Tianrun Cai

3.4k total citations · 1 hit paper
49 papers, 1.6k citations indexed

About

Tianrun Cai is a scholar working on Artificial Intelligence, Rheumatology and Molecular Biology. According to data from OpenAlex, Tianrun Cai has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Rheumatology and 10 papers in Molecular Biology. Recurrent topics in Tianrun Cai's work include Machine Learning in Healthcare (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Tianrun Cai is often cited by papers focused on Machine Learning in Healthcare (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Tianrun Cai collaborates with scholars based in United States, Canada and China. Tianrun Cai's co-authors include Katherine P. Liao, Kanako K. Kumamaru, Andreas A. Giannopoulos, Tianxi Cai, Vivian S. Gainer, Elizabeth George, Isaac S. Kohane, Ashwin N. Ananthakrishnan, Peter Liacouras and Dimitris Mitsouras and has published in prestigious journals such as Circulation, Bioinformatics and BMJ.

In The Last Decade

Tianrun Cai

47 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Medical 3D Printing for the Radiologist

2015 426 citations Dimitris Mitsouras, Peter Liacouras et al. Radiographics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tianrun Cai United States	19	437	399	319	295	214	49	1.6k
Keno K. Bressem Germany	26	229 0.5×	427 1.1×	145 0.5×	145 0.5×	785 3.7×	109	1.8k
Zahra Raisi‐Estabragh United Kingdom	23	202 0.5×	142 0.4×	148 0.5×	142 0.5×	454 2.1×	102	2.0k
Neil Johnson United States	27	262 0.6×	230 0.6×	861 2.7×	216 0.7×	531 2.5×	111	2.5k
Shelly Soffer Israel	21	179 0.4×	303 0.8×	368 1.2×	79 0.3×	509 2.4×	97	2.1k
Phyllis J. Kornguth United States	27	182 0.4×	593 1.5×	280 0.9×	206 0.7×	597 2.8×	42	2.0k
Mary B. Barton United States	20	187 0.4×	172 0.4×	253 0.8×	102 0.3×	227 1.1×	46	2.7k
Aditya Sharma United States	27	105 0.2×	139 0.3×	390 1.2×	106 0.4×	360 1.7×	127	1.7k
Hooman H. Rashidi United States	19	154 0.4×	326 0.8×	88 0.3×	139 0.5×	287 1.3×	68	1.4k
Sanjay Aneja United States	23	147 0.3×	267 0.7×	325 1.0×	112 0.4×	707 3.3×	95	2.4k
Lehn K. Weaver United States	16	415 0.9×	82 0.2×	209 0.7×	324 1.1×	157 0.7×	29	2.3k

Countries citing papers authored by Tianrun Cai

Since Specialization

Citations

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

Fields of papers citing papers by Tianrun Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianrun Cai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hou, Jue, Kimberly F. Greco, Jun Wen, et al.. (2025). Advancing the Use of Longitudinal Electronic Health Records: Tutorial for Uncovering Real-World Evidence in Chronic Disease Outcomes. Journal of Medical Internet Research. 27. e71873–e71873.

Liu, Qing, Clara-Lea Bonzel, Tianrun Cai, et al.. (2024). PP01.105 Early Detection of Non-Small Cell Lung Cancer using Electronic Health Record Data. Journal of Thoracic Oncology. 19(7). e46–e47.

Santacroce, L, et al.. (2023). Social Determinants of Health Documentation Among Individuals With Rheumatic and Musculoskeletal Conditions in an Integrated Care Management Program. Arthritis Care & Research. 75(12). 2529–2536. 6 indexed citations

Yoshida, Kazuki, Tianrun Cai, Lily G. Bessette, et al.. (2023). Improving the accuracy of automated gout flare ascertainment using natural language processing of electronic health records and linked Medicare claims data. Pharmacoepidemiology and Drug Safety. 33(1). e5684–e5684. 1 indexed citations

Hou, Jue, Jessica Gronsbell, Yucong Lin, et al.. (2023). Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies. Journal of Medical Internet Research. 25. e45662–e45662. 8 indexed citations

