Chalet Tan
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
- Biomaterials 13
- Nanoparticle-Based Drug Delivery 13
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- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Erwin G. Van Meir (8 shared papers)Daniel Jay Brat (2 shared papers)Xin Dai (6 shared papers)STEPHEN B. 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)International Journal of Pharmaceutics (3 papers)Pharmaceutics (3 papers)Medicinal Chemistry Research (2 papers)Journal of Neuro-Oncology (2 papers)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Chalet Tan
51 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 100
- Genetics 339
- Biomaterials 442
- Cancer Research 337
- Molecular Biology 815
- Pharmaceutical Science 66
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 442 | |
| 2 | 2009 | 251 | |
| 3 | 2005 | 191 | |
| 4 | 2008 | 180 | |
| 5 | 2014 | 133 | |
| 6 | Proteasome inhibitor PS-341, a potential therapeutic agent for adult T-cell leukemia. | 2002 | 132 |
| 7 | 2021 | 132 | |
| 8 | 2019 | 122 | |
| 9 | 2004 | 118 | |
| 10 | 2020 | 74 | |
| 11 | 2018 | 67 | |
| 12 | 2014 | 65 | |
| 13 | 2013 | 57 | |
| 14 | 2011 | 51 | |
| 15 | 2012 | 51 | |
| 16 | 2018 | 46 | |
| 17 | 2013 | 44 | |
| 18 | 2021 | 41 | |
| 19 | 2010 | 40 | |
| 20 | 2020 | 40 |
About Chalet Tan
Chalet Tan is a scholar working on Biomaterials, Cancer Research, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 54 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (13 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), RNA Interference and Gene Delivery (5 papers), Inhalation and Respiratory Drug Delivery (3 papers), Synthesis and biological activity (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Advanced Drug Delivery Systems (2 papers). The work is most often cited by research in Genetics (339 citations), Biomaterials (442 citations), Cancer Research (337 citations), Molecular Biology (815 citations) and Pharmaceutical Science (66 citations). Chalet Tan has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Erwin G. Van Meir, Daniel Jay Brat, Xin Dai, STEPHEN B. 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, International Journal of Pharmaceutics, Pharmaceutics, Medicinal Chemistry Research 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.