Daniel K. Oh
Impact in
- Genetics top 10%
- Virus-based gene therapy research
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- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Viral Infectious Diseases and Gene Expression in Insects
- Circular RNAs in diseases
Papers in
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- CRISPR and Genetic Engineering 4
- Viral Infectious Diseases and Gene Expression in Insects 2
- Circular RNAs in diseases 2
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Aravind Asokan (6 shared papers)Zachary C. Elmore (2 shared papers)Katherine E. Simon (3 shared papers)L. Patrick Havlik (4 shared papers)Garth Devlin (2 shared papers)Leif Anderson (1 shared paper)George G. Daaboul (1 shared paper)Heather A. Vincent (1 shared paper)
- Journals
- Nature Communications (2 papers)Journal of Virology (2 papers)Journal of Biomolecular NMR (1 paper)Cell chemical biology (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesGermanyPhilippines
In The Last Decade
Daniel K. Oh
10 papers receiving 355 citations
Peers
Comparison fields: 5 of 43
- Genetics 217
- Molecular Biology 264
- Cancer Research 43
- Cardiology and Cardiovascular Medicine 54
- Animal Science and Zoology 24
Countries citing papers authored by Daniel K. Oh
This map shows the geographic impact of Daniel K. 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 Daniel K. Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Oh more than expected).
Fields of papers citing papers by Daniel K. Oh
This network shows the impact of papers produced by Daniel K. 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 Daniel K. Oh. The network helps show where Daniel K. Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel K. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 101 | |
| 2 | 2021 | 53 | |
| 3 | 2020 | 46 | |
| 4 | 2022 | 44 | |
| 5 | 2019 | 28 | |
| 6 | 2023 | 27 | |
| 7 | 2023 | 19 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 8 |
About Daniel K. Oh
Daniel K. Oh is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Genetics, having authored 10 papers that have together received 359 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related molecular mechanisms research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Circular RNAs in diseases (2 papers), interferon and immune responses (1 paper), MicroRNA in disease regulation (1 paper) and Electron Spin Resonance Studies (1 paper). The work is most often cited by research in Genetics (217 citations), Molecular Biology (264 citations), Cancer Research (43 citations), Cardiology and Cardiovascular Medicine (54 citations) and Animal Science and Zoology (24 citations). Daniel K. Oh has collaborated with scholars based in United States, Germany and Philippines. Frequent co-authors include Aravind Asokan, Zachary C. Elmore, Katherine E. Simon, L. Patrick Havlik, Garth Devlin, Leif Anderson, George G. Daaboul, Heather A. Vincent, Mavis Agbandje‐McKenna and Mario Mietzsch. Their work appears in journals such as Nature Communications, Journal of Virology, Journal of Biomolecular NMR, Cell chemical biology and JCI Insight.
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.