Li Liang
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
- Nutrition and Dietetics top 2%
- Biochemical Analysis and Sensing Techniques
Papers in
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- Protein Hydrolysis and Bioactive Peptides 6
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- Biochemical Analysis and Sensing Techniques 10
- Co-authors
- Yuyu Zhang (18 shared papers)Baoguo Sun (13 shared papers)Yan Huang (6 shared papers)Jingcheng Zhang (4 shared papers)Wen Duan (4 shared papers)Chenchen Zhou (2 shared papers)Jing Zhao (2 shared papers)Jincheng Zhang (3 shared papers)
In The Last Decade
Li Liang
30 papers receiving 654 citations
Li Liang's Hit Papers
Peers
Comparison fields: 5 of 76
- Sensory Systems 114
- Nutrition and Dietetics 330
- Animal Science and Zoology 175
- Food Science 151
- Biochemistry 24
Countries citing papers authored by Li Liang
This map shows the geographic impact of Li Liang'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 Li Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Liang more than expected).
Fields of papers citing papers by Li Liang
This network shows the impact of papers produced by Li Liang. 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 Li Liang. The network helps show where Li Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Liang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Characterization and molecular docking study of taste peptides from chicken soup by sensory analysis combined with nano-LC-Q-TOF-MS/MS Hit paper breakdown → | 2022 | 163 |
| 2 | Characteristics of umami peptides identified from porcine bone soup and molecular docking to the taste receptor T1R1/T1R3 Hit paper breakdown → | 2022 | 142 |
| 3 | 2023 | 37 | |
| 4 | 2021 | 35 | |
| 5 | 2023 | 35 | |
| 6 | 2024 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2023 | 14 | |
| 16 | 2024 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2004 | 8 | |
| 19 | 2024 | 7 | |
| 20 | Study on the chemical constituents of Myrica esculenta | 2011 | 6 |
About Li Liang
Li Liang is a scholar working on Molecular Biology, Nutrition and Dietetics, Biomedical Engineering, Sensory Systems and Physiology, having authored 31 papers that have together received 661 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (10 papers), Advanced Chemical Sensor Technologies (8 papers), Olfactory and Sensory Function Studies (6 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Biochemical effects in animals (5 papers), Meat and Animal Product Quality (4 papers), Traditional and Medicinal Uses of Annonaceae (2 papers) and Insect Utilization and Effects (2 papers). The work is most often cited by research in Sensory Systems (114 citations), Nutrition and Dietetics (330 citations), Animal Science and Zoology (175 citations), Food Science (151 citations) and Biochemistry (24 citations). Li Liang has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Yuyu Zhang, Baoguo Sun, Yan Huang, Jingcheng Zhang, Wen Duan, Chenchen Zhou, Jing Zhao, Jincheng Zhang, Xuewei Zhou and Zong-hai Huang. Their work appears in journals such as Foods, Food Chemistry, Food Research International, Nutrients and Helvetica Chimica Acta.
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.