Ding Ding
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Peripheral Neuropathies and Disorders
- Autoimmune Neurological Disorders and Treatments
Papers in
- Surgery 10
- Lipoproteins and Cardiovascular Health 5
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- Cardiovascular Disease and Adiposity 2
- Cardiovascular Function and Risk Factors 2
- Co-authors
- Wenhua Ling (16 shared papers)Xinrui Li (10 shared papers)Dongfang Su (10 shared papers)Yuan Zhang (9 shared papers)Gang Hu (11 shared papers)Min Xia (8 shared papers)Jian Qiu (7 shared papers)Zhongxia Li (7 shared papers)
- Journals
- PLoS ONE (3 papers)Atherosclerosis (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Oncotarget (2 papers)Multiple Sclerosis and Related Disorders (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ding Ding
26 papers receiving 706 citations
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 105
- Neurology 87
- Cardiology and Cardiovascular Medicine 120
- Nephrology 37
- Pathology and Forensic Medicine 85
Countries citing papers authored by Ding Ding
This map shows the geographic impact of Ding Ding'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 Ding Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Ding more than expected).
Fields of papers citing papers by Ding Ding
This network shows the impact of papers produced by Ding Ding. 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 Ding Ding. The network helps show where Ding Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Ding, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 91 | |
| 2 | 2021 | 86 | |
| 3 | 2013 | 73 | |
| 4 | 2015 | 54 | |
| 5 | 2022 | 49 | |
| 6 | 2016 | 44 | |
| 7 | 2013 | 44 | |
| 8 | 2018 | 31 | |
| 9 | 2014 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2015 | 27 | |
| 12 | 2018 | 25 | |
| 13 | 2013 | 17 | |
| 14 | 2014 | 17 | |
| 15 | 2015 | 15 | |
| 16 | 2016 | 12 | |
| 17 | 2016 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2016 | 9 | |
| 20 | 2020 | 9 |
About Ding Ding
Ding Ding is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 27 papers that have together received 716 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Fatty Acid Research and Health (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Vitamin D Research Studies (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (105 citations), Neurology (87 citations), Cardiology and Cardiovascular Medicine (120 citations), Nephrology (37 citations) and Pathology and Forensic Medicine (85 citations). Ding Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wenhua Ling, Xinrui Li, Dongfang Su, Yuan Zhang, Gang Hu, Min Xia, Jian Qiu, Zhongxia Li, Yu‐Ming Chen and Dongliang Wang. Their work appears in journals such as PLoS ONE, Atherosclerosis, The Journal of Clinical Endocrinology & Metabolism, Oncotarget and Multiple Sclerosis and Related 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.