Xia Lv
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Cholinesterase and Neurodegenerative Diseases
- Biochemistry top 5%
Papers in
-
- Natural product bioactivities and synthesis 11
- Cancer therapeutics and mechanisms 6
- Biological Activity of Diterpenoids and Biflavonoids 4
- Pharmacology 23
- Pharmacogenetics and Drug Metabolism 14
- Pharmacological Effects of Natural Compounds 5
- Co-authors
- Guang‐Bo Ge (16 shared papers)Ling Yang (13 shared papers)Jing Ning (19 shared papers)Lei Feng (15 shared papers)Jianbin Zhang (8 shared papers)Xiaochi Ma (26 shared papers)Jie Hou (5 shared papers)Qiang Jin (2 shared papers)
In The Last Decade
Xia Lv
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Pharmacology 323
- Biochemistry 100
- Pharmacology 191
- Pharmaceutical Science 69
- Molecular Biology 626
Countries citing papers authored by Xia Lv
This map shows the geographic impact of Xia Lv'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 Xia Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Lv more than expected).
Fields of papers citing papers by Xia Lv
This network shows the impact of papers produced by Xia Lv. 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 Xia Lv. The network helps show where Xia Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Lv, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 179 | |
| 2 | 2016 | 88 | |
| 3 | 2018 | 72 | |
| 4 | 2019 | 71 | |
| 5 | 2015 | 66 | |
| 6 | 2015 | 66 | |
| 7 | 2017 | 58 | |
| 8 | 2018 | 54 | |
| 9 | 2017 | 47 | |
| 10 | 2018 | 41 | |
| 11 | 2016 | 38 | |
| 12 | 2018 | 36 | |
| 13 | 2012 | 34 | |
| 14 | 2018 | 33 | |
| 15 | 2013 | 30 | |
| 16 | 2019 | 30 | |
| 17 | 2021 | 29 | |
| 18 | 2017 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 2012 | 26 |
About Xia Lv
Xia Lv is a scholar working on Molecular Biology, Pharmacology, Plant Science, Oncology and Organic Chemistry, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (14 papers), Natural product bioactivities and synthesis (11 papers), Drug Transport and Resistance Mechanisms (8 papers), Cancer therapeutics and mechanisms (6 papers), Phytochemistry and Biological Activities (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Pharmacological Effects of Natural Compounds (5 papers) and Biological Activity of Diterpenoids and Biflavonoids (4 papers). The work is most often cited by research in Pharmacology (323 citations), Biochemistry (100 citations), Pharmacology (191 citations), Pharmaceutical Science (69 citations) and Molecular Biology (626 citations). Xia Lv has collaborated with scholars based in China, Finland and Hong Kong. Frequent co-authors include Guang‐Bo Ge, Ling Yang, Jing Ning, Lei Feng, Jianbin Zhang, Xiaochi Ma, Jie Hou, Qiang Jin, Dandan Wang and Tongyi Dou. Their work appears in journals such as Acta Pharmaceutica Sinica B, Chemico-Biological Interactions, International Journal of Biological Macromolecules, Xenobiotica 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.