Xin Lü
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
-
- Computational Drug Discovery Methods
Papers in
- Pharmacology 16
- Cholinesterase and Neurodegenerative Diseases 15
-
- Computational Drug Discovery Methods 14
- Co-authors
- Haopeng Sun (20 shared papers)Qingping Feng (4 shared papers)Feng Feng (9 shared papers)Dylan E Burger (2 shared papers)Wei Qu (4 shared papers)Anargyros Xenocostas (1 shared paper)Ming Lei (1 shared paper)Haiyan Zhang (8 shared papers)
- Journals
- European Journal of Medicinal Chemistry (4 papers)Cardiovascular Research (4 papers)Medicine (3 papers)Stem Cell Research & Therapy (3 papers)Molecules (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xin Lü
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Pharmacology 254
- Computational Theory and Mathematics 171
- Pharmacology 81
- Hepatology 68
- Biological Psychiatry 19
Countries citing papers authored by Xin Lü
This map shows the geographic impact of Xin 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 Xin Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Lü more than expected).
Fields of papers citing papers by Xin Lü
This network shows the impact of papers produced by Xin 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 Xin Lü. The network helps show where Xin Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 136 | |
| 2 | 2020 | 76 | |
| 3 | 2020 | 61 | |
| 4 | 2017 | 58 | |
| 5 | 2012 | 47 | |
| 6 | 2022 | 45 | |
| 7 | 2018 | 44 | |
| 8 | 2021 | 43 | |
| 9 | 2017 | 38 | |
| 10 | 2015 | 36 | |
| 11 | 2017 | 35 | |
| 12 | 2018 | 33 | |
| 13 | 2021 | 32 | |
| 14 | 2013 | 31 | |
| 15 | 2018 | 31 | |
| 16 | 2011 | 29 | |
| 17 | 2012 | 27 | |
| 18 | 2017 | 26 | |
| 19 | 2019 | 25 | |
| 20 | 2007 | 24 |
About Xin Lü
Xin Lü is a scholar working on Pharmacology, Computational Theory and Mathematics, Hepatology, Complementary and alternative medicine and Physiology, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (15 papers), Computational Drug Discovery Methods (14 papers), Medicinal Plants and Neuroprotection (5 papers), Alzheimer's disease research and treatments (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Pancreatic function and diabetes (4 papers), Liver physiology and pathology (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Pharmacology (254 citations), Computational Theory and Mathematics (171 citations), Pharmacology (81 citations), Hepatology (68 citations) and Biological Psychiatry (19 citations). Xin Lü has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haopeng Sun, Qingping Feng, Feng Feng, Dylan E Burger, Wei Qu, Anargyros Xenocostas, Ming Lei, Haiyan Zhang, Nan Qin and Yijun Liu. Their work appears in journals such as European Journal of Medicinal Chemistry, Cardiovascular Research, Medicine, Stem Cell Research & Therapy and Molecules.
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.