hailiang Liu, Xiaoqi Zhu, Ce Huang, Shengyu Feng, Hao Wang, Zhongmin Liu, Yi Eve Sun, Juxiang Chen, Xing Qiang Lü and Dehai Ping. Their work appears in journals such as Aging, Clinical Neurology and Neurosurgery, Pharmacological Research, International Journal of Cardiology and Frontiers in Aging Neuroscience.

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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