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
-
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- PI3K/AKT/mTOR signaling in cancer 2
- Epigenetics and DNA Methylation 1
- Surgery 4
- 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)Nuclear Medicine Communications (1 paper)Cell Research (1 paper)Cell Reports (1 paper)Medical dosimetry (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Peter K. Park
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Cancer Research 597
- Endocrine and Autonomic Systems 122
- Aging 30
- Molecular Biology 734
- Cell Biology 77
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 | 347 | |
| 2 | 2017 | 251 | |
| 3 | 2018 | 203 | |
| 4 | 2017 | 184 | |
| 5 | 2015 | 61 | |
| 6 | 2019 | 39 | |
| 7 | 2023 | 14 | |
| 8 | Sanskrit and 'orientalism' : indology and comparative linguistics in Germany, 1750-1958 | 2004 | 11 |
| 9 | 2022 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2018 | 6 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Peter K. Park
Peter K. Park is a scholar working on Molecular Biology, Surgery, Cancer Research, Radiology, Nuclear Medicine and Imaging and Endocrine and Autonomic Systems, having authored 14 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), Hippo pathway signaling and YAP/TAZ (1 paper), Circadian rhythm and melatonin (1 paper), Advanced Radiotherapy Techniques (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (597 citations), Endocrine and Autonomic Systems (122 citations), Aging (30 citations), Molecular Biology (734 citations) and Cell Biology (77 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, Nuclear Medicine Communications, Cell Research, Cell Reports and Medical dosimetry.
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.