Xiaoping Wang
- Biological Psychiatry top 5%
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol 5
-
- Traditional Chinese Medicine Analysis 11
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 6
- Cell death mechanisms and regulation 5
- Cancer Research top 5%
-
- Autophagy in Disease and Therapy 11
-
- Chemotherapy-induced cardiotoxicity and mitigation 8
- Cardiovascular Function and Risk Factors 6
-
- Cardiac Imaging and Diagnostics 5
Xiaoping Wang
128 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Biological Psychiatry 125
- Behavioral Neuroscience 146
- Complementary and alternative medicine 243
- Molecular Biology 1.9k
- Cancer Research 411
Countries citing papers authored by Xiaoping Wang
This map shows the geographic impact of Xiaoping 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 Xiaoping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Wang more than expected).
Fields of papers citing papers by Xiaoping Wang
This network shows the impact of papers produced by Xiaoping 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 Xiaoping Wang. The network helps show where Xiaoping Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 83 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 64 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 52 | |
| 11 | 2019 | 62 | |
| 12 | 2019 | 126 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 0 | |
| 15 | Determination of phenolic parts in ThymusquinquecostatusCelak by HPLC and UV-Vis | 2019 | 2 |
| 16 | 2019 | 35 | |
| 17 | 2017 | 0 | |
| 18 | Determination of Oligosaccharide Contents in Different Processed Radix Rehmannia Praeparata by HPLC-ELSD | 2013 | 2 |
| 19 | [Effect of mesenchymal stem cells on expression of CD69 in cord blood CIK/NK cells and quantity ratio of T regulatory cells in CIK/NK cell culture]. | 2009 | 3 |
| 20 | ApoE genotype distribution in 32 Chinese patients with hepatolenticular degeneration | 2003 | 1 |
About Xiaoping Wang
Xiaoping Wang is a scholar working on Complementary and alternative medicine, Behavioral Neuroscience and Biological Psychiatry, having authored 134 papers that have together received 3.6k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (11 papers), Autophagy in Disease and Therapy (11 papers), Chemotherapy-induced cardiotoxicity and mitigation (8 papers), Mitochondrial Function and Pathology (6 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac Imaging and Diagnostics (5 papers), Stress Responses and Cortisol (5 papers) and Cell death mechanisms and regulation (5 papers). The work is most often cited by research in Biological Psychiatry (125 citations), Behavioral Neuroscience (146 citations) and Complementary and alternative medicine (243 citations). Xiaoping Wang has collaborated with scholars based in China, United States and Jordan. Frequent co-authors include Tse‐Hua Tan, Roger J. Davis, Yi‐Rong Chen, Dennis J. Templeton, Yong Wang, F. Charles Brunicardi, Chun Li, Qiyan Wang, Dongqing Guo and Weili Li. Their work appears in journals such as Journal of Ethnopharmacology, Behavioural Brain Research, Biomedicine & Pharmacotherapy, Frontiers in Pharmacology and Phytomedicine.
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.