Grace Tan
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
Papers in
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- Lipid Membrane Structure and Behavior 5
- RNA Interference and Gene Delivery 4
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- Surfactants and Colloidal Systems 7
- Co-authors
- Vijay T. John (21 shared papers)Marianthi Kiriakidou (5 shared papers)Jibao He (11 shared papers)Zissimos P. Mourelatos (2 shared papers)Peter T. Nelson (2 shared papers)Mariangels De Planell-Saguer (1 shared paper)Richard G. Weiss (1 shared paper)M. V. George (1 shared paper)
- Journals
- Langmuir (10 papers)ACS Chemical Biology (1 paper)Nanomedicine Nanotechnology Biology and Medicine (1 paper)Advanced Materials (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesSingaporeAustria
In The Last Decade
Grace Tan
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Pharmaceutical Science 244
- Molecular Medicine 177
- Biomaterials 372
- Cancer Research 359
- Molecular Biology 773
Countries citing papers authored by Grace Tan
This map shows the geographic impact of Grace Tan'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 Grace Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Tan more than expected).
Fields of papers citing papers by Grace Tan
This network shows the impact of papers produced by Grace Tan. 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 Grace Tan. The network helps show where Grace Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Tan, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 351 | |
| 2 | 2011 | 274 | |
| 3 | 2005 | 159 | |
| 4 | 2008 | 136 | |
| 5 | 2009 | 105 | |
| 6 | 2009 | 81 | |
| 7 | 2011 | 75 | |
| 8 | 2007 | 53 | |
| 9 | 2005 | 42 | |
| 10 | 2009 | 30 | |
| 11 | 2006 | 26 | |
| 12 | 2009 | 24 | |
| 13 | 2006 | 18 | |
| 14 | 2009 | 18 | |
| 15 | 2011 | 18 | |
| 16 | 2008 | 18 | |
| 17 | 2010 | 17 | |
| 18 | 2004 | 17 | |
| 19 | 2010 | 16 | |
| 20 | 2014 | 15 |
About Grace Tan
Grace Tan is a scholar working on Molecular Biology, Organic Chemistry, Biomaterials, Materials Chemistry and Electrical and Electronic Engineering, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Surfactants and Colloidal Systems (7 papers), Mesoporous Materials and Catalysis (7 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Lipid Membrane Structure and Behavior (5 papers), Supramolecular Self-Assembly in Materials (5 papers), RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (4 papers) and Food Chemistry and Fat Analysis (3 papers). The work is most often cited by research in Pharmaceutical Science (244 citations), Molecular Medicine (177 citations), Biomaterials (372 citations), Cancer Research (359 citations) and Molecular Biology (773 citations). Grace Tan has collaborated with scholars based in United States, Singapore and Austria. Frequent co-authors include Vijay T. John, Marianthi Kiriakidou, Jibao He, Zissimos P. Mourelatos, Peter T. Nelson, Mariangels De Planell-Saguer, Richard G. Weiss, M. V. George, Gary L. McPherson and Barry G. Garchow. Their work appears in journals such as Langmuir, ACS Chemical Biology, Nanomedicine Nanotechnology Biology and Medicine, Advanced Materials and Brain Research.
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.