Julia Oh

10.9k total citations · 4 hit papers
93 papers, 7.0k citations indexed

About

Julia Oh is a scholar working on Molecular Biology, Cancer Research and Dermatology. According to data from OpenAlex, Julia Oh has authored 93 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Cancer Research and 21 papers in Dermatology. Recurrent topics in Julia Oh's work include Breast Cancer Treatment Studies (31 papers), Breast Lesions and Carcinomas (20 papers) and Dermatology and Skin Diseases (19 papers). Julia Oh is often cited by papers focused on Breast Cancer Treatment Studies (31 papers), Breast Lesions and Carcinomas (20 papers) and Dermatology and Skin Diseases (19 papers). Julia Oh collaborates with scholars based in United States, Canada and Germany. Julia Oh's co-authors include Heidi H. Kong, Julia A. Segre, Sean Conlan, Allyson L. Byrd, Morgan Park, Clay Deming, Effie Nomicos, Eric C. Polley, Thomas A. Buchholz and Eric A. Strom and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Julia Oh

86 papers receiving 6.8k citations

Hit Papers

Temporal shifts in the sk... 2012 2026 2016 2021 2012 2013 2014 2016 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Julia Oh 2.7k 2.2k 1.1k 977 907 93 7.0k
Maria L. Turner 4.6k 1.7× 4.8k 2.2× 2.2k 2.1× 647 0.7× 979 1.1× 126 14.1k
Wilson Liao 2.2k 0.8× 2.1k 0.9× 567 0.5× 237 0.2× 379 0.4× 193 6.8k
Miriam F. Moffatt 1.2k 0.4× 5.1k 2.3× 1.8k 1.6× 398 0.4× 1.4k 1.5× 148 13.8k
Jürgen Harder 1.9k 0.7× 3.9k 1.7× 867 0.8× 248 0.3× 631 0.7× 125 10.1k
Annamari Ranki 3.3k 1.2× 1.3k 0.6× 2.2k 2.0× 260 0.3× 339 0.4× 226 8.8k
David A. Hill 611 0.2× 2.3k 1.1× 630 0.6× 195 0.2× 1.1k 1.2× 131 6.8k
Heidi H. Kong 6.7k 2.5× 4.2k 1.9× 2.1k 2.0× 157 0.2× 2.3k 2.5× 84 13.1k
Donata Vercelli 762 0.3× 1.5k 0.7× 772 0.7× 259 0.3× 1.8k 2.0× 168 9.6k
David B. Corry 568 0.2× 2.1k 1.0× 1.2k 1.1× 888 0.9× 2.2k 2.5× 166 12.8k
Larry Borish 1.2k 0.5× 1.1k 0.5× 885 0.8× 239 0.2× 3.7k 4.1× 238 12.4k

Countries citing papers authored by Julia Oh

Since Specialization
Citations

This map shows the geographic impact of Julia 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 Julia Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Oh more than expected).

Fields of papers citing papers by Julia Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia 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 Julia Oh. The network helps show where Julia Oh may publish in the future.

