Rui Shi
Impact in
- Plant Science top 1%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Plant Gene Expression Analysis 21
-
- Plant Molecular Biology Research 15
- Plant Disease Resistance and Genetics 10
- Light effects on plants 7
- Co-authors
- Vincent L. Chiang (26 shared papers)Ying‐Hsuan Sun (13 shared papers)Ronald R. Sederoff (19 shared papers)Quanzi Li (14 shared papers)Shanfa Lu (3 shared papers)Catherine Clark (1 shared paper)Laigeng Li (1 shared paper)Jack Wang (14 shared papers)
- Journals
- Planta (6 papers)The Plant Cell (5 papers)Agronomy (4 papers)Frontiers in Plant Science (4 papers)Aquaculture (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Rui Shi
79 papers receiving 3.4k citations
Rui Shi's Hit Papers
Peers
Comparison fields: 5 of 123
- Plant Science 1.7k
- Cancer Research 634
- Molecular Biology 2.4k
- Biotechnology 147
- Biomedical Engineering 529
Countries citing papers authored by Rui Shi
This map shows the geographic impact of Rui Shi'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 Rui Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Shi more than expected).
Fields of papers citing papers by Rui Shi
This network shows the impact of papers produced by Rui Shi. 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 Rui Shi. The network helps show where Rui Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui Shi, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Facile Means for Quantifying Microrna Expression by Real-Time PCR Hit paper breakdown → | 2005 | 612 |
| 2 | 2005 | 492 | |
| 3 | 2009 | 249 | |
| 4 | 2015 | 229 | |
| 5 | 2018 | 182 | |
| 6 | 2014 | 127 | |
| 7 | 2019 | 116 | |
| 8 | 2014 | 81 | |
| 9 | 2013 | 65 | |
| 10 | 2017 | 64 | |
| 11 | 2014 | 63 | |
| 12 | 2014 | 62 | |
| 13 | 2017 | 59 | |
| 14 | 2021 | 58 | |
| 15 | 2015 | 57 | |
| 16 | 2019 | 50 | |
| 17 | 2013 | 48 | |
| 18 | 2020 | 47 | |
| 19 | 2018 | 39 | |
| 20 | 2011 | 39 |
About Rui Shi
Rui Shi is a scholar working on Molecular Biology, Plant Science, Genetics, Biomedical Engineering and Cancer Research, having authored 82 papers that have together received 3.4k indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (21 papers), Plant Molecular Biology Research (15 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers), Plant Disease Resistance and Genetics (10 papers), Lignin and Wood Chemistry (8 papers), MicroRNA in disease regulation (8 papers), Light effects on plants (7 papers) and Biofuel production and bioconversion (7 papers). The work is most often cited by research in Plant Science (1.7k citations), Cancer Research (634 citations), Molecular Biology (2.4k citations), Biotechnology (147 citations) and Biomedical Engineering (529 citations). Rui Shi has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Vincent L. Chiang, Ying‐Hsuan Sun, Ronald R. Sederoff, Quanzi Li, Shanfa Lu, Catherine Clark, Laigeng Li, Jack Wang, Ying‐Chung Jimmy Lin and Steffen Heber. Their work appears in journals such as Planta, The Plant Cell, Agronomy, Frontiers in Plant Science and Aquaculture.
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.