Jun Lai
Impact in
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- Plant Gene Expression Analysis
- RNA Interference and Gene Delivery
- Plant biochemistry and biosynthesis
- Cell death mechanisms and regulation
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- CAR-T cell therapy research
- HER2/EGFR in Cancer Research
Papers in
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- RNA Interference and Gene Delivery 4
- Cell death mechanisms and regulation 3
- Plant Gene Expression Analysis 2
- Insect Resistance and Genetics 2
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- Cassava research and cyanide 3
- Plant nutrient uptake and metabolism 2
- Plant Stress Responses and Tolerance 2
- Co-authors
- Shouchuang Wang (11 shared papers)Liqiang Pan (5 shared papers)Jun Yang (9 shared papers)Chao Wang (6 shared papers)Hao Guo (5 shared papers)Jie Zhou (3 shared papers)Zhan Zhou (3 shared papers)Chen Zhang (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)Biomaterials (2 papers)Gene Therapy (1 paper)Frontiers in Plant Science (1 paper)Advanced Science (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Lai
24 papers receiving 357 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 188
- Oncology 67
- Plant Science 99
- Food Science 38
- Radiology, Nuclear Medicine and Imaging 43
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 | 2024 | 41 | |
| 2 | 2016 | 36 | |
| 3 | 2014 | 30 | |
| 4 | 2013 | 29 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 21 | |
| 8 | 2018 | 21 | |
| 9 | 2016 | 19 | |
| 10 | 2023 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2024 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2015 | 9 | |
| 18 | 2025 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2023 | 4 |
About Jun Lai
Jun Lai is a scholar working on Molecular Biology, Plant Science, Food Science, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 365 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Cell death mechanisms and regulation (3 papers), Cassava research and cyanide (3 papers), Potato Plant Research (3 papers), Plant Gene Expression Analysis (2 papers), Plant nutrient uptake and metabolism (2 papers), Insect Resistance and Genetics (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Molecular Biology (188 citations), Oncology (67 citations), Plant Science (99 citations), Food Science (38 citations) and Radiology, Nuclear Medicine and Imaging (43 citations). Jun Lai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shouchuang Wang, Liqiang Pan, Jun Yang, Chao Wang, Hao Guo, Jie Zhou, Zhan Zhou, Chen Zhang, Haibin Wang and Yingchun Xu. Their work appears in journals such as International Journal of Molecular Sciences, Biomaterials, Gene Therapy, Frontiers in Plant Science and Advanced 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.