Silong Zhai
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics 10
- Agronomy and Crop Science top 10%
- Plant Science top 10%
- Rice Cultivation and Yield Improvement 6
- Mycorrhizal Fungi and Plant Interactions 6
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- Computational Drug Discovery Methods 8
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- Protein Structure and Dynamics 5
- Chemical Synthesis and Analysis 4
- vaccines and immunoinformatics approaches 3
- Machine Learning in Bioinformatics 3
- Co-authors
- Haishui YangYifan LiMingmin XuMartin WeihXinmin BianQian ZhangJian LiuYali Meng
- Journals
- New Phytologist (1 paper)Journal of Medicinal Chemistry (2 papers)Journal of Environmental Management (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Silong Zhai
23 papers receiving 498 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Soil Science 274
- Agronomy and Crop Science 71
- Plant Science 236
- Environmental Chemistry 37
- Ecology, Evolution, Behavior and Systematics 51
Countries citing papers authored by Silong Zhai
This map shows the geographic impact of Silong Zhai'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 Silong Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silong Zhai more than expected).
Fields of papers citing papers by Silong Zhai
This network shows the impact of papers produced by Silong Zhai. 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 Silong Zhai. The network helps show where Silong Zhai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Silong Zhai, 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | Artificial intelligence in peptide-based drug designbreakdown → | 2025 | 19 |
| 4 | 2025 | 9 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 17 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 24 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 40 | |
| 16 | 2020 | 20 | |
| 17 | 2019 | 32 | |
| 18 | 2018 | 32 | |
| 19 | 2017 | 51 | |
| 20 | 2016 | 84 |
About Silong Zhai
Silong Zhai is a scholar working on Soil Science, Computational Theory and Mathematics and Plant Science, having authored 25 papers that have together received 507 indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (10 papers), Computational Drug Discovery Methods (8 papers), Rice Cultivation and Yield Improvement (6 papers), Mycorrhizal Fungi and Plant Interactions (6 papers), Protein Structure and Dynamics (5 papers), Chemical Synthesis and Analysis (4 papers), vaccines and immunoinformatics approaches (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Soil Science (274 citations), Agronomy and Crop Science (71 citations) and Plant Science (236 citations). Silong Zhai has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Haishui Yang, Yifan Li, Mingmin Xu, Martin Weih, Xinmin Bian, Qian Zhang, Jian Liu, Yali Meng, Jian Liu and Roger T. Koide. Their work appears in journals such as New Phytologist, Journal of Medicinal Chemistry and Journal of Environmental Management.
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.