Shiping Yang
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
-
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
Papers in
-
- Bioinformatics and Genomic Networks 13
- Machine Learning in Bioinformatics 9
- Genomics and Phylogenetic Studies 5
- Protein Structure and Dynamics 4
-
- Plant Stress Responses and Tolerance 4
- Plant nutrient uptake and metabolism 3
- Plant Molecular Biology Research 3
- Co-authors
- Ziding Zhang (19 shared papers)Xiaodi Yang (9 shared papers)Xianyi Lian (7 shared papers)Stefan Wuchty (5 shared papers)Feng Qin (6 shared papers)Fu Chen (4 shared papers)Shengxue Liu (6 shared papers)Md. Nurul Haque Mollah (1 shared paper)
- Journals
- Briefings in Bioinformatics (3 papers)mSystems (2 papers)Journal of Proteome Research (2 papers)Insect Molecular Biology (1 paper)Molecular BioSystems (1 paper)
- Partner nations
- ChinaUnited StatesEstonia
In The Last Decade
Shiping Yang
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Plant Science 349
- Molecular Biology 591
- Computational Theory and Mathematics 75
- Genetics 122
- Industrial and Manufacturing Engineering 37
Countries citing papers authored by Shiping Yang
This map shows the geographic impact of Shiping Yang'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 Shiping Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiping Yang more than expected).
Fields of papers citing papers by Shiping Yang
This network shows the impact of papers produced by Shiping Yang. 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 Shiping Yang. The network helps show where Shiping Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiping Yang, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2019 | 104 | |
| 3 | 2015 | 84 | |
| 4 | 2017 | 79 | |
| 5 | 2023 | 74 | |
| 6 | 2022 | 72 | |
| 7 | 2023 | 71 | |
| 8 | 2021 | 58 | |
| 9 | 2021 | 57 | |
| 10 | 2020 | 56 | |
| 11 | 2019 | 45 | |
| 12 | 2017 | 43 | |
| 13 | 2019 | 38 | |
| 14 | 2017 | 28 | |
| 15 | 2019 | 27 | |
| 16 | 2023 | 27 | |
| 17 | 2021 | 24 | |
| 18 | 2020 | 23 | |
| 19 | 2016 | 22 | |
| 20 | 2018 | 17 |
About Shiping Yang
Shiping Yang is a scholar working on Molecular Biology, Plant Science, Computational Theory and Mathematics, Immunology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Machine Learning in Bioinformatics (9 papers), Genomics and Phylogenetic Studies (5 papers), Protein Structure and Dynamics (4 papers), Plant Stress Responses and Tolerance (4 papers), Plant nutrient uptake and metabolism (3 papers), Computational Drug Discovery Methods (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Plant Science (349 citations), Molecular Biology (591 citations), Computational Theory and Mathematics (75 citations), Genetics (122 citations) and Industrial and Manufacturing Engineering (37 citations). Shiping Yang has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Ziding Zhang, Xiaodi Yang, Xianyi Lian, Stefan Wuchty, Feng Qin, Fu Chen, Shengxue Liu, Md. Nurul Haque Mollah, Hong Li and Md Mehedi Hasan. Their work appears in journals such as Briefings in Bioinformatics, mSystems, Journal of Proteome Research, Insect Molecular Biology and Molecular BioSystems.
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.