Hanying Ding
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Heavy Metal Exposure and Toxicity
Papers in
-
- Circular RNAs in diseases 2
- Kruppel-like factors research 1
- Protein Tyrosine Phosphatases 1
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Sheng Nie (3 shared papers)Fan Fan Hou (1 shared paper)Xin Xu (1 shared paper)Chen‐Yu Zhang (7 shared papers)Ke Zen (4 shared papers)Yujing Zhang (3 shared papers)Xiaohong Jiang (3 shared papers)Dongxia Hou (3 shared papers)
- Journals
- Molecular Therapy (1 paper)Nature Communications (1 paper)Atherosclerosis (1 paper)European Journal of Pharmacology (1 paper)Advanced Science (1 paper)
- Partner nations
- China
In The Last Decade
Hanying Ding
13 papers receiving 914 citations
Peers
Comparison fields: 5 of 119
- Cancer Research 290
- Health, Toxicology and Mutagenesis 158
- Nephrology 78
- Molecular Biology 385
- Pollution 64
Countries citing papers authored by Hanying Ding
This map shows the geographic impact of Hanying 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 Hanying Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanying Ding more than expected).
Fields of papers citing papers by Hanying Ding
This network shows the impact of papers produced by Hanying 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 Hanying Ding. The network helps show where Hanying Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanying 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 363 | |
| 2 | 2011 | 163 | |
| 3 | 2015 | 127 | |
| 4 | 2016 | 69 | |
| 5 | 2016 | 63 | |
| 6 | 2021 | 52 | |
| 7 | 2014 | 30 | |
| 8 | 2022 | 27 | |
| 9 | 2019 | 15 | |
| 10 | [Correlation between liver fibrosis stage and serum liver fibrosis markers in patients with chronic hepatitis B]. | 2001 | 6 |
| 11 | 2019 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Hanying Ding
Hanying Ding is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Nephrology and Physiology, having authored 15 papers that have together received 920 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Adipose Tissue and Metabolism (2 papers), Circular RNAs in diseases (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Kruppel-like factors research (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Cancer Research (290 citations), Health, Toxicology and Mutagenesis (158 citations), Nephrology (78 citations), Molecular Biology (385 citations) and Pollution (64 citations). Hanying Ding has collaborated with scholars based in China. Frequent co-authors include Sheng Nie, Fan Fan Hou, Xin Xu, Chen‐Yu Zhang, Ke Zen, Yujing Zhang, Xiaohong Jiang, Dongxia Hou, Qipeng Zhang and Yaqin Zhang. Their work appears in journals such as Molecular Therapy, Nature Communications, Atherosclerosis, European Journal of Pharmacology and Advanced Science.
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.