Junyu Wu
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant Micronutrient Interactions and Effects
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Plant Molecular Biology Research 6
- Plant Stress Responses and Tolerance 4
- Plant nutrient uptake and metabolism 3
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- RNA Research and Splicing 3
- Plant Reproductive Biology 3
- Co-authors
- Yinbo Gan (11 shared papers)Shuaiqi Yang (7 shared papers)Ali Raza Khan (4 shared papers)Abdus Salam (4 shared papers)Wardah Azhar (4 shared papers)Zaid Ulhassan (2 shared papers)Yibin Feng (5 shared papers)Yuanjun Lu (5 shared papers)
- Journals
- Cell Research (2 papers)Neuroscience (2 papers)Human Vaccines & Immunotherapeutics (2 papers)Rice (1 paper)Cancer Letters (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junyu Wu
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Plant Science 293
- Cancer Research 102
- Pollution 82
- Geochemistry and Petrology 32
- Molecular Biology 347
Countries citing papers authored by Junyu Wu
This map shows the geographic impact of Junyu Wu'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 Junyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Wu more than expected).
Fields of papers citing papers by Junyu Wu
This network shows the impact of papers produced by Junyu Wu. 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 Junyu Wu. The network helps show where Junyu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu Wu, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 194 | |
| 2 | 2020 | 80 | |
| 3 | 2018 | 60 | |
| 4 | 2022 | 59 | |
| 5 | 2019 | 48 | |
| 6 | 2023 | 46 | |
| 7 | 2022 | 43 | |
| 8 | 2017 | 39 | |
| 9 | 2021 | 37 | |
| 10 | 2014 | 36 | |
| 11 | 2021 | 34 | |
| 12 | 2023 | 31 | |
| 13 | 2022 | 27 | |
| 14 | 2022 | 23 | |
| 15 | 2019 | 21 | |
| 16 | 2015 | 18 | |
| 17 | 2020 | 16 | |
| 18 | 2015 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2012 | 13 |
About Junyu Wu
Junyu Wu is a scholar working on Plant Science, Molecular Biology, Cell Biology, Infectious Diseases and Oncology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (4 papers), Plant nutrient uptake and metabolism (3 papers), Microtubule and mitosis dynamics (3 papers), Cancer Cells and Metastasis (3 papers), RNA Research and Splicing (3 papers), Plant Reproductive Biology (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Plant Science (293 citations), Cancer Research (102 citations), Pollution (82 citations), Geochemistry and Petrology (32 citations) and Molecular Biology (347 citations). Junyu Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yinbo Gan, Shuaiqi Yang, Ali Raza Khan, Abdus Salam, Wardah Azhar, Zaid Ulhassan, Yibin Feng, Yuanjun Lu, Ning Wang and Li Liu. Their work appears in journals such as Cell Research, Neuroscience, Human Vaccines & Immunotherapeutics, Rice and Cancer Letters.
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.