Qing Su
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Biological Psychiatry top 5%
Papers in
- Surgery 13
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 12
- Co-authors
- Yu‐Ming Kang (29 shared papers)Hong‐Bao Li (29 shared papers)Guo‐Qing Zhu (20 shared papers)Xiao‐Jing Yu (20 shared papers)Xiaojun Wang (13 shared papers)Shengru Long (12 shared papers)Jie Qi (13 shared papers)Xiao‐Lian Shi (9 shared papers)
- Journals
- Toxicology and Applied Pharmacology (7 papers)Cardiovascular Toxicology (6 papers)Separation and Purification Technology (4 papers)PLoS ONE (3 papers)Toxicology Letters (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Qing Su
96 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 124
- Behavioral Neuroscience 127
- Biological Psychiatry 64
- Endocrine and Autonomic Systems 146
- Biochemistry 100
- Nutrition and Dietetics 163
Countries citing papers authored by Qing Su
This map shows the geographic impact of Qing Su'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 Qing Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Su more than expected).
Fields of papers citing papers by Qing Su
This network shows the impact of papers produced by Qing Su. 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 Qing Su. The network helps show where Qing Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 102 | |
| 2 | 2017 | 100 | |
| 3 | 2014 | 81 | |
| 4 | 2013 | 60 | |
| 5 | 2015 | 56 | |
| 6 | 2019 | 55 | |
| 7 | 2015 | 52 | |
| 8 | 2016 | 50 | |
| 9 | 2013 | 50 | |
| 10 | 2021 | 50 | |
| 11 | 2021 | 48 | |
| 12 | 2019 | 48 | |
| 13 | 2018 | 45 | |
| 14 | 2012 | 43 | |
| 15 | 2018 | 42 | |
| 16 | 2021 | 42 | |
| 17 | 2022 | 41 | |
| 18 | 2013 | 41 | |
| 19 | 2008 | 38 | |
| 20 | 2015 | 36 |
About Qing Su
Qing Su is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering and Endocrinology, Diabetes and Metabolism, having authored 100 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (12 papers), Renin-Angiotensin System Studies (9 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Stress Responses and Cortisol (7 papers), Aerosol Filtration and Electrostatic Precipitation (6 papers), Apelin-related biomedical research (5 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Behavioral Neuroscience (127 citations), Biological Psychiatry (64 citations), Endocrine and Autonomic Systems (146 citations), Biochemistry (100 citations) and Nutrition and Dietetics (163 citations). Qing Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yu‐Ming Kang, Hong‐Bao Li, Guo‐Qing Zhu, Xiao‐Jing Yu, Xiaojun Wang, Shengru Long, Jie Qi, Xiao‐Lian Shi, Ying Li and Yu-Wang Miao. Their work appears in journals such as Toxicology and Applied Pharmacology, Cardiovascular Toxicology, Separation and Purification Technology, PLoS ONE and Toxicology Letters.
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.