Weidan Ji
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- Bioactive natural compounds
- RNA modifications and cancer
- RNA Interference and Gene Delivery
Papers in
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- Circular RNAs in diseases 3
- RNA Interference and Gene Delivery 2
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
- Co-authors
- Changqing Su (27 shared papers)Bin Sun (11 shared papers)Zhangxiao Peng (11 shared papers)Yang Xu (6 shared papers)Quangen Gao (3 shared papers)Yan Liu (2 shared papers)Haihua Qian (8 shared papers)Mengchao Wu (6 shared papers)
- Journals
- Cancer Letters (7 papers)Oncotarget (6 papers)PLoS ONE (3 papers)BioMed Research International (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Weidan Ji
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 459
- Molecular Biology 835
- Oncology 209
- Hepatology 59
- Toxicology 25
Countries citing papers authored by Weidan Ji
This map shows the geographic impact of Weidan Ji'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 Weidan Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weidan Ji more than expected).
Fields of papers citing papers by Weidan Ji
This network shows the impact of papers produced by Weidan Ji. 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 Weidan Ji. The network helps show where Weidan Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Weidan Ji, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 189 | |
| 2 | 2013 | 155 | |
| 3 | 2017 | 142 | |
| 4 | 2020 | 87 | |
| 5 | 2017 | 71 | |
| 6 | 2013 | 70 | |
| 7 | 2012 | 65 | |
| 8 | 2015 | 56 | |
| 9 | 2018 | 43 | |
| 10 | 2016 | 40 | |
| 11 | 2013 | 39 | |
| 12 | 2013 | 35 | |
| 13 | 2021 | 33 | |
| 14 | 2014 | 31 | |
| 15 | 2012 | 28 | |
| 16 | 2011 | 25 | |
| 17 | 2017 | 25 | |
| 18 | 2016 | 20 | |
| 19 | 2014 | 20 | |
| 20 | 2015 | 17 |
About Weidan Ji
Weidan Ji is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Genetics, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Liver physiology and pathology (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Virus-based gene therapy research (4 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA Interference and Gene Delivery (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (459 citations), Molecular Biology (835 citations), Oncology (209 citations), Hepatology (59 citations) and Toxicology (25 citations). Weidan Ji has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Changqing Su, Bin Sun, Zhangxiao Peng, Yang Xu, Quangen Gao, Yan Liu, Haihua Qian, Mengchao Wu, Xiaoya Li and Jianhui Fan. Their work appears in journals such as Cancer Letters, Oncotarget, PLoS ONE, BioMed Research International and BMJ Open.
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.