Sorah Yoon
Impact in
-
- Advanced Combustion Engine Technologies
- Computational Mechanics top 5%
- Combustion and flame dynamics
Papers in
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- Advanced biosensing and bioanalysis techniques 8
- RNA Interference and Gene Delivery 6
- Oncology 5
- Co-authors
- John J. Rossi (13 shared papers)Suk Ho Chung (3 shared papers)Nagy Habib (7 shared papers)Brian Armstrong (5 shared papers)Kai‐Wen Huang (5 shared papers)Piotr Swiderski (4 shared papers)Vikash Reebye (4 shared papers)Jae‐Young Song (5 shared papers)
- Journals
- Molecular Therapy — Nucleic Acids (3 papers)Combustion and Flame (2 papers)Molecular Therapy (2 papers)Haematologica (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Sorah Yoon
30 papers receiving 980 citations
Peers
Comparison fields: 5 of 97
- Fluid Flow and Transfer Processes 269
- Computational Mechanics 204
- Automotive Engineering 97
- Cancer Research 95
- Molecular Biology 442
Countries citing papers authored by Sorah Yoon
This map shows the geographic impact of Sorah Yoon'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 Sorah Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sorah Yoon more than expected).
Fields of papers citing papers by Sorah Yoon
This network shows the impact of papers produced by Sorah Yoon. 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 Sorah Yoon. The network helps show where Sorah Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Sorah Yoon, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 138 | |
| 2 | 2008 | 99 | |
| 3 | 2005 | 92 | |
| 4 | 2004 | 85 | |
| 5 | 2016 | 69 | |
| 6 | 2016 | 61 | |
| 7 | 2009 | 54 | |
| 8 | 2018 | 46 | |
| 9 | 2006 | 44 | |
| 10 | 2018 | 31 | |
| 11 | 2007 | 29 | |
| 12 | 2019 | 28 | |
| 13 | 2017 | 27 | |
| 14 | 2018 | 27 | |
| 15 | 2017 | 24 | |
| 16 | 2010 | 24 | |
| 17 | 1998 | 18 | |
| 18 | 2010 | 17 | |
| 19 | 2011 | 13 | |
| 20 | 2020 | 13 |
About Sorah Yoon
Sorah Yoon is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Automotive Engineering, having authored 30 papers that have together received 1000 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), RNA Interference and Gene Delivery (6 papers), Vehicle emissions and performance (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Advanced Combustion Engine Technologies (3 papers), Animal Virus Infections Studies (3 papers), Cancer Genomics and Diagnostics (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (269 citations), Computational Mechanics (204 citations), Automotive Engineering (97 citations), Cancer Research (95 citations) and Molecular Biology (442 citations). Sorah Yoon has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include John J. Rossi, Suk Ho Chung, Nagy Habib, Brian Armstrong, Kai‐Wen Huang, Piotr Swiderski, Vikash Reebye, Jae‐Young Song, Peter Dias and Xiwei Wu. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Combustion and Flame, Molecular Therapy, Haematologica and Bone Marrow Transplantation.
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.