Hee Won Yang
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Sensory Systems top 5%
- Ion Channels and Receptors
Papers in
-
- Epigenetics and DNA Methylation 3
- Cell Biology 12
- Microtubule and mitosis dynamics 10
- Cellular Mechanics and Interactions 4
- Co-authors
- Tobias Meyer (10 shared papers)Mingyu Chung (5 shared papers)Won Do Heo (6 shared papers)Sean R. Collins (3 shared papers)Feng‐Chiao Tsai (2 shared papers)Arnold Hayer (2 shared papers)Takamasa Kudo (1 shared paper)Kwang‐Hyun Cho (3 shared papers)
- Journals
- Nature Communications (5 papers)Nature Cell Biology (3 papers)Journal of Clinical Investigation (3 papers)Cell Reports (2 papers)eLife (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Hee Won Yang
36 papers receiving 1.9k citations
Hee Won Yang's Hit Papers
Peers
Comparison fields: 5 of 118
- Cell Biology 514
- Sensory Systems 82
- Immunology and Allergy 95
- Molecular Biology 1.0k
- Oncology 375
Countries citing papers authored by Hee Won Yang
This map shows the geographic impact of Hee Won Yang'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 Hee Won Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee Won Yang more than expected).
Fields of papers citing papers by Hee Won Yang
This network shows the impact of papers produced by Hee Won Yang. 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 Hee Won Yang. The network helps show where Hee Won Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hee Won Yang, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 203 | |
| 2 | 2016 | 201 | |
| 3 | 2016 | 192 | |
| 4 | 2017 | 164 | |
| 5 | 2012 | 145 | |
| 6 | 2015 | 132 | |
| 7 | 2014 | 117 | |
| 8 | 2021 | 82 | |
| 9 | 2019 | 66 | |
| 10 | 2012 | 61 | |
| 11 | 2020 | 58 | |
| 12 | 2022 | 57 | |
| 13 | 2009 | 55 | |
| 14 | 2019 | 53 | |
| 15 | 2010 | 48 | |
| 16 | 2020 | 34 | |
| 17 | 2023 | 30 | |
| 18 | 2015 | 29 | |
| 19 | 2021 | 28 | |
| 20 | 2023 | 27 |
About Hee Won Yang
Hee Won Yang is a scholar working on Molecular Biology, Cell Biology, Oncology, Pulmonary and Respiratory Medicine and Aerospace Engineering, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Cancer-related Molecular Pathways (9 papers), Advanced Breast Cancer Therapies (8 papers), Electromagnetic Launch and Propulsion Technology (5 papers), Cellular Mechanics and Interactions (4 papers), Epigenetics and DNA Methylation (3 papers), Combustion and Detonation Processes (3 papers) and Energetic Materials and Combustion (3 papers). The work is most often cited by research in Cell Biology (514 citations), Sensory Systems (82 citations), Immunology and Allergy (95 citations), Molecular Biology (1.0k citations) and Oncology (375 citations). Hee Won Yang has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Tobias Meyer, Mingyu Chung, Won Do Heo, Sean R. Collins, Feng‐Chiao Tsai, Arnold Hayer, Takamasa Kudo, Kwang‐Hyun Cho, Sangkyu Lee and Silvia Carrasco. Their work appears in journals such as Nature Communications, Nature Cell Biology, Journal of Clinical Investigation, Cell Reports and eLife.
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.