Que Wang
Impact in
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- Chemotherapy-induced cardiotoxicity and mitigation
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- Calcium signaling and nucleotide metabolism
Papers in
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- Heat shock proteins research 1
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- Chemotherapy-induced cardiotoxicity and mitigation 4
- Co-authors
- Tao Shen (10 shared papers)Xiuqing Huang (7 shared papers)Yong Man (5 shared papers)Jian Li (7 shared papers)Xiaoxue Yu (6 shared papers)Yang Ruan (3 shared papers)Beidong Chen (4 shared papers)Mingjing Yan (5 shared papers)
- Journals
- Oxidative Medicine and Cellular Longevity (2 papers)Journal of Hazardous Materials (2 papers)BioMed Research International (2 papers)International Journal of Biological Sciences (1 paper)Bioresource Technology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Que Wang
18 papers receiving 370 citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 146
- Physiology 18
- Cancer Research 36
- Oncology 60
- Pollution 26
Countries citing papers authored by Que Wang
This map shows the geographic impact of Que 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 Que Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Que Wang more than expected).
Fields of papers citing papers by Que Wang
This network shows the impact of papers produced by Que 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 Que Wang. The network helps show where Que Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Que 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 | 2016 | 83 | |
| 2 | 2019 | 80 | |
| 3 | 2020 | 45 | |
| 4 | 2021 | 26 | |
| 5 | 2019 | 24 | |
| 6 | 2017 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 15 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 3 | |
| 16 | A soft computing approach to prediction of wheel induced rut depth: Appraisal of Artificial Neural Network | 2016 | 2 |
| 17 | 2024 | 1 | |
| 18 | 2020 | 1 |
About Que Wang
Que Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Epidemiology and Environmental Engineering, having authored 18 papers that have together received 372 indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Microbial Fuel Cells and Bioremediation (3 papers), Electron Spin Resonance Studies (2 papers), Microbial Community Ecology and Physiology (2 papers), Autophagy in Disease and Therapy (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Heat shock proteins research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (146 citations), Physiology (18 citations), Cancer Research (36 citations), Oncology (60 citations) and Pollution (26 citations). Que Wang has collaborated with scholars based in China and United States. Frequent co-authors include Tao Shen, Xiuqing Huang, Yong Man, Jian Li, Xiaoxue Yu, Yang Ruan, Beidong Chen, Mingjing Yan, Weiqing Tang and Quan Qiu. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Journal of Hazardous Materials, BioMed Research International, International Journal of Biological Sciences and Bioresource Technology.
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.