Heejun Hwang
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
-
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Jing Huang (3 shared papers)Fulai Jin (2 shared papers)Robert H. Schiestl (1 shared paper)William H. McBride (1 shared paper)Joseph A. Loo (1 shared paper)Brett Lomenick (1 shared paper)David R. Spring (1 shared paper)Michael Snyder (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Photochemistry and Photobiology B Biology (1 paper)Cell Metabolism (1 paper)Clinical and Experimental Otorhinolaryngology (1 paper)Nature (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Heejun Hwang
12 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Aging 163
- Cancer Research 151
- Molecular Biology 588
- Genetics 72
- Computational Theory and Mathematics 101
Countries citing papers authored by Heejun Hwang
This map shows the geographic impact of Heejun Hwang'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 Heejun Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heejun Hwang more than expected).
Fields of papers citing papers by Heejun Hwang
This network shows the impact of papers produced by Heejun Hwang. 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 Heejun Hwang. The network helps show where Heejun Hwang may publish in the future.
Co-authors
The 24 scholars most cited alongside Heejun Hwang, 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 | 524 | |
| 2 | 2014 | 294 | |
| 3 | 2004 | 198 | |
| 4 | 2015 | 196 | |
| 5 | 2005 | 128 | |
| 6 | 2013 | 30 | |
| 7 | 2009 | 26 | |
| 8 | 2009 | 23 | |
| 9 | 2003 | 13 | |
| 10 | 2015 | 9 | |
| 11 | 2015 | 1 | |
| 12 | 2015 | 1 |
About Heejun Hwang
Heejun Hwang is a scholar working on Aging, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Sensory Systems and Urology, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Photodynamic Therapy Research Studies (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Neurobiology and Insect Physiology Research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Comparative Animal Anatomy Studies (1 paper), Fungal and yeast genetics research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Aging (163 citations), Cancer Research (151 citations), Molecular Biology (588 citations), Genetics (72 citations) and Computational Theory and Mathematics (101 citations). Heejun Hwang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jing Huang, Fulai Jin, Robert H. Schiestl, William H. McBride, Joseph A. Loo, Brett Lomenick, David R. Spring, Michael Snyder, Stuart L. Schreiber and Stephen J. Haggarty. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Photochemistry and Photobiology B Biology, Cell Metabolism, Clinical and Experimental Otorhinolaryngology and Nature.
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.