Fei Pan
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Nanocomposite Films for Food Packaging
- Food Science top 2%
- Proteins in Food Systems
Papers in
- Food Science 13
- Proteins in Food Systems 8
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- Food Allergy and Anaphylaxis Research 6
- Co-authors
- Daxiang Cui (9 shared papers)Chunlei Zhang (8 shared papers)Lei Zhao (30 shared papers)Jesús M. de la Fuente (7 shared papers)Gabriel Alfranca (4 shared papers)Yuming Yang (4 shared papers)Arshad Mehmood (7 shared papers)Xiao Zhi (4 shared papers)
In The Last Decade
Fei Pan
106 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 82
- Biomaterials 216
- Food Science 313
- Biomedical Engineering 473
- Electronic, Optical and Magnetic Materials 192
- Nutrition and Dietetics 121
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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 272 | |
| 2 | 2016 | 198 | |
| 3 | 2016 | 173 | |
| 4 | 2015 | 132 | |
| 5 | 2017 | 107 | |
| 6 | 2017 | 103 | |
| 7 | 2013 | 102 | |
| 8 | 2020 | 95 | |
| 9 | 2021 | 80 | |
| 10 | 2022 | 77 | |
| 11 | 2022 | 75 | |
| 12 | 2021 | 71 | |
| 13 | 2016 | 69 | |
| 14 | 2020 | 68 | |
| 15 | 2021 | 51 | |
| 16 | 2021 | 49 | |
| 17 | 2021 | 43 | |
| 18 | 2022 | 43 | |
| 19 | 2021 | 39 | |
| 20 | 2023 | 39 |
About Fei Pan
Fei Pan is a scholar working on Food Science, Immunology and Allergy, Nutrition and Dietetics, Insect Science and Computational Theory and Mathematics, having authored 119 papers that have together received 3.0k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (9 papers), Proteins in Food Systems (8 papers), Computational Drug Discovery Methods (7 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Food Allergy and Anaphylaxis Research (6 papers), Food composition and properties (5 papers), Antimicrobial Peptides and Activities (4 papers) and Bee Products Chemical Analysis (4 papers). The work is most often cited by research in Biomaterials (216 citations), Food Science (313 citations), Biomedical Engineering (473 citations), Electronic, Optical and Magnetic Materials (192 citations) and Nutrition and Dietetics (121 citations). Fei Pan has collaborated with scholars based in China, Germany and Spain. Frequent co-authors include Daxiang Cui, Chunlei Zhang, Lei Zhao, Jesús M. de la Fuente, Gabriel Alfranca, Yuming Yang, Arshad Mehmood, Xiao Zhi, Shuai Hao and Qian Zhang. Their work appears in journals such as Food Chemistry, Foods, International Journal of Biological Macromolecules, Nutrients and Food Research International.
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.