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
- Neurogenetic and Muscular Disorders Research 1
- Co-authors
- Aravind Asokan (6 shared papers)Katherine E. Simon (3 shared papers)Zachary C. Elmore (2 shared papers)L. Patrick Havlik (4 shared papers)Garth Devlin (2 shared papers)Heather A. Vincent (1 shared paper)Leif Anderson (1 shared paper)George G. Daaboul (1 shared paper)
- Journals
- Journal of Virology (2 papers)Nature Communications (2 papers)Journal of Biomolecular NMR (1 paper)Nature Protocols (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- United StatesGermanyPhilippines
In The Last Decade
Daniel K. Oh
10 papers receiving 371 citations
Peers
Comparison fields: 5 of 43
- Genetics 218
- Molecular Biology 265
- Cancer Research 43
- Cardiology and Cardiovascular Medicine 52
- Infectious Diseases 41
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 | 105 | |
| 2 | 2021 | 53 | |
| 3 | 2022 | 49 | |
| 4 | 2020 | 46 | |
| 5 | 2023 | 31 | |
| 6 | 2019 | 28 | |
| 7 | 2023 | 21 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 15 | |
| 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 377 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer Mechanisms and Therapy (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Genetics (218 citations), Molecular Biology (265 citations), Cancer Research (43 citations), Cardiology and Cardiovascular Medicine (52 citations) and Infectious Diseases (41 citations). Daniel K. Oh has collaborated with scholars based in United States, Germany and Philippines. Frequent co-authors include Aravind Asokan, Katherine E. Simon, Zachary C. Elmore, L. Patrick Havlik, Garth Devlin, Heather A. Vincent, Leif Anderson, George G. Daaboul, Mavis Agbandje‐McKenna and Vishal N. Kopardé. Their work appears in journals such as Journal of Virology, Nature Communications, Journal of Biomolecular NMR, Nature Protocols and Frontiers in Microbiology.
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.