Fang Ding
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- Cancer-related gene regulation
Papers in
-
- Peroxisome Proliferator-Activated Receptors 8
- Circular RNAs in diseases 5
- Epigenetics and DNA Methylation 4
- S100 Proteins and Annexins 4
-
- MicroRNA in disease regulation 7
- Co-authors
- Zhihua Liu (23 shared papers)Aiping Luo (14 shared papers)Guosheng Fu (7 shared papers)Hongyan Chen (5 shared papers)Y Li (2 shared papers)Sheng Li (2 shared papers)Zhihua Liu (3 shared papers)Xiaoping Miao (2 shared papers)
- Journals
- Cancer Letters (3 papers)Oncogene (3 papers)PLoS ONE (3 papers)International Journal of Molecular Sciences (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Fang Ding
75 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 573
- Molecular Biology 1.2k
- Oncology 393
- Immunology 209
- Clinical Biochemistry 61
Countries citing papers authored by Fang Ding
This map shows the geographic impact of Fang 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 Fang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Ding more than expected).
Fields of papers citing papers by Fang Ding
This network shows the impact of papers produced by Fang 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 Fang Ding. The network helps show where Fang Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 198 | |
| 2 | 2005 | 149 | |
| 3 | 2019 | 108 | |
| 4 | 2011 | 82 | |
| 5 | 2019 | 65 | |
| 6 | 2017 | 64 | |
| 7 | 2019 | 54 | |
| 8 | 2005 | 54 | |
| 9 | 2007 | 52 | |
| 10 | 2016 | 48 | |
| 11 | 2020 | 45 | |
| 12 | 2004 | 39 | |
| 13 | 2015 | 38 | |
| 14 | 2020 | 37 | |
| 15 | 2017 | 37 | |
| 16 | 2002 | 36 | |
| 17 | 2018 | 36 | |
| 18 | 2016 | 35 | |
| 19 | 2018 | 34 | |
| 20 | 2013 | 32 |
About Fang Ding
Fang Ding is a scholar working on Molecular Biology, Cancer Research, Oncology, Physiology and Surgery, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers), Fatty Acid Research and Health (5 papers), Epigenetics and DNA Methylation (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), S100 Proteins and Annexins (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cancer Research (573 citations), Molecular Biology (1.2k citations), Oncology (393 citations), Immunology (209 citations) and Clinical Biochemistry (61 citations). Fang Ding has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhihua Liu, Aiping Luo, Guosheng Fu, Hongyan Chen, Y Li, Sheng Li, Zhihua Liu, Xiaoping Miao, Shengjie Xu and Jiajia Gao. Their work appears in journals such as Cancer Letters, Oncogene, PLoS ONE, International Journal of Molecular Sciences and Oncotarget.
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.