Phil Chen
Impact in
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
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- Cancer-related Molecular Pathways
Papers in
-
- DNA Repair Mechanisms 2
- Peroxisome Proliferator-Activated Receptors 1
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- Wireless Communication Networks Research 2
- Co-authors
- Martin F. Lavin (3 shared papers)Magtouf Gatei (2 shared papers)Padmini S. Kedar (1 shared paper)Kevin J. Spring (1 shared paper)Jonas Björkman (1 shared paper)Dianne Watters (1 shared paper)Geoffrey W. Birrell (1 shared paper)Denis I. Crane (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Transgenic Research (1 paper)Molecular and Cellular Biology (1 paper)Oncogene (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Phil Chen
8 papers receiving 478 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 180
- Oncology 170
- Molecular Biology 420
- Cell Biology 55
- Aging 4
Countries citing papers authored by Phil Chen
This map shows the geographic impact of Phil Chen'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 Phil Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Chen more than expected).
Fields of papers citing papers by Phil Chen
This network shows the impact of papers produced by Phil Chen. 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 Phil Chen. The network helps show where Phil Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Chen, 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 | 2001 | 176 | |
| 2 | 1999 | 171 | |
| 3 | 2012 | 48 | |
| 4 | 1998 | 33 | |
| 5 | The Space Infrared Interferometric Telescope (SPIRIT): Highresolution imaging and spectroscopy in the far-infrared | 2014 | 30 |
| 6 | 2002 | 24 | |
| 7 | 1990 | 10 | |
| 8 | 2010 | 2 | |
| 9 | 2007 | 1 |
About Phil Chen
Phil Chen is a scholar working on Molecular Biology, Computer Networks and Communications, Oncology, Genetics and Electrical and Electronic Engineering, having authored 9 papers that have together received 495 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Wireless Communication Networks Research (2 papers), Advanced MIMO Systems Optimization (2 papers), Cancer-related Molecular Pathways (2 papers), Acute Myeloid Leukemia Research (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Superconducting and THz Device Technology (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Cancer Research (180 citations), Oncology (170 citations), Molecular Biology (420 citations), Cell Biology (55 citations) and Aging (4 citations). Phil Chen has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Martin F. Lavin, Magtouf Gatei, Padmini S. Kedar, Kevin J. Spring, Jonas Björkman, Dianne Watters, Geoffrey W. Birrell, Denis I. Crane, Hiroshi Tauchi and Luciana Chessa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Transgenic Research, Molecular and Cellular Biology, Oncogene and Journal of Biological Chemistry.
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.