Jun Wei Mao
Impact in
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- Computational Drug Discovery Methods
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- Plant Stress Responses and Tolerance
- Plant responses to water stress
- Seed Germination and Physiology
- Plant Molecular Biology Research
Papers in
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- Computational Drug Discovery Methods 5
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- Microtubule and mitosis dynamics 3
- Co-authors
- Qinghua Yang (4 shared papers)Huifang Zheng (3 shared papers)Ruixin Shao (3 shared papers)Lan Ding (4 shared papers)Min Wei (1 shared paper)John Zhang (2 shared papers)Xudong Zhang (1 shared paper)Yifei Qi (2 shared papers)
- Journals
- Photosynthetica (2 papers)Molecular Diversity (1 paper)Life Sciences (1 paper)International Journal of Molecular Sciences (1 paper)Asian Journal of Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun Wei Mao
19 papers receiving 342 citations
Peers
Comparison fields: 5 of 93
- Computational Theory and Mathematics 90
- Plant Science 127
- Physiology 8
- Small Animals 12
- Endocrine and Autonomic Systems 10
Countries citing papers authored by Jun Wei Mao
This map shows the geographic impact of Jun Wei Mao'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 Jun Wei Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wei Mao more than expected).
Fields of papers citing papers by Jun Wei Mao
This network shows the impact of papers produced by Jun Wei Mao. 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 Jun Wei Mao. The network helps show where Jun Wei Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wei Mao, 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 | 2015 | 75 | |
| 2 | 2022 | 59 | |
| 3 | 2018 | 30 | |
| 4 | 2020 | 28 | |
| 5 | 2018 | 28 | |
| 6 | 2019 | 28 | |
| 7 | 2020 | 18 | |
| 8 | 2023 | 15 | |
| 9 | 2015 | 15 | |
| 10 | 2020 | 12 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2004 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2004 | 3 | |
| 16 | 2017 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Jun Wei Mao
Jun Wei Mao is a scholar working on Computational Theory and Mathematics, Cell Biology, Plant Science, Health, Toxicology and Mutagenesis and Pharmacology, having authored 20 papers that have together received 345 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Plant Stress Responses and Tolerance (4 papers), Plant responses to elevated CO2 (4 papers), Microtubule and mitosis dynamics (3 papers), 3D IC and TSV technologies (2 papers), Cancer Treatment and Pharmacology (2 papers), Electromagnetic Compatibility and Noise Suppression (2 papers) and Electronic Packaging and Soldering Technologies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (90 citations), Plant Science (127 citations), Physiology (8 citations), Small Animals (12 citations) and Endocrine and Autonomic Systems (10 citations). Jun Wei Mao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Qinghua Yang, Huifang Zheng, Ruixin Shao, Lan Ding, Min Wei, John Zhang, Xudong Zhang, Yifei Qi, Hui Zhang and Chun‐Tao Liu. Their work appears in journals such as Photosynthetica, Molecular Diversity, Life Sciences, International Journal of Molecular Sciences and Asian Journal of Psychiatry.
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.