Zhen‐Bin Ding
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 38
- Pancreatic and Hepatic Oncology Research 13
- Peptidase Inhibition and Analysis 8
- Co-authors
- Jia Fan (73 shared papers)Ying‐Hong Shi (49 shared papers)Jian Zhou (46 shared papers)Ai‐Wu Ke (25 shared papers)Shuang–Jian Qiu (21 shared papers)Guo‐Ming Shi (15 shared papers)Xiaoying Wang (20 shared papers)Zhi Dai (20 shared papers)
In The Last Decade
Zhen‐Bin Ding
82 papers receiving 4.1k citations
Zhen‐Bin Ding's Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 1.1k
- Hepatology 570
- Oncology 1.3k
- Immunology 806
- Immunology and Allergy 200
Countries citing papers authored by Zhen‐Bin Ding
This map shows the geographic impact of Zhen‐Bin 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 Zhen‐Bin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen‐Bin Ding more than expected).
Fields of papers citing papers by Zhen‐Bin Ding
This network shows the impact of papers produced by Zhen‐Bin 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 Zhen‐Bin Ding. The network helps show where Zhen‐Bin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhen‐Bin 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 236 | |
| 2 | 2013 | 229 | |
| 3 | CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor Hit paper breakdown → | 2023 | 209 |
| 4 | 2014 | 192 | |
| 5 | 2008 | 184 | |
| 6 | 2013 | 182 | |
| 7 | 2011 | 155 | |
| 8 | 2011 | 147 | |
| 9 | 2013 | 138 | |
| 10 | 2012 | 136 | |
| 11 | 2008 | 127 | |
| 12 | 2011 | 122 | |
| 13 | 2018 | 114 | |
| 14 | 2018 | 113 | |
| 15 | 2010 | 106 | |
| 16 | 2017 | 95 | |
| 17 | 2015 | 91 | |
| 18 | 2012 | 87 | |
| 19 | 2014 | 80 | |
| 20 | 2009 | 76 |
About Zhen‐Bin Ding
Zhen‐Bin Ding is a scholar working on Oncology, Molecular Biology, Hepatology, Surgery and Cancer Research, having authored 89 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Pancreatic and Hepatic Oncology Research (13 papers), Autophagy in Disease and Therapy (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Immune cells in cancer (8 papers), Peptidase Inhibition and Analysis (8 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Cancer Research (1.1k citations), Hepatology (570 citations), Oncology (1.3k citations), Immunology (806 citations) and Immunology and Allergy (200 citations). Zhen‐Bin Ding has collaborated with scholars based in China, Ethiopia and India. Frequent co-authors include Jia Fan, Ying‐Hong Shi, Jian Zhou, Ai‐Wu Ke, Shuang–Jian Qiu, Guo‐Ming Shi, Xiaoying Wang, Zhi Dai, Yuan‐Fei Peng and Qiang Gao. Their work appears in journals such as Hepatology, BMC Cancer, PLoS ONE, Cancer and Clinical Cancer Research.
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.