Qing Su
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
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- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
Papers in
-
- Thyroid Disorders and Treatments 11
- Diet, Metabolism, and Disease 8
-
- Metabolism, Diabetes, and Cancer 7
- Co-authors
- Hongmei Zhang (42 shared papers)Li Qin (37 shared papers)Yixin Niu (33 shared papers)Zhen Yang (27 shared papers)Kevin Rowley (6 shared papers)Guang Ning (19 shared papers)Zhijie Zhang (6 shared papers)Michael P. Ward (3 shared papers)
- Journals
- BMC Endocrine Disorders (6 papers)Frontiers in Endocrinology (5 papers)PLoS ONE (4 papers)Journal of Diabetes (4 papers)BMC Cardiovascular Disorders (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qing Su
160 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 161
- Modeling and Simulation 273
- Endocrinology, Diabetes and Metabolism 550
- Biochemistry 140
- Nutrition and Dietetics 266
- Nephrology 118
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 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 368 | |
| 2 | 2012 | 278 | |
| 3 | 2012 | 174 | |
| 4 | 2018 | 94 | |
| 5 | 2002 | 86 | |
| 6 | 2017 | 76 | |
| 7 | 2016 | 66 | |
| 8 | 2015 | 64 | |
| 9 | 2002 | 63 | |
| 10 | 2014 | 63 | |
| 11 | 2003 | 59 | |
| 12 | 2022 | 56 | |
| 13 | 2014 | 56 | |
| 14 | 2009 | 51 | |
| 15 | 2001 | 51 | |
| 16 | 2022 | 50 | |
| 17 | 2016 | 48 | |
| 18 | 2021 | 47 | |
| 19 | 1989 | 47 | |
| 20 | 2020 | 45 |
About Qing Su
Qing Su is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Physiology, having authored 170 papers that have together received 3.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Thyroid Disorders and Treatments (11 papers), Diet, Metabolism, and Disease (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Diabetes and associated disorders (6 papers), Adipose Tissue and Metabolism (5 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Advanced Glycation End Products research (5 papers). The work is most often cited by research in Modeling and Simulation (273 citations), Endocrinology, Diabetes and Metabolism (550 citations), Biochemistry (140 citations), Nutrition and Dietetics (266 citations) and Nephrology (118 citations). Qing Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongmei Zhang, Li Qin, Yixin Niu, Zhen Yang, Kevin Rowley, Guang Ning, Zhijie Zhang, Michael P. Ward, Hongchao Qi and Wei Tu. Their work appears in journals such as BMC Endocrine Disorders, Frontiers in Endocrinology, PLoS ONE, Journal of Diabetes and BMC Cardiovascular Disorders.
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.