Dan Wu
Impact in
- Insect Science top 5%
- Insect Utilization and Effects
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 16
- Heat shock proteins research 5
- Physiology 16
- Biochemical effects in animals 12
- Co-authors
- M. J. Lehane (1 shared paper)S. M. Lehane (1 shared paper)Weihong Min (20 shared papers)Songyi Lin (5 shared papers)Chunlei Liu (18 shared papers)Ji Wang (13 shared papers)Beiwei Zhu (4 shared papers)Xiaoting Liu (10 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (10 papers)Food & Function (4 papers)International Immunopharmacology (3 papers)Food Bioscience (3 papers)Animals (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Wu
89 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Insect Science 178
- Microbiology 84
- Molecular Biology 732
- Nutrition and Dietetics 132
- Physiology 193
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan Wu'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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan Wu. 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 Dan Wu. The network helps show where Dan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wu, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 129 | |
| 2 | 2011 | 77 | |
| 3 | 2020 | 68 | |
| 4 | 2014 | 60 | |
| 5 | 2020 | 52 | |
| 6 | 2022 | 45 | |
| 7 | 2020 | 44 | |
| 8 | 2023 | 42 | |
| 9 | 2019 | 39 | |
| 10 | 2021 | 38 | |
| 11 | 2022 | 35 | |
| 12 | 2022 | 34 | |
| 13 | 2020 | 32 | |
| 14 | 2021 | 30 | |
| 15 | 2014 | 27 | |
| 16 | 2019 | 27 | |
| 17 | 2023 | 25 | |
| 18 | 2017 | 24 | |
| 19 | 2018 | 24 | |
| 20 | 2024 | 23 |
About Dan Wu
Dan Wu is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Plant Science and Animal Science and Zoology, having authored 95 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (16 papers), Biochemical effects in animals (12 papers), Meat and Animal Product Quality (6 papers), Clinical Nutrition and Gastroenterology (6 papers), Heat shock proteins research (5 papers), Insect Utilization and Effects (4 papers), Nuts composition and effects (4 papers) and Sirtuins and Resveratrol in Medicine (4 papers). The work is most often cited by research in Insect Science (178 citations), Microbiology (84 citations), Molecular Biology (732 citations), Nutrition and Dietetics (132 citations) and Physiology (193 citations). Dan Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include M. J. Lehane, S. M. Lehane, Weihong Min, Songyi Lin, Chunlei Liu, Ji Wang, Beiwei Zhu, Xiaoting Liu, Na Sun and Fang Li. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food & Function, International Immunopharmacology, Food Bioscience and Animals.
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.