Co-authorship network of co-authors of Julia Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Oh. A scholar is included among the top collaborators of Julia 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 Julia Oh. Julia Oh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Zhou, Wei, et al.. (2025). Genotype-Environment-Driven Dysbiosis in the Skin Microbiome of Ichthyosis. Journal of Investigative Dermatology. 146(2). 470–482.e5. 1 indexed citations
3.
Xiong, Ruoyun, Elizabeth Fleming, Suzanne D. Vernon, et al.. (2025). AI-driven multi-omics modeling of myalgic encephalomyelitis/chronic fatigue syndrome. Nature Medicine. 31(9). 2991–3001.
4.
Xiao, Shaoming, et al.. (2024). Association of Neonatal and Maternal Nasal Microbiome Among Neonates in the Intensive Care Unit. Open Forum Infectious Diseases. 11(11). ofae644–ofae644. 1 indexed citations
5.
Yeo, Miji, Ruoyun Xiong, Phylip Chen, et al.. (2023). High-throughput bioprinting of the nasal epithelium using patient-derived nasal epithelial cells. Biofabrication. 15(4). 44103–44103. 14 indexed citations
6.
Voigt, Anita Y., et al.. (2023). Microbiome modulates immunotherapy response in cutaneous squamous cell carcinoma. Experimental Dermatology. 32(10). 1624–1632. 7 indexed citations
7.
Zhou, Wei, et al.. (2023). Skin microbiome attributes associate with biophysical skin ageing. Experimental Dermatology. 32(9). 1546–1556. 16 indexed citations
8.
Guan, Changhui, Peter J. Larson, Elizabeth Fleming, et al.. (2022). Engineering a “detect and destroy” skin probiotic to combat methicillin-resistant Staphylococcus aureus. PLoS ONE. 17(12). e0276795–e0276795. 12 indexed citations
9.
Voigt, Anita Y., Akintunde Emiola, Jethro S. Johnson, et al.. (2022). Skin Microbiome Variation with Cancer Progression in Human Cutaneous Squamous Cell Carcinoma. Journal of Investigative Dermatology. 142(10). 2773–2782.e16. 32 indexed citations
10.
Behsaz, Bahar, Edna Bode, Alexey Gurevich, et al.. (2021). Publisher Correction: Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery. Nature Communications. 12(1). 4318–4318.
11.
Kong, Heidi H. & Julia Oh. (2021). State of Residency: Microbial Strain Diversity in the Skin. Journal of Investigative Dermatology. 142(5). 1260–1264. 10 indexed citations
12.
Behsaz, Bahar, Edna Bode, Alexey Gurevich, et al.. (2021). Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery. Nature Communications. 12(1). 3225–3225. 49 indexed citations
13.
Bose, Jeffrey L., Trudy H. Grossman, Alaina Kaiser, et al.. (2020). Controlling the Growth of the Skin Commensal Staphylococcus epidermidis Using d -Alanine Auxotrophy. mSphere. 5(3). 18 indexed citations
14.
Larson, Peter J., et al.. (2020). Challenges in Developing a Human Model System for Skin Microbiome Research. Journal of Investigative Dermatology. 141(1). 228–231.e4. 27 indexed citations
15.
Marko, Kathryn, Nihar Ganju, Jill M. Krapf, et al.. (2019). A Mobile Prenatal Care App to Reduce In-Person Visits: Prospective Controlled Trial. JMIR mhealth and uhealth. 7(5). e10520–e10520. 58 indexed citations
16.
Marko, Kathryn, et al.. (2016). Testing the Feasibility of Remote Patient Monitoring in Prenatal Care Using a Mobile App and Connected Devices: A Prospective Observational Trial. JMIR Research Protocols. 5(4). e200–e200. 77 indexed citations
17.
Oh, Julia, Allyson L. Byrd, Clay Deming, et al.. (2014). Biogeography and individuality shape function in the human skin metagenome. Nature. 514(7520). 59–64. 781 indexed citations breakdown →
18.
Findley, Keisha, Julia Oh, Joy Yang, et al.. (2013). Topographic diversity of fungal and bacterial communities in human skin. Nature. 498(7454). 367–370. 839 indexed citations breakdown →
19.
Kong, Heidi H., Julia Oh, Clay Deming, et al.. (2012). Temporal shifts in the skin microbiome associated with disease flares and treatment in children with atopic dermatitis. Genome Research. 22(5). 850–859. 1262 indexed citations breakdown →
20.
Huang, Eugene, Eric A. Strom, George H. Perkins, et al.. (2006). Comparison of risk of local-regional recurrence after mastectomy or breast conservation therapy for patients treated with neoadjuvant chemotherapy and radiation stratified according to a prognostic index score. International Journal of Radiation Oncology*Biology*Physics. 66(2). 352–357. 53 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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