Sun-Ha Park
Impact in
- Pollution top 10%
- Microbial bioremediation and biosurfactants
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 4
- Ubiquitin and proteasome pathways 3
-
- Pharmacogenetics and Drug Metabolism 5
- Co-authors
- Jun Hyuck Lee (12 shared papers)Hak Kim (1 shared paper)Bonwon Koo (1 shared paper)Chul‐Ho Yun (3 shared papers)Taeho Ahn (3 shared papers)Doo‐Il Kim (2 shared papers)Keonhee Kim (2 shared papers)Heung-Chae Jung (2 shared papers)
- Journals
- PLoS ONE (4 papers)Biochemical and Biophysical Research Communications (1 paper)Marine Drugs (1 paper)Advanced Science (1 paper)The FASEB Journal (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Sun-Ha Park
25 papers receiving 663 citations
Peers
Comparison fields: 5 of 107
- Pollution 97
- Pharmacology 62
- Biotechnology 54
- Molecular Biology 329
- Ecology 92
Countries citing papers authored by Sun-Ha Park
This map shows the geographic impact of Sun-Ha 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 Sun-Ha Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun-Ha Park more than expected).
Fields of papers citing papers by Sun-Ha Park
This network shows the impact of papers produced by Sun-Ha 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 Sun-Ha Park. The network helps show where Sun-Ha Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun-Ha 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 222 | |
| 2 | 2017 | 147 | |
| 3 | 2019 | 40 | |
| 4 | 2010 | 39 | |
| 5 | 2017 | 30 | |
| 6 | 2021 | 26 | |
| 7 | 2018 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2021 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2018 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2016 | 7 | |
| 17 | 2019 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2017 | 4 |
About Sun-Ha Park
Sun-Ha Park is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Biotechnology and Computational Theory and Mathematics, having authored 25 papers that have together received 668 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Computational Drug Discovery Methods (4 papers), Enzyme Structure and Function (4 papers), Enzyme Production and Characterization (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Ubiquitin and proteasome pathways (3 papers) and Biofuel production and bioconversion (3 papers). The work is most often cited by research in Pollution (97 citations), Pharmacology (62 citations), Biotechnology (54 citations), Molecular Biology (329 citations) and Ecology (92 citations). Sun-Ha Park has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jun Hyuck Lee, Hak Kim, Bonwon Koo, Chul‐Ho Yun, Taeho Ahn, Doo‐Il Kim, Keonhee Kim, Heung-Chae Jung, Jae‐Gu Pan and Dong‐Hyun Kim. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, Marine Drugs, Advanced Science and The FASEB Journal.
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.