Phyllis Thangaraj

738 total citations
16 papers, 331 citations indexed

About

Phyllis Thangaraj is a scholar working on Molecular Biology, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Phyllis Thangaraj has authored 16 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Phyllis Thangaraj's work include Biomedical Text Mining and Ontologies (4 papers), Machine Learning in Healthcare (3 papers) and Advanced Causal Inference Techniques (2 papers). Phyllis Thangaraj is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Machine Learning in Healthcare (3 papers) and Advanced Causal Inference Techniques (2 papers). Phyllis Thangaraj collaborates with scholars based in United States, Netherlands and United Kingdom. Phyllis Thangaraj's co-authors include Nicholas P. Tatonetti, Benjamin S. Glicksberg, Jonathan Foox, Christopher E. Mason, Cem Meydan, Sagi Shapira, Daniel Butler, Jacob Kim, Vijendra Ramlall and Jessica K. De Freitas and has published in prestigious journals such as Nature Medicine, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Phyllis Thangaraj

14 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phyllis Thangaraj United States 7 161 70 54 38 38 16 331
Akram Mohammed United States 12 58 0.4× 47 0.7× 38 0.7× 132 3.5× 28 0.7× 28 459
Michelle Stram United States 11 95 0.6× 16 0.2× 114 2.1× 58 1.5× 31 0.8× 15 410
Angelica M. Walker United States 7 162 1.0× 47 0.7× 83 1.5× 62 1.6× 11 0.3× 10 385
Dominik Soll Germany 8 30 0.2× 57 0.8× 16 0.3× 59 1.6× 51 1.3× 16 349
Maximilian Kittel Germany 12 113 0.7× 21 0.3× 40 0.7× 98 2.6× 25 0.7× 41 394
Laila Salameh United Arab Emirates 11 45 0.3× 47 0.7× 17 0.3× 44 1.2× 25 0.7× 23 244
Jinguo Ye China 7 414 2.6× 182 2.6× 214 4.0× 160 4.2× 38 1.0× 14 689
Jaideep Chakladar United States 12 100 0.6× 24 0.3× 27 0.5× 181 4.8× 99 2.6× 23 505
Kao-Jung Chang Taiwan 11 85 0.5× 9 0.1× 46 0.9× 144 3.8× 156 4.1× 23 486

Countries citing papers authored by Phyllis Thangaraj

Since Specialization
Citations

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

Fields of papers citing papers by Phyllis Thangaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phyllis Thangaraj

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

All Works

16 of 16 papers shown
1.
Thangaraj, Phyllis, Evangelos K. Oikonomou, Lovedeep Singh Dhingra, et al.. (2025). Computational Phenomapping of Randomized Clinical Trial Participants to Enable Assessment of Their Real-World Representativeness and Personalized Inference. Circulation Cardiovascular Quality and Outcomes. 18(5). e011306–e011306. 1 indexed citations
2.
Biswas, Dhruva, Phyllis Thangaraj, Modele O. Ogunniyi, et al.. (2025). Artificial Intelligence for Cardiovascular Care in Action. JACC Advances. 4(11). 102307–102307.
3.
Thangaraj, Phyllis, Evangelos K. Oikonomou, & Rohan Khera. (2025). INDIVIDUALIZED RESPONSE TO TIRZEPATIDE FOR WEIGHT LOSS AND GLYCEMIC CONTROL USING COMPUTATIONAL PHENOMAPPING AND MACHINE LEARNING IN THE SURPASS TRIALS: THE TRIMAPS TOOLKIT. Journal of the American College of Cardiology. 85(12). 701–701. 1 indexed citations
4.
Thangaraj, Phyllis, S. Benson, Evangelos K. Oikonomou, Folkert W. Asselbergs, & Rohan Khera. (2024). Cardiovascular care with digital twin technology in the era of generative artificial intelligence. European Heart Journal. 45(45). 4808–4821. 37 indexed citations
5.
Thangaraj, Phyllis, et al.. (2024). A novel digital twin strategy to enable the translation of evidence from randomized control trials to new populations. European Heart Journal. 45(Supplement_1).
6.
Aminorroaya, Arya, Lovedeep Singh Dhingra, Evangelos K. Oikonomou, et al.. (2024). Development and multinational validation of an algorithmic strategy for high Lp(a) screening. Nature Cardiovascular Research. 3(5). 558–566. 8 indexed citations
7.
Thangaraj, Phyllis, Lovedeep Singh Dhingra, Arya Aminorroaya, et al.. (2024). Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure. JAMA Network Open. 7(11). e2443925–e2443925. 11 indexed citations
8.
Thangaraj, Phyllis & Rohan Khera. (2023). Accelerating chest pain evaluation with machine learning. European Heart Journal Acute Cardiovascular Care. 12(11). 753–754. 3 indexed citations
9.
Oikonomou, Evangelos K., Phyllis Thangaraj, Deepak L. Bhatt, et al.. (2023). An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials. npj Digital Medicine. 6(1). 217–217. 26 indexed citations
10.
Ramlall, Vijendra, Phyllis Thangaraj, Cem Meydan, et al.. (2020). Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection. Nature Medicine. 26(10). 1609–1615. 207 indexed citations
11.
Thangaraj, Phyllis, Benjamin Kummer, Tal Lorberbaum, Mitchell S.V. Elkind, & Nicholas P. Tatonetti. (2020). Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods. BioData Mining. 13(1). 21–21. 7 indexed citations
12.
Rodriguez, Victor A., Phyllis Thangaraj, Chao Pang, et al.. (2020). Phenotype Concept Set Construction from Concept Pair Likelihoods.. PubMed. 2020. 1080–1089. 1 indexed citations
13.
Thangaraj, Phyllis. (2020). Electronic Health Record-Derived Phenotyping Models to Improve Genomic Research in Stroke. Columbia Academic Commons (Columbia University). 1 indexed citations
14.
Glicksberg, Benjamin S., Boris Oskotsky, Nicholas Giangreco, et al.. (2019). ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data. JAMIA Open. 2(1). 10–14. 6 indexed citations
15.
Vattikuti, Shashaank, et al.. (2016). Canonical Cortical Circuit Model Explains Rivalry, Intermittent Rivalry, and Rivalry Memory. PLoS Computational Biology. 12(5). e1004903–e1004903. 17 indexed citations
16.
Thangaraj, Phyllis. (2016). Progress in Drug Research. 5 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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