Yali Dang
Impact in
- Sensory Systems top 0.5%
- Olfactory and Sensory Function Studies
- Animal Science and Zoology top 0.5%
- Meat and Animal Product Quality
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 44
-
- Meat and Animal Product Quality 31
- Co-authors
- Daodong Pan (45 shared papers)Xinchang Gao (40 shared papers)Jinxuan Cao (21 shared papers)Yangying Sun (18 shared papers)Jun He (17 shared papers)Hao Li (5 shared papers)Fumin Ma (3 shared papers)Xueqian Wu (2 shared papers)
- Journals
- Food Chemistry (16 papers)Journal of Agricultural and Food Chemistry (8 papers)Food Bioscience (7 papers)Food Research International (6 papers)Journal of the Science of Food and Agriculture (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yali Dang
91 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 108
- Sensory Systems 424
- Animal Science and Zoology 857
- Nutrition and Dietetics 1.2k
- Food Science 702
- Insect Science 248
Countries citing papers authored by Yali Dang
This map shows the geographic impact of Yali Dang'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 Yali Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yali Dang more than expected).
Fields of papers citing papers by Yali Dang
This network shows the impact of papers produced by Yali Dang. 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 Yali Dang. The network helps show where Yali Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yali Dang, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 178 | |
| 2 | 2014 | 139 | |
| 3 | 2022 | 110 | |
| 4 | 2020 | 109 | |
| 5 | 2022 | 102 | |
| 6 | 2014 | 98 | |
| 7 | 2022 | 93 | |
| 8 | 2020 | 88 | |
| 9 | 2022 | 88 | |
| 10 | 2019 | 86 | |
| 11 | 2022 | 85 | |
| 12 | 2020 | 81 | |
| 13 | 2019 | 79 | |
| 14 | 2021 | 72 | |
| 15 | 2022 | 69 | |
| 16 | 2018 | 65 | |
| 17 | 2018 | 59 | |
| 18 | 2021 | 58 | |
| 19 | 2019 | 56 | |
| 20 | 2015 | 48 |
About Yali Dang
Yali Dang is a scholar working on Molecular Biology, Animal Science and Zoology, Nutrition and Dietetics, Food Science and Physiology, having authored 103 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (44 papers), Meat and Animal Product Quality (31 papers), Biochemical Analysis and Sensing Techniques (27 papers), Biochemical effects in animals (17 papers), Advanced Chemical Sensor Technologies (14 papers), Olfactory and Sensory Function Studies (11 papers), Muscle metabolism and nutrition (8 papers) and Insect Utilization and Effects (8 papers). The work is most often cited by research in Sensory Systems (424 citations), Animal Science and Zoology (857 citations), Nutrition and Dietetics (1.2k citations), Food Science (702 citations) and Insect Science (248 citations). Yali Dang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daodong Pan, Xinchang Gao, Jinxuan Cao, Yangying Sun, Jun He, Hao Li, Fumin Ma, Xueqian Wu, Ying Hua and Yangying Sun. Their work appears in journals such as Food Chemistry, Journal of Agricultural and Food Chemistry, Food Bioscience, Food Research International and Journal of the Science of Food and Agriculture.
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.