Yaqing Si
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Molecular Biology top 10%
- Photosynthetic Processes and Mechanisms
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Plant Gene Expression Analysis
Papers in
-
- Photosynthetic Processes and Mechanisms 3
- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 3
- Molecular Biology Techniques and Applications 2
- Circular RNAs in diseases 2
- Co-authors
- Thomas P. BrutnellPeng LiuPinghua LiLin WangS. Lori TaustaQi SunTimothy NelsonNeeru Gandotra
- Journals
- Medical Oncology (2 papers)PLoS ONE (2 papers)Nature Genetics (1 paper)The Visual Computer (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yaqing Si
18 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Plant Science 588
- Molecular Biology 1.0k
- Renewable Energy, Sustainability and the Environment 160
- Cancer Research 134
- Biochemistry 47
Countries citing papers authored by Yaqing Si
This map shows the geographic impact of Yaqing Si'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 Yaqing Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaqing Si more than expected).
Fields of papers citing papers by Yaqing Si
This network shows the impact of papers produced by Yaqing Si. 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 Yaqing Si. The network helps show where Yaqing Si may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaqing Si, 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 | 2025 | 0 | |
| 2 | 2024 | 10 | |
| 3 | 2020 | 4 | |
| 4 | 2019 | 49 | |
| 5 | 2019 | 10 | |
| 6 | 2016 | 8 | |
| 7 | 2016 | 96 | |
| 8 | 2015 | 24 | |
| 9 | 2014 | 35 | |
| 10 | 2014 | 36 | |
| 11 | 2014 | 61 | |
| 12 | 2014 | 5 | |
| 13 | 2013 | 13 | |
| 14 | 2013 | 94 | |
| 15 | 2012 | 183 | |
| 16 | 2012 | 154 | |
| 17 | 2011 | 120 | |
| 18 | 2011 | 7 | |
| 19 | The developmental dynamics of the maize leaf transcriptome Hit paper breakdown → | 2010 | 591 |
About Yaqing Si
Yaqing Si is a scholar working on Molecular Biology, Cell Biology, Biochemistry, Cancer Research and Statistics and Probability, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (3 papers), Molecular Biology Techniques and Applications (2 papers), Circular RNAs in diseases (2 papers), Advanced Image Fusion Techniques (1 paper), Cancer Research and Treatments (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Plant Science (588 citations), Molecular Biology (1.0k citations), Renewable Energy, Sustainability and the Environment (160 citations), Cancer Research (134 citations) and Biochemistry (47 citations). Yaqing Si has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Thomas P. Brutnell, Peng Liu, Pinghua Li, Lin Wang, Peng Liu, S. Lori Tausta, Qi Sun, Timothy Nelson, Neeru Gandotra and Nicholas J. Provart. Their work appears in journals such as Medical Oncology, PLoS ONE, Nature Genetics, The Visual Computer and Nature Communications.
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.