Heejun Hwang
Impact in
-
- Fungal and yeast genetics research
- Advanced Biosensing Techniques and Applications
- PI3K/AKT/mTOR signaling in cancer
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
Papers in
-
- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
- Fungal and yeast genetics research 1
-
- Photodynamic Therapy Research Studies 3
- Co-authors
- Jing Huang (3 shared papers)Fulai Jin (2 shared papers)William H. McBride (1 shared paper)Robert H. Schiestl (1 shared paper)Joseph A. Loo (1 shared paper)Brett Lomenick (1 shared paper)David R. Spring (1 shared paper)M Snyder (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Photochemistry and Photobiology B Biology (1 paper)Cancer Biology & Therapy (1 paper)Clinical and Experimental Otorhinolaryngology (1 paper)General Physiology and Biophysics (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Heejun Hwang
8 papers receiving 655 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 441
- Aging 10
- Cell Biology 56
- Pharmacology 49
- Sensory Systems 13
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 | 271 | |
| 2 | 2004 | 181 | |
| 3 | 2005 | 120 | |
| 4 | 2013 | 30 | |
| 5 | 2009 | 26 | |
| 6 | 2009 | 23 | |
| 7 | 2003 | 12 | |
| 8 | 2015 | 6 | |
| 9 | 2015 | 0 |
About Heejun Hwang
Heejun Hwang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Biochemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 669 indexed citations. Recurring topics across this work include Photodynamic Therapy Research Studies (3 papers), Ubiquitin and proteasome pathways (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Porphyrin and Phthalocyanine Chemistry (1 paper), Protein Degradation and Inhibitors (1 paper), Spider Taxonomy and Behavior Studies (1 paper), Fungal and yeast genetics research (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Molecular Biology (441 citations), Aging (10 citations), Cell Biology (56 citations), Pharmacology (49 citations) and Sensory Systems (13 citations). Heejun Hwang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jing Huang, Fulai Jin, William H. McBride, Robert H. Schiestl, Joseph A. Loo, Brett Lomenick, David R. Spring, M Snyder, Stephen J. Haggarty and Stuart L. Schreiber. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Photochemistry and Photobiology B Biology, Cancer Biology & Therapy, Clinical and Experimental Otorhinolaryngology and General Physiology and Biophysics.
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.