Xiaocui Wang
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
Papers in
-
- Animal Nutrition and Physiology 7
-
- Epilepsy research and treatment 7
- Co-authors
- Shugeng Wu (6 shared papers)Guang-hai Qi (6 shared papers)Haijun Zhang (6 shared papers)Jinping Hua (5 shared papers)Lianguang Shang (5 shared papers)Lingling Ma (4 shared papers)Yumei Wang (4 shared papers)Kunbo Wang (3 shared papers)
- Journals
- G3 Genes Genomes Genetics (3 papers)Wear (2 papers)Euphytica (2 papers)Journal of NeuroInterventional Surgery (2 papers)Molecular Pain (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaocui Wang
62 papers receiving 704 citations
Peers
Comparison fields: 5 of 75
- Animal Science and Zoology 141
- Microbiology 6
- Plant Science 226
- Sensory Systems 18
- Complementary and alternative medicine 29
Countries citing papers authored by Xiaocui Wang
This map shows the geographic impact of Xiaocui Wang'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 Xiaocui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaocui Wang more than expected).
Fields of papers citing papers by Xiaocui Wang
This network shows the impact of papers produced by Xiaocui Wang. 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 Xiaocui Wang. The network helps show where Xiaocui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaocui Wang, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 63 | |
| 2 | 2011 | 56 | |
| 3 | 2015 | 49 | |
| 4 | 2016 | 48 | |
| 5 | 2008 | 36 | |
| 6 | 2022 | 32 | |
| 7 | 2016 | 31 | |
| 8 | 2021 | 30 | |
| 9 | 2014 | 23 | |
| 10 | 2023 | 23 | |
| 11 | 2006 | 22 | |
| 12 | 2015 | 19 | |
| 13 | 2015 | 19 | |
| 14 | The lentiviral-mediated Nurr1 genetic engineering mesenchymal stem cells protect dopaminergic neurons in a rat model of Parkinson's disease. | 2018 | 18 |
| 15 | 2018 | 18 | |
| 16 | 2016 | 16 | |
| 17 | 2023 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2016 | 13 | |
| 20 | 2024 | 12 |
About Xiaocui Wang
Xiaocui Wang is a scholar working on Animal Science and Zoology, Psychiatry and Mental health, Automotive Engineering, Plant Science and Complementary and alternative medicine, having authored 65 papers that have together received 707 indexed citations. Recurring topics across this work include Epilepsy research and treatment (7 papers), Animal Nutrition and Physiology (7 papers), Research in Cotton Cultivation (5 papers), Acute Ischemic Stroke Management (5 papers), Brake Systems and Friction Analysis (5 papers), Railway Engineering and Dynamics (3 papers), Acupuncture Treatment Research Studies (3 papers) and Phytochemistry and Biological Activities (2 papers). The work is most often cited by research in Animal Science and Zoology (141 citations), Microbiology (6 citations), Plant Science (226 citations), Sensory Systems (18 citations) and Complementary and alternative medicine (29 citations). Xiaocui Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shugeng Wu, Guang-hai Qi, Haijun Zhang, Jinping Hua, Lianguang Shang, Lingling Ma, Yumei Wang, Kunbo Wang, Jing Wang and Hao Wang. Their work appears in journals such as G3 Genes Genomes Genetics, Wear, Euphytica, Journal of NeuroInterventional Surgery and Molecular Pain.
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.