Di Ding
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Liver physiology and pathology
Papers in
- Oncology 6
- Peptidase Inhibition and Analysis 3
- Cancer Cells and Metastasis 2
- Co-authors
- Xiuping Liu (10 shared papers)Qiang Zou (4 shared papers)Yiting Jin (3 shared papers)Haiping Yang (3 shared papers)Hong Ren (1 shared paper)Peizhun Du (1 shared paper)Lili Tao (5 shared papers)Lei Wang (2 shared papers)
- Journals
- IEEE Access (3 papers)Journal of Cancer (2 papers)Scientific Reports (1 paper)Journal of materials research/Pratt's guide to venture capital sources (1 paper)Clinical Neuropathology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Di Ding
17 papers receiving 304 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 127
- Hepatology 30
- Molecular Biology 180
- Oncology 51
- Epidemiology 47
Countries citing papers authored by Di Ding
This map shows the geographic impact of Di 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 Di Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Ding more than expected).
Fields of papers citing papers by Di Ding
This network shows the impact of papers produced by Di 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 Di Ding. The network helps show where Di Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Di 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 63 | |
| 2 | 2016 | 48 | |
| 3 | 2014 | 39 | |
| 4 | 2016 | 28 | |
| 5 | 2012 | 27 | |
| 6 | 2018 | 24 | |
| 7 | The role of C/EBP-α expression in human liver and liver fibrosis and its relationship with autophagy. | 2015 | 15 |
| 8 | 2015 | 14 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2025 | 5 | |
| 14 | 2017 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2025 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2026 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2019 | 0 |
About Di Ding
Di Ding is a scholar working on Molecular Biology, Oncology, Surgery, Epidemiology and Aerospace Engineering, having authored 22 papers that have together received 305 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Peptidase Inhibition and Analysis (3 papers), MicroRNA in disease regulation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer Cells and Metastasis (2 papers), Electromagnetic wave absorption materials (2 papers), Advanced Antenna and Metasurface Technologies (2 papers) and Metamaterials and Metasurfaces Applications (2 papers). The work is most often cited by research in Cancer Research (127 citations), Hepatology (30 citations), Molecular Biology (180 citations), Oncology (51 citations) and Epidemiology (47 citations). Di Ding has collaborated with scholars based in China and United States. Frequent co-authors include Xiuping Liu, Qiang Zou, Yiting Jin, Haiping Yang, Hong Ren, Peizhun Du, Lili Tao, Lei Wang, Juan Yu and Zu‐De Xu. Their work appears in journals such as IEEE Access, Journal of Cancer, Scientific Reports, Journal of materials research/Pratt's guide to venture capital sources and Clinical Neuropathology.
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.