Chuming Yan

953 citations
12 papers · 586 · 1 hit paper · h-index 5

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Stroke Rehabilitation and Recovery

Papers in

Chuming Yan

8 papers receiving 583 citations

Chuming Yan's Hit Papers

Temporal trend and attributable risk factors of stroke burden in China, 1990–2019: an analysis for the Global Burden of Disease Study 2019 2021 · 544 citations
5440+1+3Years since publication100200300400500

Peers

Chuming Yan
Comparison fields: 5 of 73
  • Neurology 66
  • Rehabilitation 48
  • Epidemiology 142
  • Biological Psychiatry 9
  • Health, Toxicology and Mutagenesis 53
Replace Hongmin Luo with:
Hongmin Luo China
Reinhold Schmidt Austria
Bishwanath Kumar India
Rickesha Wilson United States
Yifan Liang China
Lotte Grevendonk Netherlands
Jeremy Lew Australia
Chao Feng China
Susana Rodríguez‐González Spain
Christiane Malfitano Brazil
Chuming Yan relative to Hongmin Luo China Hongmin Luo's profile →
Citations per field
00.5×4.8×
Hongmin Luo · 1×
Citations per year

Countries citing papers authored by Chuming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chuming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Temporal trend and attributable risk factors of stroke burden in China, 1990–2019: an analysis for the Global Burden of Disease Study 2019
Hit paper breakdown →
2021544
2 202317
3 20237
4 20227
5 20235
6 20253
7 20252
8 20251
9 20250
10 20260
11 20250
12 20230

About Chuming Yan

Chuming Yan is a scholar working on Molecular Biology, Clinical Psychology, Epidemiology, Biological Psychiatry and Artificial Intelligence, having authored 12 papers that have together received 586 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Child Abuse and Trauma (2 papers), Acute Ischemic Stroke Management (2 papers), Tryptophan and brain disorders (1 paper), Advanced Technologies in Various Fields (1 paper) and Sleep and related disorders (1 paper). The work is most often cited by research in Neurology (66 citations), Rehabilitation (48 citations), Epidemiology (142 citations), Biological Psychiatry (9 citations) and Health, Toxicology and Mutagenesis (53 citations). Chuming Yan has collaborated with scholars based in China and United States. Frequent co-authors include Qingfeng Ma, Rui Li, Yin Yang, Stephen Edward McMillin, Miao Cai, Zilong Zhang, Yi Ren, Lijun Wang, Michael G. Vaughn and Peng Yin. Their work appears in journals such as Journal of Affective Disorders, Nature and Science of Sleep, European Archives of Psychiatry and Clinical Neuroscience, The Lancet Public Health and Stroke.

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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