Yan Wei

49 papers receiving 691 citations

Peers

Yan Wei
Comparison fields: 5 of 123
  • Safety, Risk, Reliability and Quality 86
  • Transportation 40
  • Cancer Research 66
  • Developmental Neuroscience 14
  • Neurology 28
Replace Eric Vallabh Minikel with:
Eric Vallabh Minikel United States
Jianyu Wang China
Samuel P. Dickson United States
David Verbich Canada
Huasheng Liu China
Rui Chai China
Birgit Debrabant Denmark
Ananya Roy India
Dongjun Guo China
Austin L. Brown United States
Yan Wei relative to Eric Vallabh Minikel United States Eric Vallabh Minikel's profile →
Citations per field
00.5×2.9×
Eric Vallabh Minikel · 1×
Citations per year

Countries citing papers authored by Yan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018121
2 201481
3 201857
4 202448
5 201836
6 202130
7 201430
8 201924
9 201024
10 200423
11 201821
12 201719
13 201619
14 201918
15 201912
16 201310
17 202010
18 20219
19 20088
20 20217

About Yan Wei

Yan Wei is a scholar working on Molecular Biology, General Health Professions, Economics and Econometrics, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 57 papers that have together received 698 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Alzheimer's disease research and treatments (3 papers), Acute Ischemic Stroke Management (3 papers), Mobile Health and mHealth Applications (2 papers), Ophthalmology and Eye Disorders (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (86 citations), Transportation (40 citations), Cancer Research (66 citations), Developmental Neuroscience (14 citations) and Neurology (28 citations). Yan Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wang Xiang, Wei Hao, Changxi Ma, Yingyao Chen, Lizheng Shi, Wai‐Man Chan, Alicia Nugent, Long Cheng, Michelle M. DeLisle and Elizabeth C. Engle. Their work appears in journals such as International Journal of Environmental Research and Public Health, Stroke and Vascular Neurology, BMC Health Services Research, The Prostate and BioScience Trends.

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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