Dandan Pu
Impact in
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
- Animal Science and Zoology top 1%
- Meat and Animal Product Quality
Papers in ⓘ
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- Biochemical Analysis and Sensing Techniques 22
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- Advanced Chemical Sensor Technologies 21
- Co-authors
- Yuyu Zhang (36 shared papers)Baoguo Sun (24 shared papers)Fazheng Ren (9 shared papers)Haitao Chen (8 shared papers)Yizhuang Tang (6 shared papers)Yan Huang (8 shared papers)Yimeng Shan (7 shared papers)Huiying Zhang (4 shared papers)
In The Last Decade
Dandan Pu
41 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Sensory Systems 212
- Animal Science and Zoology 410
- Nutrition and Dietetics 587
- Food Science 630
- Biochemistry 197
Countries citing papers authored by Dandan Pu
This map shows the geographic impact of Dandan Pu'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 Dandan Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Pu more than expected).
Fields of papers citing papers by Dandan Pu
This network shows the impact of papers produced by Dandan Pu. 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 Dandan Pu. The network helps show where Dandan Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan Pu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 121 | |
| 2 | Recent advances and application of machine learning in food flavor prediction and regulation Hit paper breakdown → | 2023 | 119 |
| 3 | 2022 | 111 | |
| 4 | 2020 | 86 | |
| 5 | 2020 | 86 | |
| 6 | Identification of Novel Umami Peptides in Chicken Breast Soup through a Sensory-Guided Approach and Molecular Docking to the T1R1/T1R3 Taste Receptor Hit paper breakdown → | 2023 | 85 |
| 7 | 2022 | 82 | |
| 8 | 2019 | 79 | |
| 9 | 2020 | 66 | |
| 10 | 2020 | 60 | |
| 11 | 2022 | 58 | |
| 12 | 2022 | 50 | |
| 13 | 2019 | 48 | |
| 14 | 2020 | 41 | |
| 15 | 2023 | 35 | |
| 16 | 2020 | 31 | |
| 17 | 2019 | 31 | |
| 18 | 2024 | 26 | |
| 19 | 2022 | 25 | |
| 20 | 2024 | 24 |
About Dandan Pu
Dandan Pu is a scholar working on Nutrition and Dietetics, Biomedical Engineering, Animal Science and Zoology, Food Science and Sensory Systems, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (22 papers), Advanced Chemical Sensor Technologies (21 papers), Meat and Animal Product Quality (19 papers), Fermentation and Sensory Analysis (13 papers), Olfactory and Sensory Function Studies (12 papers), Sensory Analysis and Statistical Methods (6 papers), Phytochemicals and Antioxidant Activities (3 papers) and Tea Polyphenols and Effects (2 papers). The work is most often cited by research in Sensory Systems (212 citations), Animal Science and Zoology (410 citations), Nutrition and Dietetics (587 citations), Food Science (630 citations) and Biochemistry (197 citations). Dandan Pu has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Yuyu Zhang, Baoguo Sun, Fazheng Ren, Haitao Chen, Yizhuang Tang, Yan Huang, Yimeng Shan, Huiying Zhang, Huiying Zhang and Lili Zhang. Their work appears in journals such as Foods, Food Chemistry, Food Research International, Journal of Agricultural and Food Chemistry 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.