Jun-Ha Hwang
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Rehabilitation top 10%
- Exercise and Physiological Responses
Papers in
- Cell Biology 10
- Hippo pathway signaling and YAP/TAZ 7
- Cellular Mechanics and Interactions 5
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- Ubiquitin and proteasome pathways 2
- Natural product bioactivities and synthesis 1
- Muscle Physiology and Disorders 1
- Co-authors
- Jeong‐Ho Hong (13 shared papers)Eun Sook Hwang (11 shared papers)A Rum Kim (7 shared papers)Kyung Min Kim (7 shared papers)Mi Ran Byun (9 shared papers)Yoon Jung Choi (1 shared paper)Joong Yull Park (1 shared paper)Ho Taek Oh (6 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)European Journal of Pharmacology (2 papers)PLoS ONE (1 paper)Macromolecular Bioscience (1 paper)Acta Biomaterialia (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jun-Ha Hwang
13 papers receiving 508 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 191
- Rehabilitation 31
- Genetics 40
- Biotechnology 34
- Biomedical Engineering 144
Countries citing papers authored by Jun-Ha Hwang
This map shows the geographic impact of Jun-Ha 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 Jun-Ha Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Ha Hwang more than expected).
Fields of papers citing papers by Jun-Ha Hwang
This network shows the impact of papers produced by Jun-Ha 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 Jun-Ha Hwang. The network helps show where Jun-Ha Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Ha 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 | 177 | |
| 2 | 2012 | 57 | |
| 3 | 2019 | 42 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 32 | |
| 6 | 2018 | 28 | |
| 7 | 2017 | 26 | |
| 8 | 2017 | 26 | |
| 9 | 2013 | 26 | |
| 10 | 2009 | 21 | |
| 11 | 2017 | 19 | |
| 12 | 2012 | 16 | |
| 13 | 2020 | 3 |
About Jun-Ha Hwang
Jun-Ha Hwang is a scholar working on Cell Biology, Molecular Biology, Surgery, Biomaterials and Physiology, having authored 13 papers that have together received 513 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (7 papers), Cellular Mechanics and Interactions (5 papers), Ubiquitin and proteasome pathways (2 papers), Allergic Rhinitis and Sensitization (1 paper), Adipose Tissue and Metabolism (1 paper), Silk-based biomaterials and applications (1 paper), Natural product bioactivities and synthesis (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Cell Biology (191 citations), Rehabilitation (31 citations), Genetics (40 citations), Biotechnology (34 citations) and Biomedical Engineering (144 citations). Jun-Ha Hwang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jeong‐Ho Hong, Eun Sook Hwang, A Rum Kim, Kyung Min Kim, Mi Ran Byun, Yoon Jung Choi, Joong Yull Park, Ho Taek Oh, Mi‐Kyung Sung and Buyng Su Hwang. Their work appears in journals such as Biochemical and Biophysical Research Communications, European Journal of Pharmacology, PLoS ONE, Macromolecular Bioscience and Acta Biomaterialia.
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.