Cin Kong
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- 3D Printing in Biomedical Research 4
- Co-authors
- Sheila Nathan (11 shared papers)Hui‐min Neoh (1 shared paper)Noorsaadah Abd Rahman (3 shared papers)Ing Kong (11 shared papers)Akesh Babu Kakarla (10 shared papers)Man-Wah Tan (3 shared papers)Chin Fei Chee (1 shared paper)Nicky Thomas (1 shared paper)
- Journals
- Scientific Reports (2 papers)Polymers (2 papers)Journal of Nanoparticle Research (1 paper)Microbial Genomics (1 paper)Carbon (1 paper)
- Partner nations
- MalaysiaAustraliaUnited States
In The Last Decade
Cin Kong
31 papers receiving 760 citations
Peers
Comparison fields: 5 of 106
- Aging 58
- Microbiology 92
- Infectious Diseases 190
- Molecular Medicine 48
- Molecular Biology 329
Countries citing papers authored by Cin Kong
This map shows the geographic impact of Cin Kong'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 Cin Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cin Kong more than expected).
Fields of papers citing papers by Cin Kong
This network shows the impact of papers produced by Cin Kong. 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 Cin Kong. The network helps show where Cin Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Cin Kong, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 246 | |
| 2 | 2018 | 112 | |
| 3 | 2014 | 65 | |
| 4 | 2015 | 48 | |
| 5 | 2021 | 39 | |
| 6 | 2021 | 37 | |
| 7 | 2013 | 34 | |
| 8 | 2016 | 34 | |
| 9 | 2014 | 23 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2022 | 16 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 11 | |
| 16 | 2019 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 3 |
About Cin Kong
Cin Kong is a scholar working on Molecular Biology, Biomedical Engineering, Aging, Materials Chemistry and Automotive Engineering, having authored 32 papers that have together received 775 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Burkholderia infections and melioidosis (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), 3D Printing in Biomedical Research (4 papers), Nanoparticles: synthesis and applications (2 papers), Carbon and Quantum Dots Applications (2 papers), Nanomaterials for catalytic reactions (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Aging (58 citations), Microbiology (92 citations), Infectious Diseases (190 citations), Molecular Medicine (48 citations) and Molecular Biology (329 citations). Cin Kong has collaborated with scholars based in Malaysia, Australia and United States. Frequent co-authors include Sheila Nathan, Hui‐min Neoh, Noorsaadah Abd Rahman, Ing Kong, Akesh Babu Kakarla, Man-Wah Tan, Chin Fei Chee, Nicky Thomas, Katharina Richter and Helen Irving. Their work appears in journals such as Scientific Reports, Polymers, Journal of Nanoparticle Research, Microbial Genomics and Carbon.
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.