Yiting Guo
Impact in
- Food Science top 2%
- Food Drying and Modeling
- Proteins in Food Systems
- Microencapsulation and Drying Processes
- Biotechnology top 2%
- Microbial Inactivation Methods
Papers in
- Food Science 21
- Food Drying and Modeling 6
- Probiotics and Fermented Foods 5
- Proteins in Food Systems 4
-
- Protein Hydrolysis and Bioactive Peptides 13
- Co-authors
- Haile Ma (38 shared papers)Bengang Wu (13 shared papers)Ping Wu (8 shared papers)Dandan Liu (7 shared papers)Zhongli Pan (6 shared papers)Moses Kwaku Golly (3 shared papers)Yuqing Duan (3 shared papers)Yang Wang (1 shared paper)
- Journals
- Food Chemistry (8 papers)Food Bioscience (3 papers)Innovative Food Science & Emerging Technologies (3 papers)Critical Reviews in Food Science and Nutrition (2 papers)Frontiers in Nutrition (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yiting Guo
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Food Science 541
- Biotechnology 235
- Biochemistry 115
- Animal Science and Zoology 126
- Physiology 56
Countries citing papers authored by Yiting Guo
This map shows the geographic impact of Yiting Guo'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 Yiting Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiting Guo more than expected).
Fields of papers citing papers by Yiting Guo
This network shows the impact of papers produced by Yiting Guo. 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 Yiting Guo. The network helps show where Yiting Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiting Guo, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 100 | |
| 2 | 2020 | 79 | |
| 3 | 2018 | 77 | |
| 4 | 2021 | 77 | |
| 5 | 2021 | 65 | |
| 6 | 2022 | 54 | |
| 7 | 2022 | 49 | |
| 8 | 2018 | 45 | |
| 9 | 2020 | 41 | |
| 10 | 2021 | 40 | |
| 11 | 2019 | 39 | |
| 12 | 2018 | 38 | |
| 13 | 2020 | 33 | |
| 14 | 2020 | 27 | |
| 15 | 2023 | 22 | |
| 16 | 2023 | 21 | |
| 17 | 2017 | 21 | |
| 18 | 2023 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2021 | 20 |
About Yiting Guo
Yiting Guo is a scholar working on Food Science, Molecular Biology, Biotechnology, Animal Science and Zoology and Plant Science, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (13 papers), Microbial Inactivation Methods (12 papers), Meat and Animal Product Quality (7 papers), Food Drying and Modeling (6 papers), Postharvest Quality and Shelf Life Management (6 papers), Probiotics and Fermented Foods (5 papers), Insect Utilization and Effects (4 papers) and Proteins in Food Systems (4 papers). The work is most often cited by research in Food Science (541 citations), Biotechnology (235 citations), Biochemistry (115 citations), Animal Science and Zoology (126 citations) and Physiology (56 citations). Yiting Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haile Ma, Bengang Wu, Ping Wu, Dandan Liu, Zhongli Pan, Moses Kwaku Golly, Yuqing Duan, Yang Wang, Cunshan Zhou and Lina Guo. Their work appears in journals such as Food Chemistry, Food Bioscience, Innovative Food Science & Emerging Technologies, Critical Reviews in Food Science and Nutrition and Frontiers in Nutrition.
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.