Ning Zu
Impact in
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- Diabetes Treatment and Management
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- Inflammatory Myopathies and Dermatomyositis
Papers in
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- Diabetes Treatment and Management 5
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- Inflammatory Myopathies and Dermatomyositis 4
- Co-authors
- Lu Zhang (2 shared papers)Li Ma (2 shared papers)Freddy G. Eliaschewitz (3 shared papers)Ming Liu (3 shared papers)Guoyue Yuan (3 shared papers)Guochun Wang (2 shared papers)Li Ma (1 shared paper)Yiming Mu (2 shared papers)
In The Last Decade
Ning Zu
17 papers receiving 476 citations
Ning Zu's Hit Papers
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 130
- Epidemiology 199
- Rheumatology 66
- Cardiology and Cardiovascular Medicine 48
- Pharmacology 37
Countries citing papers authored by Ning Zu
This map shows the geographic impact of Ning Zu'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 Ning Zu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Zu more than expected).
Fields of papers citing papers by Ning Zu
This network shows the impact of papers produced by Ning Zu. 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 Ning Zu. The network helps show where Ning Zu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Zu, 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 | 2012 | 136 | |
| 2 | 2020 | 79 | |
| 3 | Efficacy and safety of once weekly semaglutide 2·4 mg for weight management in a predominantly east Asian population with overweight or obesity (STEP 7): a double-blind, multicentre, randomised controlled trial Hit paper breakdown → | 2024 | 69 |
| 4 | 2012 | 54 | |
| 5 | 2013 | 31 | |
| 6 | 2012 | 30 | |
| 7 | 2005 | 28 | |
| 8 | 2005 | 16 | |
| 9 | 2007 | 14 | |
| 10 | 2013 | 11 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2020 | 2 | |
| 14 | [The expression of the type I interferon system in muscle and lung of autoimmune myositis rat model]. | 2011 | 2 |
| 15 | Orexin A influence progesterone secreted and the content of cAMP in sheep ovarian granulosa cells. | 2017 | 1 |
| 16 | 2017 | 1 | |
| 17 | 2017 | 1 |
About Ning Zu
Ning Zu is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Rheumatology, Sociology and Political Science and Immunology, having authored 17 papers that have together received 483 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Impact of Technology on Adolescents (2 papers), Education and Communication Studies (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Technology-Enhanced Education Studies (2 papers), Lymphatic Disorders and Treatments (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Epidemiology (199 citations), Rheumatology (66 citations), Cardiology and Cardiovascular Medicine (48 citations) and Pharmacology (37 citations). Ning Zu has collaborated with scholars based in China, Denmark and Canada. Frequent co-authors include Lu Zhang, Li Ma, Freddy G. Eliaschewitz, Ming Liu, Guoyue Yuan, Guochun Wang, Li Ma, Yiming Mu, Morten Hansen and Bom Taeck Kim. Their work appears in journals such as Diabetes Obesity and Metabolism, Clinical Rheumatology, Biochemistry and Cell Biology, Nephron Experimental Nephrology and The Lancet Diabetes & Endocrinology.
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.