Shijun Hu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Circular RNAs in diseases
Papers in
-
- Pluripotent Stem Cells Research 41
- CRISPR and Genetic Engineering 18
- Congenital heart defects research 15
- Circular RNAs in diseases 10
- Surgery 32
- Tissue Engineering and Regenerative Medicine 26
- Co-authors
- Joseph C. Wu (32 shared papers)Zhumur Ghosh (7 shared papers)Robert C. Robbins (12 shared papers)Kitchener D. Wilson (6 shared papers)Ning Sun (7 shared papers)Fangjun Jia (6 shared papers)Mei Huang (7 shared papers)Zongjin Li (6 shared papers)
- Journals
- Circulation (8 papers)Stem Cell Research & Therapy (6 papers)Circulation Research (5 papers)PLoS ONE (4 papers)Frontiers in Cell and Developmental Biology (3 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Shijun Hu
128 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 1.1k
- Molecular Biology 3.4k
- Genetics 499
- Immunology 520
- Biomaterials 320
Countries citing papers authored by Shijun Hu
This map shows the geographic impact of Shijun Hu'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 Shijun Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shijun Hu more than expected).
Fields of papers citing papers by Shijun Hu
This network shows the impact of papers produced by Shijun Hu. 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 Shijun Hu. The network helps show where Shijun Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shijun Hu, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 401 | |
| 2 | 2009 | 376 | |
| 3 | 2011 | 223 | |
| 4 | 2020 | 215 | |
| 5 | 2010 | 208 | |
| 6 | 2008 | 182 | |
| 7 | 2010 | 150 | |
| 8 | 2011 | 125 | |
| 9 | 2015 | 123 | |
| 10 | 2014 | 123 | |
| 11 | 2014 | 121 | |
| 12 | 2012 | 108 | |
| 13 | 2012 | 101 | |
| 14 | 2011 | 97 | |
| 15 | 2014 | 91 | |
| 16 | 2012 | 86 | |
| 17 | 2017 | 85 | |
| 18 | 2009 | 81 | |
| 19 | 2012 | 80 | |
| 20 | 2019 | 77 |
About Shijun Hu
Shijun Hu is a scholar working on Molecular Biology, Surgery, Cancer Research, Biomedical Engineering and Immunology, having authored 134 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (41 papers), Tissue Engineering and Regenerative Medicine (26 papers), CRISPR and Genetic Engineering (18 papers), MicroRNA in disease regulation (16 papers), Congenital heart defects research (15 papers), Circular RNAs in diseases (10 papers), Mesenchymal stem cell research (9 papers) and 3D Printing in Biomedical Research (8 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (3.4k citations), Genetics (499 citations), Immunology (520 citations) and Biomaterials (320 citations). Shijun Hu has collaborated with scholars based in China, United States and India. Frequent co-authors include Joseph C. Wu, Zhumur Ghosh, Robert C. Robbins, Kitchener D. Wilson, Ning Sun, Fangjun Jia, Mei Huang, Zongjin Li, Wei Lei and Feng Lan. Their work appears in journals such as Circulation, Stem Cell Research & Therapy, Circulation Research, PLoS ONE and Frontiers in Cell and Developmental Biology.
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.