Junya Liu
Impact in
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
- Speech and Hearing top 10%
- Dysphagia Assessment and Management
Papers in
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- Protein Hydrolysis and Bioactive Peptides 6
- S100 Proteins and Annexins 3
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- Meat and Animal Product Quality 12
- Co-authors
- Wenzheng Shi (9 shared papers)Naiyong Xiao (4 shared papers)Julie A. Y. Cichero (1 shared paper)Peter J. Halley (1 shared paper)Leigh C. Ward (1 shared paper)P. A. Sopade (1 shared paper)Siyuan Shen (1 shared paper)Qingqing Jiang (1 shared paper)
In The Last Decade
Junya Liu
35 papers receiving 363 citations
Peers
Comparison fields: 5 of 91
- Animal Science and Zoology 143
- Speech and Hearing 48
- Food Science 104
- Nutrition and Dietetics 59
- Aquatic Science 24
Countries citing papers authored by Junya Liu
This map shows the geographic impact of Junya Liu'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 Junya Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Liu more than expected).
Fields of papers citing papers by Junya Liu
This network shows the impact of papers produced by Junya Liu. 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 Junya Liu. The network helps show where Junya Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junya Liu, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 72 | |
| 2 | 2022 | 38 | |
| 3 | 2021 | 31 | |
| 4 | 2019 | 30 | |
| 5 | 2018 | 26 | |
| 6 | 2024 | 23 | |
| 7 | 2023 | 21 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2025 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 4 |
About Junya Liu
Junya Liu is a scholar working on Molecular Biology, Animal Science and Zoology, Physiology, Pulmonary and Respiratory Medicine and Food Science, having authored 40 papers that have together received 368 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (12 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Biochemical effects in animals (5 papers), S100 Proteins and Annexins (3 papers), Tuberous Sclerosis Complex Research (3 papers), Respiratory Support and Mechanisms (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Polysaccharides Composition and Applications (2 papers). The work is most often cited by research in Animal Science and Zoology (143 citations), Speech and Hearing (48 citations), Food Science (104 citations), Nutrition and Dietetics (59 citations) and Aquatic Science (24 citations). Junya Liu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Wenzheng Shi, Naiyong Xiao, Julie A. Y. Cichero, Peter J. Halley, Leigh C. Ward, P. A. Sopade, Siyuan Shen, Qingqing Jiang, Xin Jiang and Yanhong Bai. Their work appears in journals such as Orphanet Journal of Rare Diseases, Journal of Food Processing and Preservation, CyTA - Journal of Food, International Journal of Food Science & Technology and Food Chemistry X.
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.