Qing Su
- Modeling and Simulation top 1%
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- Diabetes Treatment and Management 17
- Diet, Metabolism, and Disease 16
- Thyroid Disorders and Treatments 12
- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Biochemistry top 5%
- Nutrition and Dietetics top 5%
- Hepatology top 5%
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- Liver Disease Diagnosis and Treatment 22
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- Metabolism, Diabetes, and Cancer 12
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- Diabetes and associated disorders 11
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- Diet and metabolism studies 10
- Journals
- BMC Endocrine Disorders (6 papers)Frontiers in Endocrinology (5 papers)Journal of Diabetes (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qing Su
156 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 164
- Modeling and Simulation 294
- Endocrinology, Diabetes and Metabolism 745
- Biochemistry 156
- Nutrition and Dietetics 295
- Hepatology 151
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 19 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 53 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 1 | |
| 16 | 2016 | 23 | |
| 17 | 2016 | 1 | |
| 18 | 2013 | 12 | |
| 19 | The safety and efficacy of initiating insulin therapy in Chinese patients with type 2 diabetes mellitus inadequately controlled with previous oral antidiabetic drugs | 2011 | 7 |
| 20 | 2006 | 1 |
About Qing Su
Qing Su is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Physiology, having authored 167 papers that have together received 3.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (22 papers), Diabetes Treatment and Management (17 papers), Diet, Metabolism, and Disease (16 papers), Thyroid Disorders and Treatments (12 papers), Metabolism, Diabetes, and Cancer (12 papers), Diabetes and associated disorders (11 papers), Diet and metabolism studies (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). The work is most often cited by research in Modeling and Simulation (294 citations), Endocrinology, Diabetes and Metabolism (745 citations), Biochemistry (156 citations), Nutrition and Dietetics (295 citations) and Hepatology (151 citations). Qing Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongmei Zhang, Li Qin, Yixin Niu, Kevin Rowley, Zhen Yang, Guang Ning, Zhijie Zhang, Michael P. Ward, Wei Tu and Hongchao Qi. Their work appears in journals such as BMC Endocrine Disorders, Frontiers in Endocrinology, Journal of Diabetes, PLoS ONE 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.