Sungman Park
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Epidemiology top 5%
- Autophagy in Disease and Therapy
Papers in
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- Cell death mechanisms and regulation 2
- PI3K/AKT/mTOR signaling in cancer 2
-
- Autophagy in Disease and Therapy 4
- Hepatitis B Virus Studies 2
- Co-authors
- Hong‐Gang Wang (4 shared papers)Yoshinori Takahashi (3 shared papers)Jong Woo Lee (1 shared paper)Richard Jove (2 shared papers)H. David Kay (1 shared paper)Guilian Niu (1 shared paper)James Turkson (1 shared paper)Hua Yu (1 shared paper)
- Journals
- Journal of Korean Medical Science (2 papers)Journal of Biological Chemistry (2 papers)Blood (1 paper)Molecular Oncology (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Sungman Park
17 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Cancer Research 287
- Epidemiology 593
- Physiology 76
- Geriatrics and Gerontology 62
- Oncology 365
Countries citing papers authored by Sungman Park
This map shows the geographic impact of Sungman 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 Sungman Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungman Park more than expected).
Fields of papers citing papers by Sungman Park
This network shows the impact of papers produced by Sungman 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 Sungman Park. The network helps show where Sungman Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungman 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 | Targeting Stat3 blocks both HIF-1 and VEGF expression induced by multiple oncogenic growth signaling pathways Hit paper breakdown → | 2005 | 489 |
| 2 | 2010 | 396 | |
| 3 | 2012 | 300 | |
| 4 | 2008 | 99 | |
| 5 | 2012 | 75 | |
| 6 | 2013 | 63 | |
| 7 | 2012 | 59 | |
| 8 | 2003 | 38 | |
| 9 | 2014 | 28 | |
| 10 | 2016 | 22 | |
| 11 | 2008 | 14 | |
| 12 | 2021 | 9 | |
| 13 | 2016 | 7 | |
| 14 | 2016 | 7 | |
| 15 | 2017 | 4 | |
| 16 | 2020 | 2 | |
| 17 | 2010 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2018 | 0 |
About Sungman Park
Sungman Park is a scholar working on Molecular Biology, Epidemiology, Oncology, Parasitology and Organic Chemistry, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Electromagnetic Fields and Biological Effects (2 papers), Cell death mechanisms and regulation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Cancer Research (287 citations), Epidemiology (593 citations), Physiology (76 citations), Geriatrics and Gerontology (62 citations) and Oncology (365 citations). Sungman Park has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Hong‐Gang Wang, Yoshinori Takahashi, Jong Woo Lee, Richard Jove, H. David Kay, Guilian Niu, James Turkson, Hua Yu, Marcin Kortylewski and Gregg L. Semenza. Their work appears in journals such as Journal of Korean Medical Science, Journal of Biological Chemistry, Blood, Molecular Oncology and Journal of Hepatology.
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.