Weiping Lyu
Impact in
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
-
- Computational Drug Discovery Methods
Papers in
-
- Phosphodiesterase function and regulation 4
- Inflammasome and immune disorders 3
- Pharmacology 12
- Cholinesterase and Neurodegenerative Diseases 11
- Co-authors
- Haopeng Sun (12 shared papers)Wenyuan Liu (11 shared papers)Siyu He (7 shared papers)Qinghong Liao (6 shared papers)Feng Feng (8 shared papers)Qihang Li (6 shared papers)Ning Jiao (2 shared papers)Song Song (3 shared papers)
- Journals
- European Journal of Medicinal Chemistry (11 papers)Journal of Medicinal Chemistry (4 papers)Bioorganic Chemistry (3 papers)Molecular Informatics (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- ChinaSaudi ArabiaCzechia
In The Last Decade
Weiping Lyu
25 papers receiving 360 citations
Peers
Comparison fields: 5 of 58
- Pharmacology 130
- Computational Theory and Mathematics 83
- Organic Chemistry 101
- Complementary and alternative medicine 22
- Cell Biology 45
Countries citing papers authored by Weiping Lyu
This map shows the geographic impact of Weiping Lyu'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 Weiping Lyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiping Lyu more than expected).
Fields of papers citing papers by Weiping Lyu
This network shows the impact of papers produced by Weiping Lyu. 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 Weiping Lyu. The network helps show where Weiping Lyu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiping Lyu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 43 | |
| 2 | 2022 | 40 | |
| 3 | 2021 | 40 | |
| 4 | 2023 | 34 | |
| 5 | 2024 | 27 | |
| 6 | 2020 | 27 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2024 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 3 |
About Weiping Lyu
Weiping Lyu is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Physiology and Cell Biology, having authored 28 papers that have together received 361 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (11 papers), Alzheimer's disease research and treatments (6 papers), Computational Drug Discovery Methods (6 papers), Phosphodiesterase function and regulation (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Inflammasome and immune disorders (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Pharmacology (130 citations), Computational Theory and Mathematics (83 citations), Organic Chemistry (101 citations), Complementary and alternative medicine (22 citations) and Cell Biology (45 citations). Weiping Lyu has collaborated with scholars based in China, Saudi Arabia and Czechia. Frequent co-authors include Haopeng Sun, Wenyuan Liu, Siyu He, Qinghong Liao, Feng Feng, Qihang Li, Ning Jiao, Song Song, Ying Chen and Baichen Xiong. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Bioorganic Chemistry, Molecular Informatics and ACS Medicinal Chemistry Letters.
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.