Katherine P. Liao

14.2k total citations · 1 hit paper
164 papers, 5.2k citations indexed

About

Katherine P. Liao is a scholar working on Rheumatology, Epidemiology and Genetics. According to data from OpenAlex, Katherine P. Liao has authored 164 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Rheumatology, 33 papers in Epidemiology and 30 papers in Genetics. Recurrent topics in Katherine P. Liao's work include Rheumatoid Arthritis Research and Therapies (63 papers), Systemic Lupus Erythematosus Research (53 papers) and Machine Learning in Healthcare (18 papers). Katherine P. Liao is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (63 papers), Systemic Lupus Erythematosus Research (53 papers) and Machine Learning in Healthcare (18 papers). Katherine P. Liao collaborates with scholars based in United States, China and Netherlands. Katherine P. Liao's co-authors include Vivian S. Gainer, Tianxi Cai, Isaac S. Kohane, Daniel H. Solomon, Susanne Churchill, Shawn N. Murphy, Peter Szolovits, Elizabeth W. Karlson, Ashwin N. Ananthakrishnan and Stanley Y. Shaw and has published in prestigious journals such as Circulation, The Journal of Experimental Medicine and Bioinformatics.

In The Last Decade

Katherine P. Liao

155 papers receiving 5.1k 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.

Shared inflammatory pathways of rheumatoid arthritis and atherosclerotic cardiovascular disease

2023 75 citations Brittany Weber, Jon T. Giles et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katherine P. Liao United States	41	1.8k	1.0k	1.0k	941	696	164	5.2k
Elizabeth W. Karlson United States	55	4.2k 2.3×	1.4k 1.4×	1.1k 1.1×	1.5k 1.6×	316 0.5×	174	9.4k
Vivian S. Gainer United States	40	433 0.2×	1.0k 1.0×	1.1k 1.1×	967 1.0×	1.0k 1.5×	95	4.7k
Elizabeth W. Karlson United States	48	4.7k 2.5×	711 0.7×	1.0k 1.0×	1.0k 1.1×	187 0.3×	110	8.8k
Matthew J. Grainge United Kingdom	51	2.1k 1.2×	912 0.9×	1.8k 1.8×	1.2k 1.3×	139 0.2×	152	11.2k
Chang‐Fu Kuo Taiwan	36	1.3k 0.7×	199 0.2×	834 0.8×	885 0.9×	169 0.2×	188	5.4k
Paul Landais France	53	562 0.3×	1.3k 1.3×	969 1.0×	1.9k 2.0×	73 0.1×	216	9.8k
Gabriela Schmajuk United States	30	1.5k 0.8×	142 0.1×	251 0.2×	373 0.4×	386 0.6×	126	3.3k
Ian N Bruce United Kingdom	59	8.4k 4.5×	758 0.7×	1.2k 1.2×	701 0.7×	132 0.2×	310	12.1k
Giovanni Barosi Italy	66	4.2k 2.3×	225 0.2×	6.0k 6.0×	434 0.5×	125 0.2×	340	15.2k
Wei‐Qi Wei United States	25	152 0.1×	1.0k 1.0×	1.1k 1.1×	520 0.6×	680 1.0×	100	4.1k

Countries citing papers authored by Katherine P. Liao

Since Specialization

Citations

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

Fields of papers citing papers by Katherine P. Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine P. Liao. 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 Katherine P. Liao. The network helps show where Katherine P. Liao may publish in the future.

Co-authorship network of co-authors of Katherine P. Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine P. Liao. A scholar is included among the top collaborators of Katherine P. Liao 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 Katherine P. Liao. Katherine P. Liao 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

Huck, Daniel, Diana M. Lopez, Jenifer M. Brown, et al.. (2025). THE ROLE OF PET VS SPECT IN PREDICTING CARDIOVASCULAR RISKS IN PATIENTS WITH SYSTEMIC IMMUNE-MEDIATED INFLAMMATORY CONDITIONS. Journal of the American College of Cardiology. 85(12). 2116–2116.

