Wei Sing Long
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- DNA and Nucleic Acid Chemistry
- Enzyme Catalysis and Immobilization
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- DNA and Nucleic Acid Chemistry 23
- Enzyme Catalysis and Immobilization 7
- Mitochondrial Function and Pathology 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Peixun Liu (5 shared papers)Azlina Harun Kamaruddin (7 shared papers)Yu‐Jing Lu (21 shared papers)Wing‐Leung Wong (24 shared papers)Subhash Bhatia (3 shared papers)Bo‐Xin Zheng (18 shared papers)Jia Huey Sim (2 shared papers)Ghasem Darzi Najafpour (1 shared paper)
In The Last Decade
Wei Sing Long
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Computational Theory and Mathematics 149
- Molecular Biology 569
- Spectroscopy 70
- Biomedical Engineering 123
- Organic Chemistry 100
Countries citing papers authored by Wei Sing Long
This map shows the geographic impact of Wei Sing Long'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 Wei Sing Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Sing Long more than expected).
Fields of papers citing papers by Wei Sing Long
This network shows the impact of papers produced by Wei Sing Long. 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 Wei Sing Long. The network helps show where Wei Sing Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Sing Long, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 177 | |
| 2 | 2006 | 68 | |
| 3 | 2006 | 55 | |
| 4 | 2022 | 55 | |
| 5 | 2012 | 54 | |
| 6 | 2006 | 53 | |
| 7 | 2004 | 46 | |
| 8 | 2004 | 41 | |
| 9 | 2020 | 34 | |
| 10 | 2022 | 32 | |
| 11 | 2022 | 27 | |
| 12 | 2024 | 27 | |
| 13 | 2021 | 25 | |
| 14 | 2021 | 25 | |
| 15 | 2004 | 24 | |
| 16 | 2020 | 24 | |
| 17 | 2024 | 23 | |
| 18 | 2008 | 22 | |
| 19 | 2016 | 22 | |
| 20 | 2022 | 22 |
About Wei Sing Long
Wei Sing Long is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biomedical Engineering, Biochemistry and Building and Construction, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (23 papers), Enzyme Catalysis and Immobilization (7 papers), Computational Drug Discovery Methods (7 papers), Nanoplatforms for cancer theranostics (7 papers), Biofuel production and bioconversion (2 papers), Mitochondrial Function and Pathology (2 papers), Anaerobic Digestion and Biogas Production (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Computational Theory and Mathematics (149 citations), Molecular Biology (569 citations), Spectroscopy (70 citations), Biomedical Engineering (123 citations) and Organic Chemistry (100 citations). Wei Sing Long has collaborated with scholars based in China, Hong Kong and Malaysia. Frequent co-authors include Peixun Liu, Azlina Harun Kamaruddin, Yu‐Jing Lu, Wing‐Leung Wong, Subhash Bhatia, Bo‐Xin Zheng, Jia Huey Sim, Ghasem Darzi Najafpour, Jinqiang Hou and Yaoxun Zeng. Their work appears in journals such as Journal of Medicinal Chemistry, Sensors and Actuators B Chemical, Chemical Engineering Journal, International Journal of Molecular Sciences and Journal of Luminescence.
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.