Hwan‐Woo Park
Impact in
- Geriatrics and Gerontology top 5%
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 9
- Epidemiology 19
- Autophagy in Disease and Therapy 11
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Jun Hee Lee (13 shared papers)Ian Semple (9 shared papers)Haeli Park (7 shared papers)Insook Jang (6 shared papers)Seung‐Hyun Ro (7 shared papers)Myungjin Kim (6 shared papers)Jeong Sig Kim (6 shared papers)Mi‐Sook Chang (10 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Autophagy (3 papers)Experimental & Molecular Medicine (3 papers)Nature Communications (2 papers)Biomaterials (2 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Hwan‐Woo Park
53 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 98
- Geriatrics and Gerontology 109
- Physiology 104
- Cell Biology 357
- Epidemiology 605
- Developmental Neuroscience 70
Countries citing papers authored by Hwan‐Woo Park
This map shows the geographic impact of Hwan‐Woo 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 Hwan‐Woo Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwan‐Woo Park more than expected).
Fields of papers citing papers by Hwan‐Woo Park
This network shows the impact of papers produced by Hwan‐Woo 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 Hwan‐Woo Park. The network helps show where Hwan‐Woo Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Hwan‐Woo 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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 246 | |
| 2 | 2014 | 155 | |
| 3 | 2014 | 148 | |
| 4 | 2015 | 144 | |
| 5 | 2014 | 101 | |
| 6 | 2010 | 94 | |
| 7 | 2017 | 92 | |
| 8 | 2020 | 82 | |
| 9 | 2016 | 74 | |
| 10 | 2014 | 74 | |
| 11 | 2017 | 67 | |
| 12 | 2022 | 63 | |
| 13 | 2014 | 62 | |
| 14 | 2020 | 46 | |
| 15 | 2013 | 43 | |
| 16 | 2009 | 40 | |
| 17 | 2012 | 36 | |
| 18 | 2013 | 35 | |
| 19 | 2015 | 32 | |
| 20 | 2019 | 31 |
About Hwan‐Woo Park
Hwan‐Woo Park is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Genetics and Pathology and Forensic Medicine, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Mesenchymal stem cell research (7 papers), Cannabis and Cannabinoid Research (6 papers), Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Geriatrics and Gerontology (109 citations), Physiology (104 citations), Cell Biology (357 citations), Epidemiology (605 citations) and Developmental Neuroscience (70 citations). Hwan‐Woo Park has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jun Hee Lee, Ian Semple, Haeli Park, Insook Jang, Seung‐Hyun Ro, Myungjin Kim, Jeong Sig Kim, Mi‐Sook Chang, Jongdae Shin and Allison Ho. Their work appears in journals such as International Journal of Molecular Sciences, Autophagy, Experimental & Molecular Medicine, Nature Communications and Biomaterials.
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.