Liang Chen
- Biochemistry top 0.5%
- Plant Science top 0.5%
- Plant Molecular Biology Research 19
- Plant Stress Responses and Tolerance 17
- GABA and Rice Research 15
- Rice Cultivation and Yield Improvement 15
- Pathology and Forensic Medicine top 0.5%
- Tea Polyphenols and Effects 61
- Geriatrics and Gerontology top 1%
- Endocrinology top 2%
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- Genetic Mapping and Diversity in Plants and Animals 32
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- Food Quality and Safety Studies 28
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- Plant Gene Expression Analysis 27
- Co-authors
- Ming-Zhe YaoJian‐Qiang MaChun-Lei MaJi-Qiang JinDingfu XiaoJianhua HeTiantian MengXinchao Wang
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Liang Chen
307 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Biochemistry 639
- Plant Science 3.5k
- Pathology and Forensic Medicine 1.5k
- Geriatrics and Gerontology 238
- Endocrinology 274
Countries citing papers authored by Liang Chen
This map shows the geographic impact of Liang Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Chen more than expected).
Fields of papers citing papers by Liang Chen
This network shows the impact of papers produced by Liang Chen. 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 Chen. The network helps show where Liang Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Chen, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 27 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 6 | |
| 18 | 2021 | 11 | |
| 19 | 2018 | 120 | |
| 20 | 2017 | 11 |
About Liang Chen
Liang Chen is a scholar working on Pathology and Forensic Medicine, Plant Science and Endocrinology, having authored 323 papers that have together received 8.5k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (61 papers), Genetic Mapping and Diversity in Plants and Animals (32 papers), Food Quality and Safety Studies (28 papers), Plant Gene Expression Analysis (27 papers), Plant Molecular Biology Research (19 papers), Plant Stress Responses and Tolerance (17 papers), GABA and Rice Research (15 papers) and Rice Cultivation and Yield Improvement (15 papers). The work is most often cited by research in Biochemistry (639 citations), Plant Science (3.5k citations) and Pathology and Forensic Medicine (1.5k citations). Liang Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming-Zhe Yao, Jian‐Qiang Ma, Chun-Lei Ma, Ji-Qiang Jin, Dingfu Xiao, Jianhua He, Tiantian Meng, Xinchao Wang, Ruqing Zhong and Chunfang Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.