Casey Ta

1.1k total citations
46 papers, 627 citations indexed

About

Casey Ta is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Casey Ta has authored 46 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Molecular Biology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Casey Ta's work include Biomedical Text Mining and Ontologies (12 papers), Machine Learning in Healthcare (11 papers) and Topic Modeling (10 papers). Casey Ta is often cited by papers focused on Biomedical Text Mining and Ontologies (12 papers), Machine Learning in Healthcare (11 papers) and Topic Modeling (10 papers). Casey Ta collaborates with scholars based in United States, South Korea and Singapore. Casey Ta's co-authors include Chunhua Weng, Andrew C. Kummel, Robert F. Mattrey, Ziran Li, Yuko Kono, Tian Kang, Cong Liu, Christopher V. Barback, Chi Yuan and Patrick Ryan and has published in prestigious journals such as Nucleic Acids Research, Biomaterials and Radiology.

In The Last Decade

Casey Ta

40 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Casey Ta United States 15 189 185 121 103 67 46 627
Benjamin Fine Canada 14 87 0.5× 57 0.3× 153 1.3× 136 1.3× 27 0.4× 42 804
S. P. Somashekhar India 11 118 0.6× 52 0.3× 35 0.3× 153 1.5× 38 0.6× 98 670
Xun Xiao China 12 213 1.1× 107 0.6× 51 0.4× 399 3.9× 24 0.4× 19 1.1k
Patrick D. Tyler United States 13 137 0.7× 90 0.5× 70 0.6× 58 0.6× 40 0.6× 31 623
Lin Guo China 13 98 0.5× 116 0.6× 65 0.5× 159 1.5× 16 0.2× 57 542
Rebecca I. Hartman United States 12 68 0.4× 145 0.8× 32 0.3× 74 0.7× 90 1.3× 57 718
Jonathan Guo United Kingdom 5 53 0.3× 101 0.5× 33 0.3× 73 0.7× 32 0.5× 8 524
Margaret G. Keane United Kingdom 18 57 0.3× 171 0.9× 80 0.7× 116 1.1× 39 0.6× 69 1.3k
Urszula Wojciechowska Poland 12 128 0.7× 178 1.0× 39 0.3× 235 2.3× 71 1.1× 54 2.7k
Venceslau Hespanhol Portugal 21 105 0.6× 194 1.0× 32 0.3× 225 2.2× 22 0.3× 102 1.2k

Countries citing papers authored by Casey Ta

Since Specialization
Citations

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

Fields of papers citing papers by Casey Ta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Casey Ta

This figure shows the co-authorship network connecting the top 25 collaborators of Casey Ta. A scholar is included among the top collaborators of Casey Ta 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 Casey Ta. Casey Ta 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
1.
2.
Park, Jimyung, Casey Ta, Betina Idnay, et al.. (2024). Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation. Journal of Biomedical Informatics. 154. 104649–104649. 17 indexed citations
3.
Liu, Cong, et al.. (2024). Converting OMOP CDM to phenopackets: A model alignment and patient data representation evaluation. Journal of Biomedical Informatics. 155. 104659–104659.
4.
Ahimaz, Priyanka, Nga Nguyen, Rachel Lewis, et al.. (2024). Phenotype driven molecular genetic test recommendation for diagnosing pediatric rare disorders. npj Digital Medicine. 7(1). 333–333. 2 indexed citations
5.
Idnay, Betina, Gongbo Zhang, Casey Ta, et al.. (2024). Mini-mental status examination phenotyping for Alzheimer’s disease patients using both structured and narrative electronic health record features. Journal of the American Medical Informatics Association. 32(1). 119–128. 1 indexed citations
6.
Kang, Tian, Yingcheng Sun, Jae Hyun Kim, et al.. (2023). EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension. Journal of the American Medical Informatics Association. 30(6). 1022–1031. 9 indexed citations
7.
Ta, Casey, et al.. (2023). Applying unsupervised machine learning approaches to characterize autologous breast reconstruction patient subgroups: an NSQIP analysis of 14,274 patients. Journal of Plastic Reconstructive & Aesthetic Surgery. 88. 330–339. 6 indexed citations
8.
Idnay, Betina, Casey Ta, Cong Liu, et al.. (2023). Uncovering key clinical trial features influencing recruitment. Journal of Clinical and Translational Science. 7(1). e199–e199. 7 indexed citations
9.
Kim, Jae Hyun, May Hua, Robert A. Whittington, et al.. (2022). A machine learning approach to identifying delirium from electronic health records. JAMIA Open. 5(2). ooac042–ooac042. 6 indexed citations
10.
Liu, Cong, Casey Ta, Ali Soroush, et al.. (2022). Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis. JMIR Public Health and Surveillance. 8(5). e35311–e35311. 20 indexed citations
11.
Ta, Casey, et al.. (2022). Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records. Journal of the American Medical Informatics Association. 30(2). 256–272. 4 indexed citations
12.
Liu, Cong, Casey Ta, James M. Havrilla, et al.. (2022). OARD: Open annotations for rare diseases and their phenotypes based on real-world data. The American Journal of Human Genetics. 109(9). 1591–1604. 4 indexed citations
13.
Rogers, James R., Casey Ta, Cong Liu, et al.. (2022). Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety. Journal of Biomedical Informatics. 127. 104032–104032. 4 indexed citations
14.
Liu, Cong, Jae Hyun Kim, Ning Shang, et al.. (2021). Comparative effectiveness of medical concept embedding for feature engineering in phenotyping. JAMIA Open. 4(2). ooab028–ooab028. 10 indexed citations
15.
Kim, Jae Hyun, Cong Liu, George Hripcsak, et al.. (2021). Columbia Open Health Data for COVID-19 Research: Database Analysis. Journal of Medical Internet Research. 23(9). e31122–e31122. 3 indexed citations
16.
Fecho, Karamarie, Stanley C. Ahalt, Saravanan Arunachalam, et al.. (2019). Sex, obesity, diabetes, and exposure to particulate matter among patients with severe asthma: Scientific insights from a comparative analysis of open clinical data sources during a five-day hackathon. Journal of Biomedical Informatics. 100. 103325–103325. 13 indexed citations
17.
Ahalt, Stanley C., Christopher G. Chute, Karamarie Fecho, et al.. (2019). Clinical Data: Sources and Types, Regulatory Constraints, Applications. Clinical and Translational Science. 12(4). 329–333. 15 indexed citations
18.
Ta, Casey, Michel Dumontier, George Hripcsak, Nicholas P. Tatonetti, & Chunhua Weng. (2018). Columbia Open Health Data, clinical concept prevalence and co-occurrence from electronic health records. Scientific Data. 5(1). 180273–180273. 30 indexed citations
19.
Ta, Casey, Yuko Kono, Mohammad Eghtedari, et al.. (2017). Focal Liver Lesions: Computer-aided Diagnosis by Using Contrast-enhanced US Cine Recordings. Radiology. 286(3). 1062–1071. 41 indexed citations
20.
Ta, Casey, et al.. (1958). Lamellar corneal grafting as an out-patient procedure.. PubMed. 78. 709–16. 2 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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