Sangbin Park
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Neurobiology and Insect Physiology Research
Papers in
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- Developmental Biology and Gene Regulation 7
- TGF-β signaling in diseases 3
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- ZnO doping and properties 6
- Co-authors
- Seung K. Kim (7 shared papers)Kavita Arora (3 shared papers)Minh Quang Nguyen (2 shared papers)Daniel F. Woods (1 shared paper)Peter J. Bryant (1 shared paper)Colleen D. Hough (1 shared paper)Ronald W. Alfa (2 shared papers)Lutz Kockel (2 shared papers)
- Journals
- Nanomaterials (3 papers)Nature Communications (2 papers)Development (2 papers)PLoS Genetics (2 papers)Genetics (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Sangbin Park
20 papers receiving 895 citations
Peers
Comparison fields: 5 of 88
- Aging 102
- Cellular and Molecular Neuroscience 259
- Cell Biology 155
- Molecular Biology 407
- Immunology 118
Countries citing papers authored by Sangbin Park
This map shows the geographic impact of Sangbin 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 Sangbin Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangbin Park more than expected).
Fields of papers citing papers by Sangbin Park
This network shows the impact of papers produced by Sangbin 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 Sangbin Park. The network helps show where Sangbin Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Sangbin 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 130 | |
| 2 | 1997 | 126 | |
| 3 | 1998 | 105 | |
| 4 | 2015 | 104 | |
| 5 | 2000 | 60 | |
| 6 | 2017 | 47 | |
| 7 | 2022 | 45 | |
| 8 | 2008 | 39 | |
| 9 | 2018 | 37 | |
| 10 | 2016 | 34 | |
| 11 | 2023 | 33 | |
| 12 | 2001 | 33 | |
| 13 | 2014 | 31 | |
| 14 | 2022 | 23 | |
| 15 | 2011 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 3 |
About Sangbin Park
Sangbin Park is a scholar working on Molecular Biology, Materials Chemistry, Renewable Energy, Sustainability and the Environment, Cellular and Molecular Neuroscience and Electronic, Optical and Magnetic Materials, having authored 21 papers that have together received 904 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), ZnO doping and properties (6 papers), Advanced Photocatalysis Techniques (5 papers), Neurobiology and Insect Physiology Research (5 papers), Ga2O3 and related materials (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), TGF-β signaling in diseases (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Aging (102 citations), Cellular and Molecular Neuroscience (259 citations), Cell Biology (155 citations), Molecular Biology (407 citations) and Immunology (118 citations). Sangbin Park has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Seung K. Kim, Kavita Arora, Minh Quang Nguyen, Daniel F. Woods, Peter J. Bryant, Colleen D. Hough, Ronald W. Alfa, Lutz Kockel, Guillermo Marqués and Rahul Warrior. Their work appears in journals such as Nanomaterials, Nature Communications, Development, PLoS Genetics and Genetics.
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.