Weiyuan Ye
Impact in
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Bone Metabolism and Diseases 4
- Nicotinic Acetylcholine Receptors Study 2
- RNA modifications and cancer 2
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- Cholinesterase and Neurodegenerative Diseases 8
- Co-authors
- Jun Wu (8 shared papers)Xuejin Zhang (4 shared papers)Qingyang Huang (5 shared papers)Xuejun Zhang (4 shared papers)Ya Wang (4 shared papers)Lu Lu (1 shared paper)Xuejun Zhang (1 shared paper)Bo Liu (1 shared paper)
- Journals
- The International Journal of Biochemistry & Cell Biology (3 papers)Human Mutation (2 papers)Current Protein and Peptide Science (1 paper)BMC Microbiology (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Weiyuan Ye
18 papers receiving 351 citations
Peers
Comparison fields: 5 of 75
- Pharmacology 107
- Cancer Research 86
- Molecular Biology 196
- Computational Theory and Mathematics 37
- Orthopedics and Sports Medicine 15
Countries citing papers authored by Weiyuan Ye
This map shows the geographic impact of Weiyuan Ye'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 Weiyuan Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiyuan Ye more than expected).
Fields of papers citing papers by Weiyuan Ye
This network shows the impact of papers produced by Weiyuan Ye. 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 Weiyuan Ye. The network helps show where Weiyuan Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiyuan Ye, 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 | 2012 | 57 | |
| 2 | 2010 | 43 | |
| 3 | 2016 | 38 | |
| 4 | 2011 | 36 | |
| 5 | 2019 | 31 | |
| 6 | 2013 | 27 | |
| 7 | 2018 | 20 | |
| 8 | 2014 | 17 | |
| 9 | 2016 | 14 | |
| 10 | 2009 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2008 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2019 | 1 | |
| 19 | 2025 | 0 |
About Weiyuan Ye
Weiyuan Ye is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Cancer Research and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 352 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (8 papers), Computational Drug Discovery Methods (4 papers), Bone Metabolism and Diseases (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Pesticide Exposure and Toxicity (2 papers), MicroRNA in disease regulation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Pharmacology (107 citations), Cancer Research (86 citations), Molecular Biology (196 citations), Computational Theory and Mathematics (37 citations) and Orthopedics and Sports Medicine (15 citations). Weiyuan Ye has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jun Wu, Xuejin Zhang, Qingyang Huang, Xuejun Zhang, Ya Wang, Lu Lu, Xuejun Zhang, Bo Liu, Bing Mei and Jing Xie. Their work appears in journals such as The International Journal of Biochemistry & Cell Biology, Human Mutation, Current Protein and Peptide Science, BMC Microbiology and Gene.
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.