Liang Yang
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Light effects on plants
- Plant nutrient uptake and metabolism
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- Nerve injury and regeneration
Papers in ⓘ
-
- Plant Stress Responses and Tolerance 9
- Plant Molecular Biology Research 7
- Light effects on plants 6
- Plant nutrient uptake and metabolism 4
- Co-authors
- Wei Ji (6 shared papers)Yong Li (6 shared papers)Xi Bai (6 shared papers)Hua Cai (5 shared papers)Yanming Zhu (5 shared papers)Peng Gao (4 shared papers)Dekang Lv (2 shared papers)Lan Bao (2 shared papers)
- Journals
- Cell Communication and Signaling (2 papers)BioMed Research International (2 papers)Cell Death Discovery (1 paper)Planta (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liang Yang
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Plant Science 931
- Cellular and Molecular Neuroscience 309
- Physiology 371
- Molecular Biology 846
- Developmental Neuroscience 40
Countries citing papers authored by Liang Yang
This map shows the geographic impact of Liang Yang'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 Liang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Yang more than expected).
Fields of papers citing papers by Liang Yang
This network shows the impact of papers produced by Liang Yang. 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 Liang Yang. The network helps show where Liang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Liang Yang, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 417 | |
| 2 | 2010 | 186 | |
| 3 | 2010 | 180 | |
| 4 | 2016 | 160 | |
| 5 | 2010 | 128 | |
| 6 | 2004 | 109 | |
| 7 | 2010 | 84 | |
| 8 | 2013 | 67 | |
| 9 | 2019 | 36 | |
| 10 | 2012 | 33 | |
| 11 | 2022 | 33 | |
| 12 | 2020 | 33 | |
| 13 | 2024 | 33 | |
| 14 | 2018 | 30 | |
| 15 | 2006 | 26 | |
| 16 | 2020 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2021 | 17 | |
| 20 | 2023 | 12 |
About Liang Yang
Liang Yang is a scholar working on Developmental Neuroscience, Plant Science, Process Chemistry and Technology, Molecular Biology and Aquatic Science, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (9 papers), Plant Molecular Biology Research (7 papers), Photosynthetic Processes and Mechanisms (7 papers), Light effects on plants (6 papers), Plant nutrient uptake and metabolism (4 papers), RNA modifications and cancer (3 papers), Nerve injury and regeneration (2 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Plant Science (931 citations), Cellular and Molecular Neuroscience (309 citations), Physiology (371 citations), Molecular Biology (846 citations) and Developmental Neuroscience (40 citations). Liang Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Ji, Yong Li, Xi Bai, Hua Cai, Yanming Zhu, Peng Gao, Dekang Lv, Lan Bao, Xu Zhang and Fang‐Xiong Zhang. Their work appears in journals such as Cell Communication and Signaling, BioMed Research International, Cell Death Discovery, Planta and Scientific Reports.
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.