Wei Yan
- Molecular Biology top 5%
- Genomics, phytochemicals, and oxidative stress 10
- Glutathione Transferases and Polymorphisms 6
- Heme Oxygenase-1 and Carbon Monoxide 6
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 5
- Cancer Research top 5%
- Immunology top 5%
- Neurology top 5%
- Traumatic Brain Injury and Neurovascular Disturbances 6
- Neurology top 5%
- Traumatic Brain Injury and Neurovascular Disturbances 6
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- Ophthalmology and Eye Disorders 7
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- Pituitary Gland Disorders and Treatments 6
Wei Yan
94 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 2.1k
- Cancer Research 430
- Immunology 547
- Neurology 211
- Neurology 369
Countries citing papers authored by Wei Yan
This map shows the geographic impact of Wei 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 Wei Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yan more than expected).
Fields of papers citing papers by Wei Yan
This network shows the impact of papers produced by Wei 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 Wei Yan. The network helps show where Wei Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 42 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 19 | |
| 14 | 2016 | 6 | |
| 15 | Serum levels of soluble receptor for advanced glycation end products and of S100 proteins are associated with inflammatory, autoantibody, and classical risk markers of joint and vascular damage in rheumatoid arthritis | 2009 | 1 |
| 16 | 2009 | 63 | |
| 17 | 2009 | 36 | |
| 18 | 2008 | 67 | |
| 19 | 2008 | 95 | |
| 20 | 2005 | 146 |
About Wei Yan
Wei Yan is a scholar working on Anatomy, Neurology, Developmental Neuroscience, Cancer Research and Molecular Biology, having authored 101 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (10 papers), Ophthalmology and Eye Disorders (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Glutathione Transferases and Polymorphisms (6 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (430 citations), Immunology (547 citations), Neurology (211 citations) and Neurology (369 citations). Wei Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuan Zhuang, Robert Benezra, Alison Z. Young, Handong Wang, Richard O. Hynes, Katia Manova, David Lyden, William L. Gerald, B. Bader and Richard O’Reilly. Their work appears in journals such as BMC Neurology, Journal of Craniofacial Surgery, Frontiers in Endocrinology, The Journal of Immunology and Journal of Biological Chemistry.
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.