Chalet Tan
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
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- Heme Oxygenase-1 and Carbon Monoxide 8
- RNA Interference and Gene Delivery 7
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- Cancer, Hypoxia, and Metabolism 9
- MicroRNA in disease regulation 4
- Co-authors
- Erwin G. Van Meir (8 shared papers)Daniel J. Brat (2 shared papers)Xin Dai (6 shared papers)Stephen Hunter (1 shared paper)Anita C. Bellail (1 shared paper)Quincy Teng (6 shared papers)Yingzhe Wang (11 shared papers)Thomas A. Waldmann (1 shared paper)
- Journals
- Molecular Pharmaceutics (4 papers)Pharmaceutics (3 papers)International Journal of Pharmaceutics (3 papers)Advanced Drug Delivery Reviews (2 papers)Journal of Neuro-Oncology (2 papers)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Chalet Tan
50 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 519
- Biomaterials 363
- Genetics 222
- Immunology 383
- Molecular Biology 1.3k
Countries citing papers authored by Chalet Tan
This map shows the geographic impact of Chalet 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 Chalet Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chalet Tan more than expected).
Fields of papers citing papers by Chalet Tan
This network shows the impact of papers produced by Chalet 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 Chalet Tan. The network helps show where Chalet Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chalet 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 439 | |
| 2 | 2009 | 246 | |
| 3 | 2008 | 178 | |
| 4 | 2014 | 130 | |
| 5 | Proteasome inhibitor PS-341, a potential therapeutic agent for adult T-cell leukemia. | 2002 | 130 |
| 6 | 2005 | 128 | |
| 7 | 2021 | 124 | |
| 8 | 2004 | 120 | |
| 9 | 2019 | 117 | |
| 10 | 2020 | 73 | |
| 11 | 2014 | 62 | |
| 12 | 2013 | 58 | |
| 13 | 2018 | 58 | |
| 14 | 2011 | 51 | |
| 15 | 2012 | 49 | |
| 16 | 2018 | 45 | |
| 17 | 2013 | 44 | |
| 18 | 2021 | 39 | |
| 19 | 2010 | 39 | |
| 20 | 2020 | 36 |
About Chalet Tan
Chalet Tan is a scholar working on Molecular Biology, Cancer Research, Oncology, Biomaterials and Pharmacology, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (9 papers), Heme Oxygenase-1 and Carbon Monoxide (8 papers), Nanoparticle-Based Drug Delivery (8 papers), RNA Interference and Gene Delivery (7 papers), Neonatal Health and Biochemistry (6 papers), Cannabis and Cannabinoid Research (6 papers), MicroRNA in disease regulation (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Cancer Research (519 citations), Biomaterials (363 citations), Genetics (222 citations), Immunology (383 citations) and Molecular Biology (1.3k citations). Chalet Tan has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Erwin G. Van Meir, Daniel J. Brat, Xin Dai, Stephen Hunter, Anita C. Bellail, Quincy Teng, Yingzhe Wang, Thomas A. Waldmann, Ram I. Mahato and Virender Kumar. Their work appears in journals such as Molecular Pharmaceutics, Pharmaceutics, International Journal of Pharmaceutics, Advanced Drug Delivery Reviews and Journal of Neuro-Oncology.
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.