Soohwan Oh
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 13
- RNA Research and Splicing 10
- Protein Degradation and Inhibitors 4
- Epigenetics and DNA Methylation 4
- RNA Interference and Gene Delivery 4
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- Autophagy in Disease and Therapy 6
- Co-authors
- Michael G. Rosenfeld (13 shared papers)Qi Ma (8 shared papers)Kenneth A. Ohgi (7 shared papers)Wenbo Li (6 shared papers)Daria Merkurjev (5 shared papers)Xiaoyuan Song (3 shared papers)Jie Zhang (2 shared papers)Dimple Notani (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Autophagy (2 papers)BMB Reports (2 papers)Nature (2 papers)Molecular Cell (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Soohwan Oh
36 papers receiving 2.1k citations
Soohwan Oh's Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 531
- Molecular Biology 1.6k
- Immunology 249
- Epidemiology 282
- Physiology 36
Countries citing papers authored by Soohwan Oh
This map shows the geographic impact of Soohwan Oh'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 Soohwan Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soohwan Oh more than expected).
Fields of papers citing papers by Soohwan Oh
This network shows the impact of papers produced by Soohwan Oh. 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 Soohwan Oh. The network helps show where Soohwan Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Soohwan Oh, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Functional roles of enhancer RNAs for oestrogen-dependent transcriptional activation Hit paper breakdown → | 2013 | 755 |
| 2 | 2019 | 238 | |
| 3 | 2014 | 153 | |
| 4 | 2015 | 134 | |
| 5 | 2015 | 119 | |
| 6 | 2021 | 85 | |
| 7 | 2015 | 85 | |
| 8 | 2012 | 79 | |
| 9 | 2009 | 72 | |
| 10 | 2015 | 71 | |
| 11 | 2014 | 57 | |
| 12 | 2010 | 52 | |
| 13 | 2014 | 30 | |
| 14 | 2011 | 28 | |
| 15 | 2020 | 26 | |
| 16 | 2020 | 24 | |
| 17 | 2022 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2009 | 13 | |
| 20 | 2024 | 12 |
About Soohwan Oh
Soohwan Oh is a scholar working on Molecular Biology, Epidemiology, Immunology, Genetics and Oncology, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA Research and Splicing (10 papers), Autophagy in Disease and Therapy (6 papers), Protein Degradation and Inhibitors (4 papers), Epigenetics and DNA Methylation (4 papers), Immune Cell Function and Interaction (4 papers), RNA Interference and Gene Delivery (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Cancer Research (531 citations), Molecular Biology (1.6k citations), Immunology (249 citations), Epidemiology (282 citations) and Physiology (36 citations). Soohwan Oh has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Michael G. Rosenfeld, Qi Ma, Kenneth A. Ohgi, Wenbo Li, Daria Merkurjev, Xiaoyuan Song, Jie Zhang, Dimple Notani, Bogdan Tanasă and Aaron Yun Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Autophagy, BMB Reports, Nature and Molecular Cell.
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.