Sheng Chen

3.2k citations
56 papers · 2.3k indexed · 2 hit papers · h-index 21

Impact in

    • Osteoarthritis Treatment and Mechanisms
    • Musculoskeletal pain and rehabilitation
    • Inflammatory mediators and NSAID effects

Papers in

Sheng Chen

51 papers receiving 2.3k citations

Hit Papers

Osteoarthritis: pathogenic signaling pathways and therapeutic targets 2023 · 666 citations
6662021202620222024200400600

Peers

Sheng Chen
Comparison fields: 5 of 129
  • Rheumatology 569
  • Pharmacology 574
  • Pathology and Forensic Medicine 397
  • Cancer Research 261
  • Cell Biology 215
Replace Yan Peng with:
Yan Peng China
Hee‐Jeong Im United States
Jianru Wang China
Katriina Vuolteenaho Finland
Yaosen Wu China
Sergio Castorina Italy
M. Carmen Montesinos Spain
Xiao Lv China
Angela D’Ascola Italy
Sheng Chen relative to Yan Peng China Yan Peng's profile →
Citations per field
00.5×1.5×2.0×
Yan Peng · 1×
Citations per year

Countries citing papers authored by Sheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20252
3 20250
4 20254
5 20241
6 20240
7 20246
8 20243
9 20240
10 20239
11 202310
12 20231
13 2021155
14
Global, regional and national burden of low back pain 1990–2019: A systematic analysis of the Global Burden of Disease study 2019
Hit paper breakdown →
2021254
15 202070
16 202022
17 201917
18 201820
19 201712
20 201090

About Sheng Chen

Sheng Chen is a scholar working on Rheumatology, Pharmacology, Pathology and Forensic Medicine, Orthopedics and Sports Medicine and Oncology, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (8 papers), Spine and Intervertebral Disc Pathology (7 papers), Inflammatory mediators and NSAID effects (6 papers), Epigenetics and DNA Methylation (4 papers), Chemokine receptors and signaling (4 papers), Autophagy in Disease and Therapy (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Rheumatology (569 citations), Pharmacology (574 citations), Pathology and Forensic Medicine (397 citations), Cancer Research (261 citations) and Cell Biology (215 citations). Sheng Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guozhi Xiao, Xiaohao Wu, Chu Tao, Tailin He, Minghao Qu, Qing Yao, Yiming Zhong, Weiyuan Gong, Huiling Cao and Mingjue Chen. Their work appears in journals such as Journal of Orthopaedic Translation, Bone Research, International Immunopharmacology, Oxidative Medicine and Cellular Longevity and Virus Research.

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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