Chee‐Yuen Gan
- Molecular Biology top 5%
- Food Science top 0.2%
- Plant Science top 5%
- Nutrition and Dietetics top 1%
- Insect Science top 1%
- Co-authors
- Aishah A. LatiffYing-Yuan NgohSajid MaqsoodPriti MudgilHwee-Leng SiowMuhammad Hakimin ShafieHina KamalRizana Yusof
- Topics
- Protein Hydrolysis and Bioactive Peptides (52 papers)Proteins in Food Systems (18 papers)Insect Utilization and Effects (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- MalaysiaUnited Arab EmiratesUnited Kingdom
In The Last Decade
Chee‐Yuen Gan
136 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 2.0k
- Food Science 1.7k
- Plant Science 753
- Nutrition and Dietetics 662
- Insect Science 569
Countries citing papers authored by Chee‐Yuen Gan
This map shows the geographic impact of Chee‐Yuen Gan'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 Chee‐Yuen Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee‐Yuen Gan more than expected).
Fields of papers citing papers by Chee‐Yuen Gan
This network shows the impact of papers produced by Chee‐Yuen Gan. 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 Chee‐Yuen Gan. The network helps show where Chee‐Yuen Gan may publish in the future.
Co-authorship network of co-authors of Chee‐Yuen Gan
This figure shows the co-authorship network connecting the top 25 collaborators of Chee‐Yuen Gan. A scholar is included among the top collaborators of Chee‐Yuen Gan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chee‐Yuen Gan. Chee‐Yuen Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 28 | |
| 11 | 23 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 25 | |
| 16 | 67 | |
| 17 | 4 | |
| 18 | 46 | |
| 19 | 94 | |
| 20 | Optimization study for synthetic dye removal using an agricultural waste of Parkia speciosa pod: a sustainable approach for waste water treatment. | 4 |
About Chee‐Yuen Gan
Chee‐Yuen Gan is a scholar working on Filtration and Separation, Food Science and Nutrition and Dietetics, having authored 142 papers that have together received 4.6k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (52 papers), Proteins in Food Systems (18 papers) and Insect Utilization and Effects (14 papers). The work is most often cited by research in Food Science (1.7k citations), Filtration and Separation (115 citations) and Insect Science (569 citations). Chee‐Yuen Gan has collaborated with scholars based in Malaysia, United Arab Emirates and United Kingdom. Frequent co-authors include Aishah A. Latiff, Ying-Yuan Ngoh, Sajid Maqsood, Priti Mudgil, Hwee-Leng Siow, Muhammad Hakimin Shafie, Hina Kamal, Rizana Yusof, Olusegun Abayomi Olalere and Pei‐Gee Yap. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.