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
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- Circular RNAs in diseases 2
- Epigenetics and DNA Methylation 1
- Protein Tyrosine Phosphatases 1
- Inflammasome and immune disorders 1
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
- Co-authors
- Sheng Nie (3 shared papers)Fan Fan Hou (2 shared papers)Xin Xu (1 shared paper)Chen‐Yu Zhang (7 shared papers)Ke Zen (4 shared papers)Yujing Zhang (3 shared papers)Dongxia Hou (3 shared papers)Xiaohong Jiang (3 shared papers)
- Journals
- Nature Communications (1 paper)Journal of Biological Chemistry (1 paper)Molecular Therapy — Nucleic Acids (1 paper)Molecular Metabolism (1 paper)EBioMedicine (1 paper)
- Partner nations
- China
In The Last Decade
Hanying Ding
12 papers receiving 932 citations
Peers
Comparison fields: 5 of 117
- Cancer Research 263
- Health, Toxicology and Mutagenesis 152
- Nephrology 65
- Pollution 62
- Molecular Biology 343
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 | 375 | |
| 2 | 2011 | 163 | |
| 3 | 2015 | 128 | |
| 4 | 2016 | 71 | |
| 5 | 2016 | 63 | |
| 6 | 2021 | 55 | |
| 7 | 2014 | 30 | |
| 8 | 2022 | 28 | |
| 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 | 2012 | 1 | |
| 13 | 2025 | 0 |
About Hanying Ding
Hanying Ding is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Nephrology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 938 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Energy and Environment Impacts (1 paper), Epigenetics and DNA Methylation (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Protein Tyrosine Phosphatases (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Cancer Research (263 citations), Health, Toxicology and Mutagenesis (152 citations), Nephrology (65 citations), Pollution (62 citations) and Molecular Biology (343 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, Dongxia Hou, Xiaohong Jiang, Xuejiao Chen and Linping Wu. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Molecular Therapy — Nucleic Acids, Molecular Metabolism and EBioMedicine.
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.