Zhang, Harrison G., Gregory C McDermott, Sicong Huang, et al.. (2023). Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores. EBioMedicine. 92. 104581–104581. 6 indexed citations

Ashburner, Jeffrey M., Yuchiao Chang, Xin Wang, et al.. (2022). Natural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records. Journal of the American Heart Association. 11(15). e026014–e026014. 8 indexed citations

Zhang, Yichi, Tianrun Cai, Yuri Ahuja, et al.. (2019). Automated grouping of medical codes via multiview banded spectral clustering. Journal of Biomedical Informatics. 100. 103322–103322. 5 indexed citations

Cai, Tianrun, Nicole Yang, Kanako K. Kumamaru, et al.. (2019). EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research. BMC Medical Informatics and Decision Making. 19(1). 226–226. 12 indexed citations

10.

Zhong, Qiu‐Yue, Leena Mittal, Tianrun Cai, et al.. (2018). Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem. European Journal of Epidemiology. 34(2). 153–162. 42 indexed citations

11.

Cai, Tianrun, Andreas A. Giannopoulos, Sheng Yu, et al.. (2016). Natural Language Processing Technologies in Radiology Research and Clinical Applications. Radiographics. 36(1). 176–191. 150 indexed citations

12.

Kumamaru, Kanako K., Sachin S. Saboo, Ayaz Aghayev, et al.. (2016). CT pulmonary angiography-based scoring system to predict the prognosis of acute pulmonary embolism. Journal of cardiovascular computed tomography. 10(6). 473–479. 34 indexed citations

13.

Bedayat, Arash, Tianrun Cai, Elizabeth George, et al.. (2015). Association Between Confidence Level of Acute Pulmonary Embolism Diagnosis on CTPA images and Clinical Outcomes. Academic Radiology. 22(12). 1555–1561. 4 indexed citations

14.

Mitsouras, Dimitris, Peter Liacouras, Amir Imanzadeh, et al.. (2015). Medical 3D Printing for the Radiologist. Radiographics. 35(7). 1965–1988. 426 indexed citations breakdown →

15.

Liao, Katherine P., Tianrun Cai, Guergana Savova, et al.. (2015). Development of phenotype algorithms using electronic medical records and incorporating natural language processing. BMJ. 350(apr24 11). h1885–h1885. 201 indexed citations

16.

Cai, Tianrun, Michael K. Cheezum, Andreas A. Giannopoulos, et al.. (2015). Abstract 14658: Accuracy of 3D Printed Models of the Aortic Valve Complex for Transcatheter Aortic Valve Replacement (TAVR) Planning: Comparison to Computed Tomographic Angiography (CTA). Circulation. 132(suppl_3). 2 indexed citations

17.

Cai, Tianrun, Frank J. Rybicki, Andreas A. Giannopoulos, et al.. (2015). The residual STL volume as a metric to evaluate accuracy and reproducibility of anatomic models for 3D printing: application in the validation of 3D-printable models of maxillofacial bone from reduced radiation dose CT images. 3D Printing in Medicine. 1(1). 2–2. 28 indexed citations

18.

Chatzizisis, Yiannis S., Elizabeth George, Tianrun Cai, et al.. (2014). Accuracy and reproducibility of automated, standardized coronary transluminal attenuation gradient measurements. International journal of cardiac imaging. 30(6). 1181–1189. 14 indexed citations

19.

Liao, Katherine P., Dorothée Diogo, Jing Cui, et al.. (2013). Association between low density lipoprotein and rheumatoid arthritis genetic factors with low density lipoprotein levels in rheumatoid arthritis and non-rheumatoid arthritis controls. Annals of the Rheumatic Diseases. 73(6). 1170–1175. 2 indexed citations

20.

Tian, Lü, et al.. (2008). Exact and efficient inference procedure for meta-analysis and its application to the analysis of independent 2 x 2 tables with all available data but without artificial continuity correction. Biostatistics. 10(2). 275–281. 73 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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