Lingya Yao
Impact in
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Legume Nitrogen Fixing Symbiosis
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant Parasitism and Resistance
- Mycorrhizal Fungi and Plant Interactions
- Neurology top 10%
Papers in
-
- Plant Molecular Biology Research 3
- Plant Stress Responses and Tolerance 3
- Plant-Microbe Interactions and Immunity 3
- Plant nutrient uptake and metabolism 1
- Plant Parasitism and Resistance 1
-
- Photosynthetic Processes and Mechanisms 3
- Plant Gene Expression Analysis 1
- S100 Proteins and Annexins 1
- Co-authors
- Xiu‐Fang Xin (4 shared papers)Bradley C. Paasch (1 shared paper)Sheng Yang He (2 shared papers)James M. Kremer (1 shared paper)Ertao Wang (1 shared paper)Xiaolin Wang (1 shared paper)Li Zhang (1 shared paper)Jin Xu (1 shared paper)
- Journals
- The Plant Journal (3 papers)The Plant Cell (1 paper)Neuroscience (1 paper)Nature (1 paper)Gastroenterology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lingya Yao
9 papers receiving 799 citations
Lingya Yao's Hit Papers
Peers
Comparison fields: 5 of 93
- Plant Science 571
- Neurology 57
- Cell Biology 105
- Horticulture 6
- Biological Psychiatry 9
Countries citing papers authored by Lingya Yao
This map shows the geographic impact of Lingya Yao'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 Lingya Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingya Yao more than expected).
Fields of papers citing papers by Lingya Yao
This network shows the impact of papers produced by Lingya Yao. 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 Lingya Yao. The network helps show where Lingya Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingya Yao, 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 | A plant genetic network for preventing dysbiosis in the phyllosphere Hit paper breakdown → | 2020 | 397 |
| 2 | 2011 | 132 | |
| 3 | 2018 | 93 | |
| 4 | 2016 | 78 | |
| 5 | 2016 | 47 | |
| 6 | 2023 | 26 | |
| 7 | Differential involvement of ceramide in TNFalpha-mediated activation of NF-kappaB in primary human keratinocytes and HaCaT keratinocytes. | 2003 | 15 |
| 8 | 2023 | 12 | |
| 9 | 2020 | 1 | |
| 10 | 2025 | 0 |
About Lingya Yao
Lingya Yao is a scholar working on Plant Science, Molecular Biology, Epidemiology, Neurology and Immunology, having authored 10 papers that have together received 801 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Plant Stress Responses and Tolerance (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Plant Gene Expression Analysis (1 paper), Plant nutrient uptake and metabolism (1 paper), S100 Proteins and Annexins (1 paper) and Plant Parasitism and Resistance (1 paper). The work is most often cited by research in Plant Science (571 citations), Neurology (57 citations), Cell Biology (105 citations), Horticulture (6 citations) and Biological Psychiatry (9 citations). Lingya Yao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiu‐Fang Xin, Bradley C. Paasch, Sheng Yang He, James M. Kremer, Ertao Wang, Xiaolin Wang, Li Zhang, Jin Xu, Li Ma and Kinya Nomura. Their work appears in journals such as The Plant Journal, The Plant Cell, Neuroscience, Nature and Gastroenterology.
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.