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
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- Microbial Fuel Cells and Bioremediation 3
- Co-authors
- Tao Shen (10 shared papers)Xiuqing Huang (7 shared papers)Jian Li (7 shared papers)Yong Man (5 shared papers)Yang Ruan (3 shared papers)Xiaoxue Yu (6 shared papers)Weiqing Tang (5 shared papers)Beidong Chen (4 shared papers)
- Journals
- BioMed Research International (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)Journal of Hazardous Materials (2 papers)Signal Transduction and Targeted Therapy (1 paper)Current Issues in Molecular Biology (1 paper)
- Partner nations
- ChinaBangladeshUnited States
In The Last Decade
Que Wang
19 papers receiving 424 citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 157
- Physiology 21
- Cancer Research 40
- Oncology 62
- Pollution 29
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 | 87 | |
| 2 | 2019 | 86 | |
| 3 | 2020 | 47 | |
| 4 | 2024 | 32 | |
| 5 | 2021 | 26 | |
| 6 | 2019 | 25 | |
| 7 | 2023 | 18 | |
| 8 | 2017 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 2 | |
| 18 | A soft computing approach to prediction of wheel induced rut depth: Appraisal of Artificial Neural Network | 2016 | 2 |
| 19 | 2020 | 1 | |
| 20 | 2026 | 0 |
About Que Wang
Que Wang is a scholar working on Cardiology and Cardiovascular Medicine, Environmental Engineering, Biophysics, Pathology and Forensic Medicine and Molecular Biology, having authored 20 papers that have together received 427 indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Microbial Fuel Cells and Bioremediation (3 papers), Autophagy in Disease and Therapy (3 papers), Electron Spin Resonance Studies (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Microbial Community Ecology and Physiology (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (157 citations), Physiology (21 citations), Cancer Research (40 citations), Oncology (62 citations) and Pollution (29 citations). Que Wang has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Tao Shen, Xiuqing Huang, Jian Li, Yong Man, Yang Ruan, Xiaoxue Yu, Weiqing Tang, Beidong Chen, Mingjing Yan and Quan Qiu. Their work appears in journals such as BioMed Research International, Oxidative Medicine and Cellular Longevity, Journal of Hazardous Materials, Signal Transduction and Targeted Therapy and Current Issues in Molecular Biology.
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.