Xiaoqing Wang
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 9
- Cancer, Lipids, and Metabolism 6
- Molecular Biology top 5%
- RNA modifications and cancer 9
- Circular RNAs in diseases 7
- Oncology top 10%
- Metal complexes synthesis and properties 7
- Peptidase Inhibition and Analysis 7
- Cancer survivorship and care 6
- Immunology top 10%
- Physiology top 10%
- Co-authors
- Zhenhua RuanYan LiuX. Shirley LiuMyles BrownJingming GongKewei WangXue LiWubing Zhang
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoqing Wang
129 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cancer Research 389
- Molecular Biology 1.5k
- Oncology 446
- Immunology 312
- Physiology 47
Countries citing papers authored by Xiaoqing Wang
This map shows the geographic impact of Xiaoqing 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 Xiaoqing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqing Wang more than expected).
Fields of papers citing papers by Xiaoqing Wang
This network shows the impact of papers produced by Xiaoqing 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 Xiaoqing Wang. The network helps show where Xiaoqing Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoqing 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | Single-cell and spatial transcriptome analysis reveals the cellular heterogeneity of liver metastatic colorectal cancerbreakdown → | 2023 | 104 |
| 12 | 2022 | 8 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 23 | |
| 17 | 2021 | 52 | |
| 18 | 2014 | 20 | |
| 19 | Tissue culture of Parakmeria yunnanensis Hu. | 2010 | 1 |
| 20 | Determination of Se in human hair with HG-AFS | 1998 | 1 |
About Xiaoqing Wang
Xiaoqing Wang is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 136 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (9 papers), MicroRNA in disease regulation (9 papers), Metal complexes synthesis and properties (7 papers), Peptidase Inhibition and Analysis (7 papers), Circular RNAs in diseases (7 papers), Cancer survivorship and care (6 papers) and Cancer, Lipids, and Metabolism (6 papers). The work is most often cited by research in Cancer Research (389 citations), Molecular Biology (1.5k citations) and Oncology (446 citations). Xiaoqing Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhenhua Ruan, Yan Liu, X. Shirley Liu, Myles Brown, Jingming Gong, Kewei Wang, Xue Li, Wubing Zhang, Yan Xu and Xiao‐Wei Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.