Peter K. Park
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circadian rhythm and melatonin
Papers in
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- RNA modifications and cancer 3
- RNA Research and Splicing 3
- PI3K/AKT/mTOR signaling in cancer 2
- Surgery 5
- Shoulder Injury and Treatment 2
- Co-authors
- Chunru Lin (6 shared papers)Liuqing Yang (5 shared papers)Zhen Xing (3 shared papers)David H. Hawke (4 shared papers)Chunlai Li (4 shared papers)Shouyu Wang (3 shared papers)Mien‐Chie Hung (3 shared papers)Ke Liang (3 shared papers)
- Journals
- Pain Medicine (2 papers)Nature Cell Biology (1 paper)Medical dosimetry (1 paper)Cell Research (1 paper)Journal of Pain (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Peter K. Park
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 659
- Endocrine and Autonomic Systems 120
- Aging 31
- Molecular Biology 850
- Cell Biology 78
Countries citing papers authored by Peter K. Park
This map shows the geographic impact of Peter K. Park'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 Peter K. Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter K. Park more than expected).
Fields of papers citing papers by Peter K. Park
This network shows the impact of papers produced by Peter K. Park. 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 Peter K. Park. The network helps show where Peter K. Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter K. Park, 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 | 2014 | 346 | |
| 2 | 2017 | 246 | |
| 3 | 2018 | 197 | |
| 4 | 2017 | 181 | |
| 5 | 2015 | 61 | |
| 6 | 2019 | 39 | |
| 7 | 2023 | 12 | |
| 8 | Sanskrit and 'orientalism' : indology and comparative linguistics in Germany, 1750-1958 | 2004 | 10 |
| 9 | 2024 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2018 | 5 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Peter K. Park
Peter K. Park is a scholar working on Molecular Biology, Surgery, Cancer Research, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Shoulder Injury and Treatment (2 papers), Liver Disease and Transplantation (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Cancer Research (659 citations), Endocrine and Autonomic Systems (120 citations), Aging (31 citations), Molecular Biology (850 citations) and Cell Biology (78 citations). Peter K. Park has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Chunru Lin, Liuqing Yang, Zhen Xing, David H. Hawke, Chunlai Li, Shouyu Wang, Mien‐Chie Hung, Ke Liang, Aifu Lin and Leng Han. Their work appears in journals such as Pain Medicine, Nature Cell Biology, Medical dosimetry, Cell Research and Journal of Pain.
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.