Daniel K. Oh

490 total citations
10 papers, 359 citations indexed

About

Daniel K. Oh is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Daniel K. Oh has authored 10 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Oncology. Recurrent topics in Daniel K. Oh's work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Daniel K. Oh is often cited by papers focused on Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Daniel K. Oh collaborates with scholars based in United States, Philippines and Germany. Daniel K. Oh's co-authors include Aravind Asokan, Zachary C. Elmore, Katherine E. Simon, L. Patrick Havlik, Garth Devlin, George G. Daaboul, Heather A. Vincent, Leif Anderson, Mavis Agbandje‐McKenna and Mario Mietzsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Virology.

In The Last Decade

Daniel K. Oh

10 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel K. Oh United States	9	264	217	61	54	43	10	359
Katherine E. Simon United States	7	199 0.8×	161 0.7×	40 0.7×	44 0.8×	37 0.9×	10	295
Camilo Breton United States	10	360 1.4×	255 1.2×	57 0.9×	56 1.0×	10 0.2×	13	464
Guo-jie Ye United States	5	257 1.0×	251 1.2×	88 1.4×	40 0.7×	32 0.7×	9	362
Axel Rossi Germany	8	246 0.9×	204 0.9×	34 0.6×	44 0.8×	12 0.3×	13	307
Alice Toromanoff France	5	312 1.2×	293 1.4×	58 1.0×	53 1.0×	6 0.1×	6	407
Christine Le Bec France	10	307 1.2×	126 0.6×	36 0.6×	39 0.7×	21 0.5×	12	369
Nadja Meumann Germany	8	203 0.8×	166 0.8×	48 0.8×	22 0.4×	13 0.3×	8	275
Zachary C. Elmore United States	11	247 0.9×	185 0.9×	54 0.9×	47 0.9×	5 0.1×	18	325
John White United States	6	576 2.2×	308 1.4×	48 0.8×	54 1.0×	13 0.3×	9	659

Countries citing papers authored by Daniel K. Oh

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel K. Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Oh. A scholar is included among the top collaborators of Daniel K. Oh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel K. Oh. Daniel K. Oh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Tagawa, Takanobu, Daniel K. Oh, Guruswamy Mahesh, et al.. (2023). A virus-induced circular RNA maintains latent infection of Kaposi’s sarcoma herpesvirus. Proceedings of the National Academy of Sciences. 120(6). e2212864120–e2212864120. 27 indexed citations

Hull, Joshua A., Daniel K. Oh, Sven Møller-Tank, et al.. (2023). Structure-guided AAV capsid evolution strategies for enhanced CNS gene delivery. Nature Protocols. 18(11). 3413–3459. 19 indexed citations

Simon, Katherine E., Garth Devlin, Timothy J. Smith, et al.. (2022). Cross-species evolution of a highly potent AAV variant for therapeutic gene transfer and genome editing. Nature Communications. 13(1). 5947–5947. 44 indexed citations

Havlik, L. Patrick, Anshuman Das, Mario Mietzsch, et al.. (2021). Receptor Switching in Newly Evolved Adeno-associated Viruses. Journal of Virology. 95(19). e0058721–e0058721. 14 indexed citations

Elmore, Zachary C., L. Patrick Havlik, Daniel K. Oh, et al.. (2021). The membrane associated accessory protein is an adeno-associated viral egress factor. Nature Communications. 12(1). 6239–6239. 53 indexed citations

Tagawa, Takanobu, Daniel K. Oh, Jerico R. Santos, et al.. (2021). Characterizing Expression and Regulation of Gamma-Herpesviral Circular RNAs. Frontiers in Microbiology. 12. 670542–670542. 19 indexed citations

LeBlanc, Regan M., et al.. (2020). Deleterious effects of carbon–carbon dipolar coupling on RNA NMR dynamics. Journal of Biomolecular NMR. 74(6-7). 321–331. 8 indexed citations

Elmore, Zachary C., et al.. (2020). Rescuing AAV gene transfer from neutralizing antibodies with an IgG-degrading enzyme. JCI Insight. 5(19). 101 indexed citations

Havlik, L. Patrick, Katherine E. Simon, J. Kennon Smith, et al.. (2020). Coevolution of Adeno-associated Virus Capsid Antigenicity and Tropism through a Structure-Guided Approach. Journal of Virology. 94(19). 46 indexed citations

10.

Krumpe, Lauren R. H., William F. Heinz, Daniel K. Oh, et al.. (2019). The Natural Product Butylcycloheptyl Prodiginine Binds Pre-miR-21, Inhibits Dicer-Mediated Processing of Pre-miR-21, and Blocks Cellular Proliferation. Cell chemical biology. 26(8). 1133–1142.e4. 28 indexed citations

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.

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