Jin Ding
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Hepatology top 1%
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- RNA modifications and cancer 12
- Circular RNAs in diseases 6
- Protein Tyrosine Phosphatases 5
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- Cancer-related molecular mechanisms research 10
- NF-κB Signaling Pathways 8
- MicroRNA in disease regulation 7
- Co-authors
- Hongyang Wang (29 shared papers)Beifang Ning (18 shared papers)Wei‐Fen Xie (17 shared papers)Wen Sun (20 shared papers)Daimin Xiang (11 shared papers)Zhuo Cheng (10 shared papers)Tao Han (9 shared papers)Cheng Chen (7 shared papers)
- Journals
- Hepatology (8 papers)Journal of Hepatology (6 papers)Cancer Research (5 papers)Cancer Letters (5 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jin Ding
94 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 1.7k
- Hepatology 730
- Molecular Biology 2.6k
- Oncology 906
- Immunology 561
Countries citing papers authored by Jin Ding
This map shows the geographic impact of Jin 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 Jin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ding more than expected).
Fields of papers citing papers by Jin Ding
This network shows the impact of papers produced by Jin 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 Jin Ding. The network helps show where Jin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 276 | |
| 2 | 2016 | 262 | |
| 3 | 2008 | 202 | |
| 4 | 2010 | 200 | |
| 5 | 2016 | 193 | |
| 6 | 2016 | 190 | |
| 7 | 2017 | 185 | |
| 8 | 2012 | 177 | |
| 9 | 2017 | 146 | |
| 10 | 2019 | 138 | |
| 11 | 2016 | 128 | |
| 12 | 2015 | 126 | |
| 13 | 2017 | 106 | |
| 14 | 2019 | 102 | |
| 15 | 2018 | 102 | |
| 16 | 2018 | 102 | |
| 17 | 2020 | 101 | |
| 18 | 2012 | 91 | |
| 19 | 2019 | 91 | |
| 20 | 2014 | 91 |
About Jin Ding
Jin Ding is a scholar working on Molecular Biology, Cancer Research, Hepatology, Oncology and Immunology, having authored 96 papers that have together received 4.9k indexed citations. Recurring topics across this work include Liver physiology and pathology (12 papers), RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (10 papers), NF-κB Signaling Pathways (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Protein Tyrosine Phosphatases (5 papers). The work is most often cited by research in Cancer Research (1.7k citations), Hepatology (730 citations), Molecular Biology (2.6k citations), Oncology (906 citations) and Immunology (561 citations). Jin Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongyang Wang, Beifang Ning, Wei‐Fen Xie, Wen Sun, Daimin Xiang, Zhuo Cheng, Tao Han, Cheng Chen, Gen‐Sheng Feng and Kun Wu. Their work appears in journals such as Hepatology, Journal of Hepatology, Cancer Research, Cancer Letters and Journal of Biological Chemistry.
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.