Hai Ding
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Hepatology top 5%
- Liver physiology and pathology
Papers in
-
- Liver Disease and Transplantation 2
- Liver physiology and pathology 2
-
- Plant and Fungal Interactions Research 1
- Co-authors
- Jiangjuan Shao (6 shared papers)Shizhong Zheng (5 shared papers)Zili Zhang (4 shared papers)Feng Zhang (4 shared papers)Anping Chen (2 shared papers)Ling Wang (1 shared paper)Zhen Yao (1 shared paper)Shanzhong Tan (4 shared papers)
- Journals
- Autophagy (2 papers)British Journal of Pharmacology (1 paper)Journal of Cellular and Molecular Medicine (1 paper)Cell Communication and Signaling (1 paper)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Hai Ding
9 papers receiving 1.1k citations
Hai Ding's Hit Papers
Peers
Comparison fields: 5 of 68
- Cancer Research 325
- Hepatology 133
- Pulmonary and Respiratory Medicine 495
- Epidemiology 223
- Molecular Biology 461
Countries citing papers authored by Hai Ding
This map shows the geographic impact of Hai 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 Hai Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Ding more than expected).
Fields of papers citing papers by Hai Ding
This network shows the impact of papers produced by Hai 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 Hai Ding. The network helps show where Hai Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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 | Activation of ferritinophagy is required for the RNA-binding protein ELAVL1/HuR to regulate ferroptosis in hepatic stellate cells Hit paper breakdown → | 2018 | 398 |
| 2 | RNA-binding protein ZFP36/TTP protects against ferroptosis by regulating autophagy signaling pathway in hepatic stellate cells Hit paper breakdown → | 2019 | 378 |
| 3 | 2003 | 120 | |
| 4 | 2022 | 59 | |
| 5 | 2019 | 47 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 20 | |
| 8 | 2014 | 12 | |
| 9 | 2016 | 4 |
About Hai Ding
Hai Ding is a scholar working on Hepatology, Endocrinology, Emergency Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), Liver Disease and Transplantation (2 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Plant and Fungal Interactions Research (1 paper), Mitochondrial Function and Pathology (1 paper), Cancer-related molecular mechanisms research (1 paper) and Cardiac Arrest and Resuscitation (1 paper). The work is most often cited by research in Cancer Research (325 citations), Hepatology (133 citations), Pulmonary and Respiratory Medicine (495 citations), Epidemiology (223 citations) and Molecular Biology (461 citations). Hai Ding has collaborated with scholars based in China and United States. Frequent co-authors include Jiangjuan Shao, Shizhong Zheng, Zili Zhang, Feng Zhang, Anping Chen, Ling Wang, Zhen Yao, Shanzhong Tan, Anping Chen and Mei Guo. Their work appears in journals such as Autophagy, British Journal of Pharmacology, Journal of Cellular and Molecular Medicine, Cell Communication and Signaling and Acta Pharmaceutica Sinica B.
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.