Haining Guan
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Food Science top 2%
- Proteins in Food Systems
- Microencapsulation and Drying Processes
- Food Chemistry and Fat Analysis
Papers in
- Food Science 16
- Proteins in Food Systems 11
- Food Chemistry and Fat Analysis 6
-
- Meat and Animal Product Quality 13
- Animal Nutrition and Physiology 2
- Co-authors
- Xiaoqin Diao (22 shared papers)Baohua Kong (8 shared papers)Jianchun Han (2 shared papers)Xinxin Zhao (2 shared papers)Dengyong Liu (13 shared papers)Qian Chen (1 shared paper)Xi Wu (1 shared paper)Xinping Diao (1 shared paper)
- Journals
- Journal of the Science of Food and Agriculture (3 papers)Meat Science (3 papers)LWT (3 papers)Food Chemistry X (2 papers)Ultrasonics Sonochemistry (2 papers)
- Partner nations
- China
In The Last Decade
Haining Guan
24 papers receiving 553 citations
Peers
Comparison fields: 5 of 72
- Animal Science and Zoology 237
- Food Science 334
- Nutrition and Dietetics 100
- Complementary and alternative medicine 31
- Insect Science 43
Countries citing papers authored by Haining Guan
This map shows the geographic impact of Haining Guan'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 Haining Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haining Guan more than expected).
Fields of papers citing papers by Haining Guan
This network shows the impact of papers produced by Haining Guan. 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 Haining Guan. The network helps show where Haining Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Haining Guan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2017 | 82 | |
| 3 | 2016 | 72 | |
| 4 | 2016 | 62 | |
| 5 | 2021 | 59 | |
| 6 | 2020 | 35 | |
| 7 | 2023 | 29 | |
| 8 | 2017 | 26 | |
| 9 | 2024 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2024 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2022 | 2 |
About Haining Guan
Haining Guan is a scholar working on Food Science, Animal Science and Zoology, Molecular Biology, Physiology and Cell Biology, having authored 25 papers that have together received 561 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (13 papers), Proteins in Food Systems (11 papers), Biochemical effects in animals (7 papers), Food Chemistry and Fat Analysis (6 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Muscle metabolism and nutrition (5 papers), Animal Nutrition and Physiology (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Animal Science and Zoology (237 citations), Food Science (334 citations), Nutrition and Dietetics (100 citations), Complementary and alternative medicine (31 citations) and Insect Science (43 citations). Haining Guan has collaborated with scholars based in China. Frequent co-authors include Xiaoqin Diao, Baohua Kong, Jianchun Han, Xinxin Zhao, Dengyong Liu, Qian Chen, Xi Wu, Xinping Diao, Haitang Wang and Hongwei Zhang. Their work appears in journals such as Journal of the Science of Food and Agriculture, Meat Science, LWT, Food Chemistry X and Ultrasonics Sonochemistry.
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.