Ling Qing
Impact in
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- interferon and immune responses
- Plant Science top 10%
- Plant-Microbe Interactions and Immunity
- Plant Virus Research Studies
- Plant pathogens and resistance mechanisms
Papers in
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- Plant Virus Research Studies 17
- Plant-Microbe Interactions and Immunity 8
- Plant pathogens and resistance mechanisms 5
- Plant Disease Resistance and Genetics 3
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- Insect-Plant Interactions and Control 4
- Co-authors
- Tianyi He (1 shared paper)Ying H. Shen (1 shared paper)Chen Cui (1 shared paper)Xinguo Hou (1 shared paper)F.Q. Liu (1 shared paper)L. Chen (1 shared paper)Fei Yan (1 shared paper)Chaowei Bi (5 shared papers)
- Journals
- Molecular Plant Pathology (5 papers)Frontiers in Microbiology (2 papers)Viruses (2 papers)The Plant Pathology Journal (1 paper)Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ling Qing
25 papers receiving 488 citations
Peers
Comparison fields: 5 of 54
- Immunology 144
- Plant Science 262
- Endocrinology 34
- Horticulture 5
- Insect Science 50
Countries citing papers authored by Ling Qing
This map shows the geographic impact of Ling Qing'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 Ling Qing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Qing more than expected).
Fields of papers citing papers by Ling Qing
This network shows the impact of papers produced by Ling Qing. 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 Ling Qing. The network helps show where Ling Qing may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Qing, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 197 | |
| 2 | 2016 | 48 | |
| 3 | 2015 | 31 | |
| 4 | 2019 | 30 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 25 | |
| 7 | 2019 | 21 | |
| 8 | 2013 | 20 | |
| 9 | 2019 | 17 | |
| 10 | 2018 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2025 | 3 | |
| 19 | Subcellular localization and expression analyses of IP-L protein interacting with ToMV coat protein. | 2017 | 2 |
| 20 | 2023 | 2 |
About Ling Qing
Ling Qing is a scholar working on Plant Science, Insect Science, Endocrinology, Molecular Biology and Immunology, having authored 28 papers that have together received 492 indexed citations. Recurring topics across this work include Plant Virus Research Studies (17 papers), Plant-Microbe Interactions and Immunity (8 papers), Plant and Fungal Interactions Research (5 papers), Plant pathogens and resistance mechanisms (5 papers), Insect-Plant Interactions and Control (4 papers), Plant Disease Resistance and Genetics (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (144 citations), Plant Science (262 citations), Endocrinology (34 citations), Horticulture (5 citations) and Insect Science (50 citations). Ling Qing has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tianyi He, Ying H. Shen, Chen Cui, Xinguo Hou, F.Q. Liu, L. Chen, Fei Yan, Chaowei Bi, Yang Yu and Yuheng Yang. Their work appears in journals such as Molecular Plant Pathology, Frontiers in Microbiology, Viruses, The Plant Pathology Journal and Metabolism.
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.