Jun Lai
Impact in
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- Plant Gene Expression Analysis
- Plant biochemistry and biosynthesis
- RNA Interference and Gene Delivery
- Cell death mechanisms and regulation
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- Plant Molecular Biology Research
Papers in
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- RNA Interference and Gene Delivery 4
- Cell death mechanisms and regulation 3
- Plant Gene Expression Analysis 2
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- Cassava research and cyanide 3
- Plant Molecular Biology Research 2
- Plant nutrient uptake and metabolism 2
- Co-authors
- Shuqing Chen (7 shared papers)Shouchuang Wang (11 shared papers)Liqiang Pan (5 shared papers)Jun Yang (9 shared papers)Jie Zhou (3 shared papers)Hao Guo (5 shared papers)Haibin Wang (1 shared paper)Chen Zhang (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)Biomaterials (2 papers)Journal of Agricultural and Food Chemistry (1 paper)Scientific Reports (1 paper)Biotechnology and Applied Biochemistry (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Lai
22 papers receiving 312 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 178
- Plant Science 91
- Oncology 65
- Food Science 39
- Biochemistry 11
Countries citing papers authored by Jun Lai
This map shows the geographic impact of Jun Lai'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 Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lai more than expected).
Fields of papers citing papers by Jun Lai
This network shows the impact of papers produced by Jun Lai. 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 Lai. The network helps show where Jun Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lai, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 34 | |
| 2 | 2024 | 33 | |
| 3 | 2014 | 28 | |
| 4 | 2013 | 27 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 20 | |
| 7 | 2018 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2016 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2025 | 4 |
About Jun Lai
Jun Lai is a scholar working on Molecular Biology, Plant Science, Food Science, Cancer Research and Surgery, having authored 24 papers that have together received 319 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Cassava research and cyanide (3 papers), Potato Plant Research (3 papers), Cell death mechanisms and regulation (3 papers), Plant Molecular Biology Research (2 papers), Plant nutrient uptake and metabolism (2 papers), Plant Gene Expression Analysis (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Molecular Biology (178 citations), Plant Science (91 citations), Oncology (65 citations), Food Science (39 citations) and Biochemistry (11 citations). Jun Lai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shuqing Chen, Shouchuang Wang, Liqiang Pan, Jun Yang, Jie Zhou, Hao Guo, Haibin Wang, Chen Zhang, Yingchun Xu and Zhan Zhou. Their work appears in journals such as International Journal of Molecular Sciences, Biomaterials, Journal of Agricultural and Food Chemistry, Scientific Reports and Biotechnology and Applied Biochemistry.
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.