Xiaolu Wei
Impact in
- Pharmacology top 5%
- Berberine and alkaloids research
Papers in
-
- Natural product bioactivities and synthesis 4
- Medicinal Plants and Bioactive Compounds 4
- Genomics and Chromatin Dynamics 4
- CRISPR and Genetic Engineering 4
- Metabolomics and Mass Spectrometry Studies 3
- Pharmacology 11
- Plant-based Medicinal Research 5
- Drug-Induced Hepatotoxicity and Protection 4
- Co-authors
- Baolin Bian (44 shared papers)Haiyu Zhao (40 shared papers)Nan Si (28 shared papers)Guoxia Li (5 shared papers)Shen Shen (5 shared papers)Chunyu Li (5 shared papers)Qi Wang (4 shared papers)Amanda M. Larracuente (8 shared papers)
- Journals
- Phytomedicine (6 papers)Journal of Ethnopharmacology (5 papers)Molecules (4 papers)PLoS ONE (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaolu Wei
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Pharmacology 99
- Biological Psychiatry 26
- Toxicology 33
- Complementary and alternative medicine 64
- Molecular Biology 546
Countries citing papers authored by Xiaolu Wei
This map shows the geographic impact of Xiaolu Wei'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 Xiaolu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolu Wei more than expected).
Fields of papers citing papers by Xiaolu Wei
This network shows the impact of papers produced by Xiaolu Wei. 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 Xiaolu Wei. The network helps show where Xiaolu Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolu Wei, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 105 | |
| 2 | 2019 | 71 | |
| 3 | 2021 | 61 | |
| 4 | 2020 | 42 | |
| 5 | 2021 | 39 | |
| 6 | 2020 | 36 | |
| 7 | 2022 | 36 | |
| 8 | 2018 | 35 | |
| 9 | 2019 | 35 | |
| 10 | 2017 | 34 | |
| 11 | 2017 | 33 | |
| 12 | 2019 | 33 | |
| 13 | 2019 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2015 | 28 | |
| 17 | 2022 | 28 | |
| 18 | 2018 | 25 | |
| 19 | 2017 | 25 | |
| 20 | 2021 | 22 |
About Xiaolu Wei
Xiaolu Wei is a scholar working on Molecular Biology, Pharmacology, Plant Science, Pharmacology and Oncology, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), Plant-based Medicinal Research (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Natural product bioactivities and synthesis (4 papers), Medicinal Plants and Bioactive Compounds (4 papers), Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Pharmacology (99 citations), Biological Psychiatry (26 citations), Toxicology (33 citations), Complementary and alternative medicine (64 citations) and Molecular Biology (546 citations). Xiaolu Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Baolin Bian, Haiyu Zhao, Nan Si, Guoxia Li, Shen Shen, Chunyu Li, Qi Wang, Amanda M. Larracuente, Yanyan Zhou and Hongjie Wang. Their work appears in journals such as Phytomedicine, Journal of Ethnopharmacology, Molecules, PLoS ONE and Diabetes Metabolic Syndrome and Obesity.
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.