Dafa Ding
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Renal Diseases and Glomerulopathies 6
- Chronic Kidney Disease and Diabetes 6
-
- Cancer-related molecular mechanisms research 5
- Co-authors
- Xiaolong Ye (11 shared papers)Yibing Lu (12 shared papers)Heng Miao (6 shared papers)Yibing Lu (5 shared papers)Yayun Wang (3 shared papers)You Na (5 shared papers)Jiarong Xu (4 shared papers)Qun Zhu (3 shared papers)
- Journals
- Oncology Reports (2 papers)Endocrine Research (1 paper)BMC Cancer (1 paper)World Journal of Diabetes (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Dafa Ding
23 papers receiving 879 citations
Peers
Comparison fields: 5 of 69
- Nephrology 233
- Geriatrics and Gerontology 82
- Cancer Research 91
- Molecular Biology 353
- Endocrinology, Diabetes and Metabolism 60
Countries citing papers authored by Dafa Ding
This map shows the geographic impact of Dafa 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 Dafa Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dafa Ding more than expected).
Fields of papers citing papers by Dafa Ding
This network shows the impact of papers produced by Dafa 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 Dafa Ding. The network helps show where Dafa Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Dafa 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 177 | |
| 2 | 2017 | 95 | |
| 3 | 2010 | 93 | |
| 4 | 2015 | 88 | |
| 5 | 2020 | 67 | |
| 6 | 2022 | 50 | |
| 7 | 2018 | 44 | |
| 8 | 2018 | 41 | |
| 9 | 2023 | 39 | |
| 10 | 2016 | 32 | |
| 11 | 2017 | 29 | |
| 12 | MicroRNA-134-5p promotes high glucose-induced podocyte apoptosis by targeting bcl-2. | 2018 | 24 |
| 13 | 2023 | 23 | |
| 14 | 2018 | 19 | |
| 15 | 2019 | 19 | |
| 16 | 2020 | 12 | |
| 17 | 2019 | 9 | |
| 18 | 2024 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2020 | 5 |
About Dafa Ding
Dafa Ding is a scholar working on Nephrology, Cancer Research, Geriatrics and Gerontology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 886 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (6 papers), Chronic Kidney Disease and Diabetes (6 papers), Gut microbiota and health (5 papers), Cancer-related molecular mechanisms research (5 papers), Sirtuins and Resveratrol in Medicine (3 papers), Extracellular vesicles in disease (2 papers), Magnolia and Illicium research (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Nephrology (233 citations), Geriatrics and Gerontology (82 citations), Cancer Research (91 citations), Molecular Biology (353 citations) and Endocrinology, Diabetes and Metabolism (60 citations). Dafa Ding has collaborated with scholars based in China and United States. Frequent co-authors include Xiaolong Ye, Yibing Lu, Heng Miao, Yibing Lu, Yayun Wang, You Na, Jiarong Xu, Qun Zhu, Qiang You and Jian‐Hua Mao. Their work appears in journals such as Oncology Reports, Endocrine Research, BMC Cancer, World Journal of Diabetes and Oncotarget.
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.