Jisoo Park
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- Computational Drug Discovery Methods 3
- Health Informatics top 10%
- Human-Computer Interaction top 10%
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- Bioinformatics and Genomic Networks 5
- Biomedical Text Mining and Ontologies 2
- Biophysics top 10%
- Cell Image Analysis Techniques 2
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- Psychosocial Factors Impacting Youth 2
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- Diverse Approaches in Healthcare and Education Studies 2
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- Aquaculture disease management and microbiota 1
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- Carbohydrate Chemistry and Synthesis 1
- Co-authors
- Trey IdekerSamson FongJason F. KreisbergBrent M. KuenziJohn J. Y. LeeKyle S. SanchezJianzhu MaBenjamin Hescott
- Journals
- SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jisoo Park
17 papers receiving 578 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computational Theory and Mathematics 191
- Health Informatics 16
- Human-Computer Interaction 53
- Molecular Biology 357
- Biophysics 28
Countries citing papers authored by Jisoo Park
This map shows the geographic impact of Jisoo 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 Jisoo Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jisoo Park more than expected).
Fields of papers citing papers by Jisoo Park
This network shows the impact of papers produced by Jisoo 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 Jisoo Park. The network helps show where Jisoo Park may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jisoo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 14 | |
| 4 | 2021 | 11 | |
| 5 | Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cellsbreakdown → | 2020 | 285 |
| 6 | 2020 | 2 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 3 | |
| 9 | 2017 | 11 | |
| 10 | 2017 | 4 | |
| 11 | 2015 | 6 | |
| 12 | 2014 | 9 | |
| 13 | 2014 | 84 | |
| 14 | 2013 | 73 | |
| 15 | 2013 | 11 | |
| 16 | 2002 | 2 | |
| 17 | 2002 | 68 |
About Jisoo Park
Jisoo Park is a scholar working on Biophysics, Computational Theory and Mathematics and Anesthesiology and Pain Medicine, having authored 17 papers that have together received 599 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (3 papers), Biomedical Text Mining and Ontologies (2 papers), Psychosocial Factors Impacting Youth (2 papers), Diverse Approaches in Healthcare and Education Studies (2 papers), Cell Image Analysis Techniques (2 papers), Aquaculture disease management and microbiota (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (191 citations), Health Informatics (16 citations) and Human-Computer Interaction (53 citations). Jisoo Park has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Trey Ideker, Samson Fong, Jason F. Kreisberg, Brent M. Kuenzi, John J. Y. Lee, Kyle S. Sanchez, Jianzhu Ma, Benjamin Hescott, Mark Blythe and Andrew Monk. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.