Fangjun Jia
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
Papers in
-
- Pluripotent Stem Cells Research 5
- RNA Interference and Gene Delivery 4
- CRISPR and Genetic Engineering 3
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- Biomedical Ethics and Regulation 2
- Co-authors
- Joseph C. Wu (12 shared papers)Robert C. Robbins (10 shared papers)Ning Sun (6 shared papers)Kitchener D. Wilson (6 shared papers)Mei Huang (7 shared papers)Zongjin Li (6 shared papers)Shijun Hu (6 shared papers)Michael T. Longaker (4 shared papers)
- Journals
- Circulation (5 papers)Gene (1 paper)Circulation Cardiovascular Genetics (1 paper)Nature Methods (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Fangjun Jia
16 papers receiving 2.2k citations
Fangjun Jia's Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 546
- Molecular Biology 1.8k
- Genetics 207
- Surgery 417
- Biomaterials 120
Countries citing papers authored by Fangjun Jia
This map shows the geographic impact of Fangjun Jia'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 Fangjun Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangjun Jia more than expected).
Fields of papers citing papers by Fangjun Jia
This network shows the impact of papers produced by Fangjun Jia. 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 Fangjun Jia. The network helps show where Fangjun Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangjun Jia, 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 | A nonviral minicircle vector for deriving human iPS cells Hit paper breakdown → | 2010 | 539 |
| 2 | MicroRNA-210 as a Novel Therapy for Treatment of Ischemic Heart Disease Hit paper breakdown → | 2010 | 404 |
| 3 | 2009 | 378 | |
| 4 | 2009 | 183 | |
| 5 | 2010 | 151 | |
| 6 | 2010 | 150 | |
| 7 | 2011 | 125 | |
| 8 | 2009 | 91 | |
| 9 | 2009 | 80 | |
| 10 | 2008 | 76 | |
| 11 | 2011 | 66 | |
| 12 | 2008 | 12 | |
| 13 | 2006 | 11 | |
| 14 | 2017 | 4 | |
| 15 | 2005 | 3 | |
| 16 | 2009 | 1 |
About Fangjun Jia
Fangjun Jia is a scholar working on Molecular Biology, Physiology, Cancer Research, Surgery and Pollution, having authored 16 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), RNA Interference and Gene Delivery (4 papers), CRISPR and Genetic Engineering (3 papers), Biomedical Ethics and Regulation (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Animal Virus Infections Studies (1 paper) and Microplastics and Plastic Pollution (1 paper). The work is most often cited by research in Cancer Research (546 citations), Molecular Biology (1.8k citations), Genetics (207 citations), Surgery (417 citations) and Biomaterials (120 citations). Fangjun Jia has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Joseph C. Wu, Robert C. Robbins, Ning Sun, Kitchener D. Wilson, Mei Huang, Zongjin Li, Shijun Hu, Michael T. Longaker, Mark A. Kay and Deepak Gupta. Their work appears in journals such as Circulation, Gene, Circulation Cardiovascular Genetics, Nature Methods and Nature Protocols.
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.