Shaobo Yu
Impact in
- Agronomy and Crop Science top 10%
- Crop Yield and Soil Fertility
Papers in
-
- Epigenetics and DNA Methylation 2
-
- Rice Cultivation and Yield Improvement 3
- Co-authors
- Shahbaz Khan (4 shared papers)Zhenping Yang (4 shared papers)Sumera Anwar (2 shared papers)Zhiqiang Gao (2 shared papers)Min Sun (1 shared paper)Hui Wang (2 shared papers)Yanshan Lu (2 shared papers)Huaijun Lin (2 shared papers)
- Journals
- PeerJ (2 papers)Molecular Therapy (1 paper)Agricultural Water Management (1 paper)RSC Advances (1 paper)Nature Computational Science (1 paper)
- Partner nations
- ChinaSpainUnited States
In The Last Decade
Shaobo Yu
18 papers receiving 288 citations
Peers
Comparison fields: 5 of 78
- Agronomy and Crop Science 43
- Soil Science 34
- Plant Science 110
- Catalysis 18
- Energy Engineering and Power Technology 6
Countries citing papers authored by Shaobo Yu
This map shows the geographic impact of Shaobo Yu'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 Shaobo Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaobo Yu more than expected).
Fields of papers citing papers by Shaobo Yu
This network shows the impact of papers produced by Shaobo Yu. 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 Shaobo Yu. The network helps show where Shaobo Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaobo Yu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2023 | 49 | |
| 3 | 2022 | 38 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 14 | |
| 7 | 2025 | 14 | |
| 8 | 2025 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Shaobo Yu
Shaobo Yu is a scholar working on Molecular Biology, Plant Science, Materials Chemistry, Biomedical Engineering and Soil Science, having authored 22 papers that have together received 294 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (3 papers), Irrigation Practices and Water Management (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Conducting polymers and applications (2 papers), Machine Learning in Materials Science (2 papers), Cancer Cells and Metastasis (2 papers), Epigenetics and DNA Methylation (2 papers) and Crop Yield and Soil Fertility (2 papers). The work is most often cited by research in Agronomy and Crop Science (43 citations), Soil Science (34 citations), Plant Science (110 citations), Catalysis (18 citations) and Energy Engineering and Power Technology (6 citations). Shaobo Yu has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Shahbaz Khan, Zhenping Yang, Sumera Anwar, Zhiqiang Gao, Min Sun, Hui Wang, Yanshan Lu, Huaijun Lin, Bing Han and Aixia Ren. Their work appears in journals such as PeerJ, Molecular Therapy, Agricultural Water Management, RSC Advances and Nature Computational Science.
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.