Nan Fu
Impact in
- Food Science top 0.5%
- Microencapsulation and Drying Processes
- Probiotics and Fermented Foods
- Proteins in Food Systems
- Biotechnology top 2%
- Microbial Inactivation Methods
Papers in
- Food Science 64
- Microencapsulation and Drying Processes 55
- Proteins in Food Systems 21
- Probiotics and Fermented Foods 16
- Food Drying and Modeling 13
- Co-authors
- Xiao Dong Chen (74 shared papers)Meng Wai Woo (25 shared papers)P. Peiris (2 shared papers)Huolin Shen (4 shared papers)Cordelia Selomulya (14 shared papers)Winston Duo Wu (10 shared papers)Sheng‐Ming Xie (7 shared papers)Jun‐Hui Zhang (7 shared papers)
- Journals
- International Journal of Food Engineering (13 papers)Journal of Food Engineering (12 papers)Food Research International (7 papers)Drying Technology (6 papers)Food and Bioprocess Technology (5 papers)
- Partner nations
- ChinaAustraliaNew Zealand
In The Last Decade
Nan Fu
118 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 140
- Food Science 1.5k
- Biotechnology 253
- Nutrition and Dietetics 363
- Biomedical Engineering 567
- Pharmaceutical Science 78
Countries citing papers authored by Nan Fu
This map shows the geographic impact of Nan Fu'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 Nan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Fu more than expected).
Fields of papers citing papers by Nan Fu
This network shows the impact of papers produced by Nan Fu. 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 Nan Fu. The network helps show where Nan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Fu, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 271 | |
| 2 | 2017 | 129 | |
| 3 | 2009 | 118 | |
| 4 | 2012 | 97 | |
| 5 | 2012 | 96 | |
| 6 | 2013 | 86 | |
| 7 | 2013 | 85 | |
| 8 | 2009 | 82 | |
| 9 | 2018 | 82 | |
| 10 | 2018 | 79 | |
| 11 | 2011 | 79 | |
| 12 | 2019 | 68 | |
| 13 | 2011 | 66 | |
| 14 | 2013 | 65 | |
| 15 | 2007 | 64 | |
| 16 | 2015 | 64 | |
| 17 | 2007 | 53 | |
| 18 | 2018 | 51 | |
| 19 | 2018 | 47 | |
| 20 | 2018 | 43 |
About Nan Fu
Nan Fu is a scholar working on Food Science, Materials Chemistry, Molecular Biology, Biotechnology and Computational Mechanics, having authored 123 papers that have together received 3.2k indexed citations. Recurring topics across this work include Microencapsulation and Drying Processes (55 papers), Proteins in Food Systems (21 papers), Probiotics and Fermented Foods (16 papers), Food Drying and Modeling (13 papers), Microbial Inactivation Methods (13 papers), Fluid Dynamics and Heat Transfer (8 papers), Inhalation and Respiratory Drug Delivery (8 papers) and Nanomaterials and Printing Technologies (7 papers). The work is most often cited by research in Food Science (1.5k citations), Biotechnology (253 citations), Nutrition and Dietetics (363 citations), Biomedical Engineering (567 citations) and Pharmaceutical Science (78 citations). Nan Fu has collaborated with scholars based in China, Australia and New Zealand. Frequent co-authors include Xiao Dong Chen, Meng Wai Woo, P. Peiris, Huolin Shen, Cordelia Selomulya, Winston Duo Wu, Sheng‐Ming Xie, Jun‐Hui Zhang, Li‐Ming Yuan and Romain Jeantet. Their work appears in journals such as International Journal of Food Engineering, Journal of Food Engineering, Food Research International, Drying Technology and Food and Bioprocess Technology.
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.