Boye Liu
Impact in
- Food Science top 10%
- Proteins in Food Systems
- Food Chemistry and Fat Analysis
-
- Biochemical Analysis and Sensing Techniques
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 4
- Identification and Quantification in Food 3
- Co-authors
- Fusheng Chen (11 shared papers)Ying Xin (3 shared papers)Fang Fang (2 shared papers)Yan Du (2 shared papers)Lei Xu (1 shared paper)Guanhao Bu (1 shared paper)Chen Liu (1 shared paper)Kunlun Liu (2 shared papers)
- Journals
- LWT (2 papers)Avian Research (2 papers)iScience (1 paper)Bioscience Reports (1 paper)Veterinary Sciences (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Boye Liu
22 papers receiving 334 citations
Peers
Comparison fields: 5 of 74
- Food Science 79
- Nutrition and Dietetics 63
- Parasitology 25
- Animal Science and Zoology 36
- Biomaterials 37
Countries citing papers authored by Boye Liu
This map shows the geographic impact of Boye 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 Boye Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boye Liu more than expected).
Fields of papers citing papers by Boye Liu
This network shows the impact of papers produced by Boye 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 Boye Liu. The network helps show where Boye Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Boye 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 87 | |
| 2 | 2019 | 78 | |
| 3 | 2019 | 30 | |
| 4 | 2021 | 27 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2016 | 15 | |
| 9 | Effect of γ-irradiation on the physicochemical properties of mixed soy protein isolate/starch material | 2012 | 9 |
| 10 | 2020 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2022 | 1 |
About Boye Liu
Boye Liu is a scholar working on Molecular Biology, Plant Science, Parasitology, Animal Science and Zoology and Nutrition and Dietetics, having authored 23 papers that have together received 344 indexed citations. Recurring topics across this work include Bird parasitology and diseases (5 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Identification and Quantification in Food (3 papers), Natural Fiber Reinforced Composites (3 papers), Lignin and Wood Chemistry (3 papers), Meat and Animal Product Quality (3 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Food Science (79 citations), Nutrition and Dietetics (63 citations), Parasitology (25 citations), Animal Science and Zoology (36 citations) and Biomaterials (37 citations). Boye Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fusheng Chen, Ying Xin, Fang Fang, Yan Du, Lei Xu, Guanhao Bu, Chen Liu, Chen Liu, Kunlun Liu and Zhenyuan Li. Their work appears in journals such as LWT, Avian Research, iScience, Bioscience Reports and Veterinary Sciences.
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.