Xia Lv
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Drug Discovery top 10%
Papers in
- Pharmacology 22
- Pharmacogenetics and Drug Metabolism 22
-
- Bioactive natural compounds 5
- Bioactive Natural Diterpenoids Research 3
- Natural product bioactivities and synthesis 3
- Co-authors
- Guang-Bo Ge (16 shared papers)Ling Yang (12 shared papers)Jing Ning (18 shared papers)Lei Feng (15 shared papers)Jianbin Zhang (8 shared papers)Xiaochi Ma (25 shared papers)Jie Hou (5 shared papers)Dandan Wang (2 shared papers)
- Journals
- Chemico-Biological Interactions (3 papers)Molecules (3 papers)Xenobiotica (3 papers)Drug Metabolism and Pharmacokinetics (3 papers)International Journal of Biological Macromolecules (3 papers)
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Xia Lv
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 73
- Pharmacology 417
- Drug Discovery 6
- Spectroscopy 209
- Pharmaceutical Science 90
- Complementary and alternative medicine 110
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 183 | |
| 2 | 2016 | 91 | |
| 3 | 2018 | 78 | |
| 4 | 2019 | 75 | |
| 5 | 2015 | 67 | |
| 6 | 2015 | 66 | |
| 7 | 2017 | 63 | |
| 8 | 2018 | 57 | |
| 9 | 2017 | 50 | |
| 10 | 2018 | 44 | |
| 11 | 2012 | 37 | |
| 12 | 2018 | 37 | |
| 13 | 2018 | 35 | |
| 14 | 2021 | 35 | |
| 15 | 2019 | 31 | |
| 16 | 2013 | 30 | |
| 17 | 2017 | 28 | |
| 18 | 2012 | 27 | |
| 19 | 2018 | 27 | |
| 20 | 2009 | 26 |
About Xia Lv
Xia Lv is a scholar working on Pharmacology, Molecular Biology, Complementary and alternative medicine, Plant Science and Pharmaceutical Science, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (22 papers), Phytochemistry and Biological Activities (7 papers), Bioactive natural compounds (5 papers), Molecular Sensors and Ion Detection (4 papers), Bioactive Natural Diterpenoids Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Natural product bioactivities and synthesis (3 papers) and Traditional Chinese Medicine Analysis (3 papers). The work is most often cited by research in Pharmacology (417 citations), Drug Discovery (6 citations), Spectroscopy (209 citations), Pharmaceutical Science (90 citations) and Complementary and alternative medicine (110 citations). Xia Lv has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Guang-Bo Ge, Ling Yang, Jing Ning, Lei Feng, Jianbin Zhang, Xiaochi Ma, Jie Hou, Dandan Wang, Qiang Jin and Tongyi Dou. Their work appears in journals such as Chemico-Biological Interactions, Molecules, Xenobiotica, Drug Metabolism and Pharmacokinetics and International Journal of Biological Macromolecules.
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.