Weiqiang Lü
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 15
- Molecular Biology top 5%
- Biochemical and Molecular Research 9
- Receptor Mechanisms and Signaling 7
- Pharmacology top 2%
- Inflammatory mediators and NSAID effects 8
- Toxicology top 2%
- Pharmacology top 5%
- Inflammatory mediators and NSAID effects 8
-
- Peptidase Inhibition and Analysis 10
-
- Adenosine and Purinergic Signaling 8
-
- Synthesis and biological activity 7
-
- HIV/AIDS drug development and treatment 7
- Co-authors
- Jin HuangFeixiong ChengYun TangGuixia LiuMingyao LiuWeihua LiJing JiangWei‐Xing Zhou
- Journals
- Journal of Medicinal Chemistry (15 papers)Nature Communications (4 papers)Molecules (4 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Weiqiang Lü
96 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computational Theory and Mathematics 1.1k
- Molecular Biology 2.1k
- Pharmacology 249
- Toxicology 84
- Pharmacology 351
Countries citing papers authored by Weiqiang Lü
This map shows the geographic impact of Weiqiang Lü'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 Weiqiang Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiqiang Lü more than expected).
Fields of papers citing papers by Weiqiang Lü
This network shows the impact of papers produced by Weiqiang Lü. 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 Weiqiang Lü. The network helps show where Weiqiang Lü may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weiqiang Lü, 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 | 16 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 44 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 38 | |
| 11 | 2018 | 11 | |
| 12 | 2016 | 73 | |
| 13 | 2015 | 12 | |
| 14 | 2015 | 40 | |
| 15 | 2014 | 9 | |
| 16 | 2014 | 29 | |
| 17 | 2013 | 1 | |
| 18 | 2013 | 53 | |
| 19 | 2012 | 30 | |
| 20 | 2012 | 42 |
About Weiqiang Lü
Weiqiang Lü is a scholar working on Physiology, Toxicology, Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 97 papers that have together received 3.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Peptidase Inhibition and Analysis (10 papers), Biochemical and Molecular Research (9 papers), Inflammatory mediators and NSAID effects (8 papers), Adenosine and Purinergic Signaling (8 papers), Synthesis and biological activity (7 papers), Receptor Mechanisms and Signaling (7 papers) and HIV/AIDS drug development and treatment (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Molecular Biology (2.1k citations), Pharmacology (249 citations), Toxicology (84 citations) and Pharmacology (351 citations). Weiqiang Lü has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Jin Huang, Feixiong Cheng, Yun Tang, Guixia Liu, Mingyao Liu, Weihua Li, Jing Jiang, Wei‐Xing Zhou, Chuang Liu and Honglin Li. Their work appears in journals such as Journal of Medicinal Chemistry, Nature Communications, Molecules, Scientific Reports and Journal of Enzyme Inhibition and Medicinal 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.