Weiqiang Lü
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Biochemical and Molecular Research
Papers in
-
- Biochemical and Molecular Research 9
- Receptor Mechanisms and Signaling 7
- Oncology 23
- Peptidase Inhibition and Analysis 9
- Co-authors
- Jin Huang (49 shared papers)Feixiong Cheng (17 shared papers)Yun Tang (9 shared papers)Mingyao Liu (35 shared papers)Guixia Liu (6 shared papers)Weihua Li (3 shared papers)Jing Jiang (2 shared papers)Chuang Liu (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (15 papers)Nature Communications (4 papers)Molecules (4 papers)Biochemical Pharmacology (3 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Weiqiang Lü
98 papers receiving 3.4k citations
Weiqiang Lü's Hit Papers
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 1.1k
- Molecular Biology 1.9k
- Pharmacology 222
- Toxicology 78
- Pharmacology 317
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-authors
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
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference Hit paper breakdown → | 2012 | 646 |
| 2 | Target identification among known drugs by deep learning from heterogeneous networks Hit paper breakdown → | 2020 | 262 |
| 3 | 2019 | 158 | |
| 4 | 2021 | 106 | |
| 5 | 2022 | 91 | |
| 6 | 2016 | 81 | |
| 7 | 2016 | 73 | |
| 8 | 2011 | 72 | |
| 9 | 2018 | 71 | |
| 10 | 2018 | 70 | |
| 11 | 2020 | 67 | |
| 12 | 2016 | 64 | |
| 13 | 2009 | 64 | |
| 14 | 2019 | 60 | |
| 15 | 2013 | 53 | |
| 16 | 2022 | 48 | |
| 17 | 2016 | 44 | |
| 18 | 2012 | 43 | |
| 19 | 2013 | 42 | |
| 20 | 2012 | 42 |
About Weiqiang Lü
Weiqiang Lü is a scholar working on Molecular Biology, Oncology, Pharmacology, Computational Theory and Mathematics and Organic Chemistry, having authored 98 papers that have together received 3.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Peptidase Inhibition and Analysis (9 papers), Biochemical and Molecular Research (9 papers), Adenosine and Purinergic Signaling (8 papers), Inflammatory mediators and NSAID effects (8 papers), Receptor Mechanisms and Signaling (7 papers), HIV/AIDS drug development and treatment (7 papers) and Synthesis and biological activity (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Molecular Biology (1.9k citations), Pharmacology (222 citations), Toxicology (78 citations) and Pharmacology (317 citations). Weiqiang Lü has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Jin Huang, Feixiong Cheng, Yun Tang, Mingyao Liu, Guixia Liu, Weihua Li, Jing Jiang, Chuang Liu, Wei‐Xing Zhou and Honglin Li. Their work appears in journals such as Journal of Medicinal Chemistry, Nature Communications, Molecules, Biochemical Pharmacology 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.