Daniel Poon
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Skin and Cellular Biology Research
Papers in
-
- Synthesis and biological activity 5
-
- Melanoma and MAPK Pathways 5
- Heat shock proteins research 1
- Co-authors
- Rohit Srinivasan (2 shared papers)Ashik Amlani (1 shared paper)Keerthini Muthuswamy (1 shared paper)Cherry Sit (1 shared paper)Kristin M. Brinner (1 shared paper)Alireza Haghighi (1 shared paper)Nasrollah Saleh-Gohari (1 shared paper)Reza Yaghoobi (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Medicinal Chemistry (2 papers)ACS Medicinal Chemistry Letters (2 papers)Journal of Investigative Dermatology (2 papers)World Journal of Urology (1 paper)
- Partner nations
- United KingdomUnited StatesIran
In The Last Decade
Daniel Poon
17 papers receiving 617 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 300
- Cell Biology 36
- Genetics 54
- Organic Chemistry 54
- Molecular Biology 99
Countries citing papers authored by Daniel Poon
This map shows the geographic impact of Daniel Poon'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 Daniel Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Poon more than expected).
Fields of papers citing papers by Daniel Poon
This network shows the impact of papers produced by Daniel Poon. 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 Daniel Poon. The network helps show where Daniel Poon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Poon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 362 | |
| 2 | 2012 | 43 | |
| 3 | 2015 | 40 | |
| 4 | 2012 | 29 | |
| 5 | 2015 | 26 | |
| 6 | CHIR-265 is a potent selective inhibitor of c-Raf/B-Raf/mutB-Raf that effectively inhibits proliferation and survival of cancer cell lines with Ras/Raf pathway mutations | 2006 | 21 |
| 7 | 2014 | 21 | |
| 8 | 2009 | 20 | |
| 9 | 2020 | 16 | |
| 10 | 2015 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2014 | 11 | |
| 13 | 2015 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 1 | |
| 18 | 2023 | 0 |
About Daniel Poon
Daniel Poon is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Computational Theory and Mathematics and Health Informatics, having authored 18 papers that have together received 643 indexed citations. Recurring topics across this work include Synthesis and biological activity (5 papers), Melanoma and MAPK Pathways (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Computational Drug Discovery Methods (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Heat shock proteins research (1 paper), Ocular Oncology and Treatments (1 paper) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Health Informatics (300 citations), Cell Biology (36 citations), Genetics (54 citations), Organic Chemistry (54 citations) and Molecular Biology (99 citations). Daniel Poon has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include Rohit Srinivasan, Ashik Amlani, Keerthini Muthuswamy, Cherry Sit, Kristin M. Brinner, Alireza Haghighi, Nasrollah Saleh-Gohari, Reza Yaghoobi, David P. Kelsell and Vincent Plagnol. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Journal of Investigative Dermatology and World Journal of Urology.
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.