Liao, Katherine P. & Tianxi Cai. (2024). Artificial intelligence as an assistant for studying treatment response in rheumatoid arthritis. Seminars in Arthritis and Rheumatism. 70. 152591–152591. 1 indexed citations

McDermott, Gregory C, Michael DiIorio, Yumeko Kawano, et al.. (2024). Reasons for multiple biologic and targeted synthetic DMARD switching and characteristics of treatment refractory rheumatoid arthritis. Seminars in Arthritis and Rheumatism. 66. 152421–152421. 4 indexed citations

Giles, Jon T., Daniel H. Solomon, Katherine P. Liao, et al.. (2024). Association of the multi-biomarker disease activity score with arterial 18-fluorodeoxyglucose uptake in rheumatoid arthritis. Lara D. Veeken. 64(3). 1077–1083. 1 indexed citations

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.

Solomon, Daniel H., Olga Demler, Pamela M. Rist, et al.. (2024). Biomarkers of Cardiovascular Risk in Patients With Rheumatoid Arthritis: Results From the TARGET Trial. Journal of the American Heart Association. 13(5). e032095–e032095. 1 indexed citations

Hong, Chuan, Liang Liang, Qianyu Yuan, et al.. (2023). Semi-supervised calibration of noisy event risk (SCANER) with electronic health records. Journal of Biomedical Informatics. 144. 104425–104425. 3 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

Cai, Tianrun, Tianrun Cai, Zhe He, et al.. (2022). Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review. Journal of Biomedical Informatics. 132. 104109–104109. 1 indexed citations

10.

Cai, Tianrun, Tianrun Cai, Chuan Hong, et al.. (2021). Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening. ACR Open Rheumatology. 3(9). 593–600. 18 indexed citations

11.

Weber, Brittany, Emma Stevens, Camden Bay, et al.. (2021). Coronary Microvascular Dysfunction in Systemic Lupus Erythematosus. Journal of the American Heart Association. 10(13). e018555–e018555. 32 indexed citations

12.

Wang, Feicheng, Shihao Yang, Nathan Palmer, et al.. (2021). Real-world data analyses unveiled the immune-related adverse effects of immune checkpoint inhibitors across cancer types. npj Precision Oncology. 5(1). 82–82. 24 indexed citations

13.

Liao, Katherine P., Jiehuan Sun, Tianrun Cai, et al.. (2019). High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. Journal of the American Medical Informatics Association. 26(11). 1255–1262. 56 indexed citations

14.

Liao, Katherine P., et al.. (2018). Risk of Hospitalized Infection and Initiation of Abatacept Versus Tumor Necrosis Factor Inhibitors Among Patients With Rheumatoid Arthritis: A Propensity Score–Matched Cohort Study. Arthritis Care & Research. 72(1). 9–17. 38 indexed citations

15.

Ananthakrishnan, Ashwin N., Andrew Cagan, Tianxi Cai, et al.. (2015). Common Genetic Variants Influence Circulating Vitamin D Levels in Inflammatory Bowel Diseases. Inflammatory Bowel Diseases. 21(11). 2507–2514. 27 indexed citations

16.

Ananthakrishnan, Ashwin N., Tianxi Cai, Guergana Savova, et al.. (2013). Improving Case Definition of Crohnʼs Disease and Ulcerative Colitis in Electronic Medical Records Using Natural Language Processing. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

17.

Ananthakrishnan, Ashwin N., Andrew Cagan, Vivian S. Gainer, et al.. (2013). Normalization of Plasma 25-Hydroxy Vitamin D Is Associated with Reduced Risk of Surgery in Crohn’s Disease. DSpace@MIT (Massachusetts Institute of Technology). 9 indexed citations

18.

Liao, Katherine P., Dorothée Diogo, Jing Cui, et al.. (2013). The association between low density lipoprotein (LDL) and RA genetic factors with LDL levels in rheumatoid arthritis and non-RA controls. PubMed Central. 21 indexed citations

19.

Ananthakrishnan, Ashwin N., Andrew Cagan, Vivian S. Gainer, et al.. (2013). Normalization of Plasma 25-Hydroxy Vitamin D Is Associated with Reduced Risk of Surgery in Crohn’s Disease. Inflammatory Bowel Diseases. 19(9). 1–1. 168 indexed citations

20.

Liao, Katherine P., Tianxi Cai, Vivian S. Gainer, et al.. (2010). Electronic Medical Records for Discovery Research in Rheumatoid Arthritis. PubMed Central. 1 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.

Explore authors with similar magnitude of impact