Que Wang
Impact in
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- Chemotherapy-induced cardiotoxicity and mitigation
Papers in ⓘ
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- Chemotherapy-induced cardiotoxicity and mitigation 4
- Co-authors
- Tao Shen (10 shared papers)Jian Li (7 shared papers)Xiuqing Huang (7 shared papers)Yong Man (5 shared papers)Xiaoxue Yu (6 shared papers)Yang Ruan (3 shared papers)Quan Qiu (5 shared papers)Weiqing Tang (5 shared papers)
- Journals
- Journal of Hazardous Materials (2 papers)BioMed Research International (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)Journal of Immunology Research (1 paper)Bioresource Technology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Que Wang
18 papers receiving 349 citations
Peers
Comparison fields: 5 of 86
- Cardiology and Cardiovascular Medicine 152
- Physiology 18
- Cancer Research 43
- Biophysics 14
- Oncology 66
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 | 81 | |
| 2 | 2019 | 75 | |
| 3 | 2020 | 43 | |
| 4 | 2021 | 24 | |
| 5 | 2019 | 24 | |
| 6 | 2017 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 12 | |
| 10 | 2023 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 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 352 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 (3 papers), Microbial Community Ecology and Physiology (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Autophagy in Disease and Therapy (2 papers), Autoimmune Bullous Skin Diseases (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (152 citations), Physiology (18 citations), Cancer Research (43 citations), Biophysics (14 citations) and Oncology (66 citations). Que Wang has collaborated with scholars based in China and United States. Frequent co-authors include Tao Shen, Jian Li, Xiuqing Huang, Yong Man, Xiaoxue Yu, Yang Ruan, Quan Qiu, Weiqing Tang, Beidong Chen and Mingjing Yan. Their work appears in journals such as Journal of Hazardous Materials, BioMed Research International, Oxidative Medicine and Cellular Longevity, Journal of Immunology Research 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.