Inez Y. Oh

555 total citations
19 papers, 193 citations indexed

About

Inez Y. Oh is a scholar working on Molecular Biology, Psychiatry and Mental health and Artificial Intelligence. According to data from OpenAlex, Inez Y. Oh has authored 19 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Psychiatry and Mental health and 4 papers in Artificial Intelligence. Recurrent topics in Inez Y. Oh's work include Dementia and Cognitive Impairment Research (4 papers), Machine Learning in Healthcare (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Inez Y. Oh is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Machine Learning in Healthcare (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Inez Y. Oh collaborates with scholars based in United States, China and Spain. Inez Y. Oh's co-authors include Philip Payne, Cristina de Guzman Strong, Albert M. Lai, Aditi Gupta, Suzanne E. Schindler, Jessica H. Geahlen, Nupur Ghoshal, Shiming Chen, Zachary B. Abrams and Daniel Kreisel and has published in prestigious journals such as Nature Communications, PLoS ONE and Neurology.

In The Last Decade

Inez Y. Oh

15 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inez Y. Oh United States 8 59 56 39 23 21 19 193
Shruti Marwaha United States 6 131 2.2× 7 0.1× 17 0.4× 8 0.3× 2 0.1× 19 283
Azam Qureshi United States 9 31 0.5× 15 0.3× 4 0.1× 28 1.2× 103 4.9× 21 269
Yakui Mou China 10 58 1.0× 8 0.1× 14 0.4× 76 3.3× 20 1.0× 58 289
Dianne Mattingly United States 7 127 2.2× 24 0.4× 11 0.3× 3 0.1× 72 3.4× 8 382
Robert A Bermel United States 7 36 0.6× 28 0.5× 3 0.1× 11 0.5× 2 0.1× 12 349
Diptavo Dutta United States 8 111 1.9× 29 0.5× 4 0.1× 4 0.2× 2 0.1× 17 291
Houjun Liu China 11 67 1.1× 22 0.4× 26 0.7× 1 0.0× 78 3.7× 24 285
Jia Zhao China 4 105 1.8× 9 0.2× 7 0.2× 3 0.1× 6 0.3× 14 267
William J. Chapin United States 9 94 1.6× 5 0.1× 13 0.3× 58 2.5× 88 4.2× 23 528

Countries citing papers authored by Inez Y. Oh

Since Specialization
Citations

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

Fields of papers citing papers by Inez Y. Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inez Y. Oh

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

All Works

19 of 19 papers shown
1.
Oh, Inez Y., Randi E. Foraker, Albert M. Lai, et al.. (2025). Comparison of rule- and large language model-based phenotype extraction from clinical notes for neurofibromatosis type 1. Journal of the American Medical Informatics Association. 32(11). 1663–1673.
2.
Oh, Inez Y., et al.. (2025). Automated extraction of functional biomarkers of verbal and ambulatory ability from multi-institutional clinical notes using large language models. Journal of Neurodevelopmental Disorders. 17(1). 24–24. 1 indexed citations
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Oh, Inez Y., et al.. (2024). Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles. PLoS ONE. 19(11). e0313425–e0313425.
5.
Oh, Inez Y., et al.. (2024). Document-level Clinical Entity and Relation extraction via Knowledge Base-Guided Generation. 318–327. 2 indexed citations
6.
Oh, Inez Y., et al.. (2024). Pathogenic variants in CRX have distinct cis -regulatory effects on enhancers and silencers in photoreceptors. Genome Research. 34(2). 243–255. 10 indexed citations
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Michelson, Andrew P., Inez Y. Oh, Aditi Gupta, et al.. (2023). Developing machine learning models to predict primary graft dysfunction after lung transplantation. American Journal of Transplantation. 24(3). 458–467. 9 indexed citations
10.
Oh, Inez Y., Suzanne E. Schindler, Nupur Ghoshal, et al.. (2023). Extraction of clinical phenotypes for Alzheimer’s disease dementia from clinical notes using natural language processing. JAMIA Open. 6(1). ooad014–ooad014. 13 indexed citations
11.
Gupta, Aditi, Inez Y. Oh, Suzanne E. Schindler, et al.. (2023). Association Between Socioeconomic Factors, Race, and Use of a Specialty Memory Clinic. Neurology. 101(14). e1424–e1433. 14 indexed citations
12.
Gupta, Aditi, Inez Y. Oh, Michelle C. Marks, et al.. (2023). Machine Learning for Benchmarking Adolescent Idiopathic Scoliosis Surgery Outcomes. Spine. 48(16). 1138–1147. 2 indexed citations
13.
Mathyer, Mary Elizabeth, Alina Schmidt, Inez Y. Oh, et al.. (2021). Selective sweep for an enhancer involucrin allele identifies skin barrier adaptation out of Africa. Nature Communications. 12(1). 2557–2557. 7 indexed citations
14.
Oh, Inez Y., et al.. (2021). Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review. JAMIA Open. 4(3). ooab052–ooab052. 61 indexed citations
15.
Oh, Inez Y. & Shiming Chen. (2019). High-Throughput Analysis of Retinal Cis-Regulatory Networks by Massively Parallel Reporter Assays. Advances in experimental medicine and biology. 1185. 359–364. 4 indexed citations
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Oh, Inez Y. & Cristina de Guzman Strong. (2017). The Molecular Revolution in Cutaneous Biology: EDC and Locus Control. Journal of Investigative Dermatology. 137(5). e101–e104. 22 indexed citations
19.
Oh, Inez Y., et al.. (2014). Regulation of the Dynamic Chromatin Architecture of the Epidermal Differentiation Complex Is Mediated by a c-Jun/AP-1-Modulated Enhancer. Journal of Investigative Dermatology. 134(9). 2371–2380. 25 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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