Fei Pan
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 10
- Advanced biosensing and bioanalysis techniques 5
- Food Science 28
- Proteins in Food Systems 11
- Polysaccharides Composition and Applications 7
- Co-authors
- Daxiang Cui (9 shared papers)Chunlei Zhang (8 shared papers)Lei Zhao (28 shared papers)Jesús M. de la Fuente (7 shared papers)Yuming Yang (4 shared papers)Gabriel Alfranca (4 shared papers)Xiao Zhi (4 shared papers)Arshad Mehmood (7 shared papers)
- Journals
- Food Chemistry (15 papers)International Journal of Biological Macromolecules (6 papers)Foods (5 papers)Journal of Food Biochemistry (4 papers)Nutrients (4 papers)
- Partner nations
- ChinaSpainUnited States
In The Last Decade
Fei Pan
107 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 133
- Biomaterials 428
- Biochemistry 192
- Food Science 460
- Biomedical Engineering 1.1k
- Nutrition and Dietetics 271
Countries citing papers authored by Fei Pan
This map shows the geographic impact of Fei Pan'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 Fei Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Pan more than expected).
Fields of papers citing papers by Fei Pan
This network shows the impact of papers produced by Fei Pan. 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 Fei Pan. The network helps show where Fei Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Pan, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 248 | |
| 2 | 2016 | 190 | |
| 3 | 2016 | 162 | |
| 4 | 2015 | 124 | |
| 5 | 2013 | 101 | |
| 6 | 2017 | 101 | |
| 7 | 2017 | 99 | |
| 8 | 2020 | 82 | |
| 9 | 2016 | 68 | |
| 10 | 2022 | 67 | |
| 11 | 2021 | 67 | |
| 12 | 2022 | 65 | |
| 13 | 2020 | 61 | |
| 14 | 2021 | 61 | |
| 15 | 2021 | 49 | |
| 16 | 2021 | 42 | |
| 17 | 2022 | 37 | |
| 18 | 2023 | 35 | |
| 19 | 2021 | 35 | |
| 20 | 2021 | 34 |
About Fei Pan
Fei Pan is a scholar working on Molecular Biology, Food Science, Biomedical Engineering, Computational Theory and Mathematics and Plant Science, having authored 120 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Phytochemicals and Antioxidant Activities (12 papers), Proteins in Food Systems (11 papers), Protein Hydrolysis and Bioactive Peptides (10 papers), Nanoplatforms for cancer theranostics (9 papers), Polysaccharides Composition and Applications (7 papers), Food composition and properties (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Biomaterials (428 citations), Biochemistry (192 citations), Food Science (460 citations), Biomedical Engineering (1.1k citations) and Nutrition and Dietetics (271 citations). Fei Pan has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Daxiang Cui, Chunlei Zhang, Lei Zhao, Jesús M. de la Fuente, Yuming Yang, Gabriel Alfranca, Xiao Zhi, Arshad Mehmood, Shuai Hao and Qian Zhang. Their work appears in journals such as Food Chemistry, International Journal of Biological Macromolecules, Foods, Journal of Food Biochemistry and Nutrients.
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.