Dan Shu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
Papers in
-
- RNA Interference and Gene Delivery 39
- Advanced biosensing and bioanalysis techniques 38
- RNA and protein synthesis mechanisms 21
- Genomics and Phylogenetic Studies 4
- Ecology 20
- Bacteriophages and microbial interactions 20
- Co-authors
- Peixuan Guo (56 shared papers)Farzin Haque (13 shared papers)Yi Shu (8 shared papers)Gaofeng Xiong (3 shared papers)Ren Xu (2 shared papers)B. Mark Evers (2 shared papers)Hongran Yin (4 shared papers)Yi Shu (3 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Molecular Therapy (4 papers)ACS Nano (4 papers)Molecular Therapy — Nucleic Acids (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Shu
115 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 676
- Molecular Biology 3.3k
- Biomaterials 342
- Ecology 641
- Structural Biology 33
Countries citing papers authored by Dan Shu
This map shows the geographic impact of Dan Shu'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 Dan Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Shu more than expected).
Fields of papers citing papers by Dan Shu
This network shows the impact of papers produced by Dan Shu. 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 Dan Shu. The network helps show where Dan Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Shu, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 368 | |
| 2 | 2015 | 240 | |
| 3 | 2013 | 219 | |
| 4 | 2012 | 169 | |
| 5 | 2004 | 161 | |
| 6 | 2019 | 144 | |
| 7 | 2007 | 142 | |
| 8 | 2013 | 135 | |
| 9 | 2017 | 124 | |
| 10 | 2016 | 123 | |
| 11 | 2013 | 107 | |
| 12 | 2015 | 104 | |
| 13 | 2016 | 99 | |
| 14 | 2003 | 84 | |
| 15 | 2015 | 81 | |
| 16 | 2016 | 79 | |
| 17 | 2003 | 76 | |
| 18 | 2018 | 76 | |
| 19 | 2010 | 72 | |
| 20 | 2013 | 72 |
About Dan Shu
Dan Shu is a scholar working on Molecular Biology, Ecology, Cancer Research, Plant Science and Pharmacology, having authored 117 papers that have together received 4.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (39 papers), Advanced biosensing and bioanalysis techniques (38 papers), RNA and protein synthesis mechanisms (21 papers), Bacteriophages and microbial interactions (20 papers), MicroRNA in disease regulation (10 papers), Plant-Microbe Interactions and Immunity (8 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (676 citations), Molecular Biology (3.3k citations), Biomaterials (342 citations), Ecology (641 citations) and Structural Biology (33 citations). Dan Shu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Peixuan Guo, Farzin Haque, Yi Shu, Gaofeng Xiong, Ren Xu, B. Mark Evers, Hongran Yin, Yi Shu, Fengmei Pi and Hui Li. Their work appears in journals such as International Journal of Molecular Sciences, Molecular Therapy, ACS Nano, Molecular Therapy — Nucleic Acids and Scientific Reports.
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.