Saikun Pan
Impact in
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
- Seaweed-derived Bioactive Compounds
- Food Science top 5%
- Polysaccharides Composition and Applications
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 8
- Food Science 13
- Polysaccharides Composition and Applications 6
- Co-authors
- Shengjun Wu (23 shared papers)Dongrui Yao (4 shared papers)Jing Chen (2 shared papers)Shujun Wang (1 shared paper)Longfa Jiang (3 shared papers)Hongbin Wang (2 shared papers)Xiaohong Gu (1 shared paper)Jian Tang (1 shared paper)
- Journals
- Carbohydrate Polymers (9 papers)International Journal of Biological Macromolecules (5 papers)Food Chemistry (3 papers)European Food Research and Technology (2 papers)Journal of the Science of Food and Agriculture (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Saikun Pan
34 papers receiving 687 citations
Peers
Comparison fields: 5 of 93
- Aquatic Science 153
- Food Science 200
- Animal Science and Zoology 92
- Biotechnology 67
- Biomaterials 99
Countries citing papers authored by Saikun Pan
This map shows the geographic impact of Saikun 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 Saikun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saikun Pan more than expected).
Fields of papers citing papers by Saikun Pan
This network shows the impact of papers produced by Saikun 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 Saikun Pan. The network helps show where Saikun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Saikun 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 93 | |
| 2 | 2018 | 47 | |
| 3 | 2011 | 46 | |
| 4 | 2013 | 39 | |
| 5 | 2014 | 38 | |
| 6 | 2013 | 34 | |
| 7 | 2009 | 34 | |
| 8 | 2014 | 34 | |
| 9 | 2020 | 30 | |
| 10 | 2011 | 30 | |
| 11 | 2011 | 26 | |
| 12 | 2011 | 24 | |
| 13 | 2014 | 21 | |
| 14 | 2017 | 21 | |
| 15 | 2013 | 21 | |
| 16 | 2012 | 19 | |
| 17 | 2011 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2011 | 14 | |
| 20 | 2014 | 13 |
About Saikun Pan
Saikun Pan is a scholar working on Molecular Biology, Food Science, Plant Science, Animal Science and Zoology and Biomaterials, having authored 37 papers that have together received 697 indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (10 papers), Protein Hydrolysis and Bioactive Peptides (8 papers), Meat and Animal Product Quality (8 papers), Nanocomposite Films for Food Packaging (7 papers), Polysaccharides Composition and Applications (6 papers), Insect Utilization and Effects (5 papers), Aquaculture Nutrition and Growth (5 papers) and Aquaculture disease management and microbiota (5 papers). The work is most often cited by research in Aquatic Science (153 citations), Food Science (200 citations), Animal Science and Zoology (92 citations), Biotechnology (67 citations) and Biomaterials (99 citations). Saikun Pan has collaborated with scholars based in China and United States. Frequent co-authors include Shengjun Wu, Dongrui Yao, Jing Chen, Shujun Wang, Longfa Jiang, Hongbin Wang, Xiaohong Gu, Jian Tang, Hongbin Wang and Yan Cao. Their work appears in journals such as Carbohydrate Polymers, International Journal of Biological Macromolecules, Food Chemistry, European Food Research and Technology and Journal of the Science of Food and Agriculture.
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.