Ding Ding
Impact in
-
- Autoimmune Neurological Disorders and Treatments
- Peripheral Neuropathies and Disorders
Papers in
- Surgery 4
- Lipoproteins and Cardiovascular Health 2
- Gastrointestinal disorders and treatments 1
-
- Chronic Kidney Disease and Diabetes 1
- Co-authors
- Wenhua Ling (16 shared papers)Xinrui Li (10 shared papers)Dongfang Su (10 shared papers)Yuan Zhang (9 shared papers)Min Xia (8 shared papers)Jian Qiu (7 shared papers)Gang Hu (11 shared papers)Zhongxia Li (7 shared papers)
- Journals
- PLoS ONE (3 papers)Oncotarget (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Atherosclerosis (2 papers)Heart (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ding Ding
27 papers receiving 735 citations
Peers
Comparison fields: 5 of 88
- Nephrology 35
- Neurology 65
- Cancer Research 55
- Endocrinology, Diabetes and Metabolism 54
- Pathology and Forensic Medicine 56
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 | 2021 | 93 | |
| 2 | 2018 | 92 | |
| 3 | 2013 | 78 | |
| 4 | 2015 | 56 | |
| 5 | 2022 | 54 | |
| 6 | 2016 | 45 | |
| 7 | 2013 | 44 | |
| 8 | 2018 | 32 | |
| 9 | 2014 | 31 | |
| 10 | 2017 | 31 | |
| 11 | 2015 | 28 | |
| 12 | 2018 | 25 | |
| 13 | 2013 | 17 | |
| 14 | 2014 | 17 | |
| 15 | 2015 | 16 | |
| 16 | 2016 | 12 | |
| 17 | 2016 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2020 | 9 | |
| 20 | 2020 | 9 |
About Ding Ding
Ding Ding is a scholar working on Surgery, Nephrology, Nutrition and Dietetics, Molecular Biology and Epidemiology, having authored 27 papers that have together received 745 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Older Adults Driving Studies (1 paper), Gastrointestinal disorders and treatments (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Nephrology (35 citations), Neurology (65 citations), Cancer Research (55 citations), Endocrinology, Diabetes and Metabolism (54 citations) and Pathology and Forensic Medicine (56 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, Min Xia, Jian Qiu, Gang Hu, Zhongxia Li, Yu‐Ming Chen and Qing Li. Their work appears in journals such as PLoS ONE, Oncotarget, The Journal of Clinical Endocrinology & Metabolism, Atherosclerosis and Heart.
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.