Patrick Wu

1.2k total citations · 1 hit paper
13 papers, 575 citations indexed

About

Patrick Wu is a scholar working on Molecular Biology, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Patrick Wu has authored 13 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Health Information Management and 3 papers in Artificial Intelligence. Recurrent topics in Patrick Wu's work include Machine Learning in Healthcare (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Artificial Intelligence in Healthcare (2 papers). Patrick Wu is often cited by papers focused on Machine Learning in Healthcare (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Artificial Intelligence in Healthcare (2 papers). Patrick Wu collaborates with scholars based in United States, Australia and China. Patrick Wu's co-authors include Wei‐Qi Wei, Juan Zhao, Joshua C. Denny, QiPing Feng, Xiangrui Meng, Robert J. Carroll, Lisa Bastarache, Xue Li, Aliya Gifford and Evropi Τheodoratou and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Patrick Wu

13 papers receiving 570 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.

Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation

2019 255 citations Patrick Wu, Aliya Gifford et al. JMIR Medical Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Wu United States	10	150	133	127	82	72	13	575
Nophar Geifman United Kingdom	17	325 2.2×	56 0.4×	76 0.6×	43 0.5×	87 1.2×	66	1.0k
Joseph B. Leader United States	13	133 0.9×	152 1.1×	52 0.4×	296 3.6×	74 1.0×	23	748
Annelaura Bach Nielsen Denmark	7	133 0.9×	34 0.3×	202 1.6×	47 0.6×	144 2.0×	18	527
Rupa Makadia United States	7	116 0.8×	29 0.2×	123 1.0×	81 1.0×	62 0.9×	12	598
Salim Janmohamed United Kingdom	9	121 0.8×	50 0.4×	93 0.7×	78 1.0×	89 1.2×	13	684
Erica A. Voss United States	11	88 0.6×	40 0.3×	76 0.6×	44 0.5×	75 1.0×	27	500
Akram Alyass Canada	13	285 1.9×	160 1.2×	46 0.4×	47 0.6×	72 1.0×	23	896
Daniel Bean United Kingdom	15	205 1.4×	32 0.2×	86 0.7×	67 0.8×	76 1.1×	32	831
Peter Speltz United States	7	157 1.0×	64 0.5×	155 1.2×	24 0.3×	36 0.5×	11	398

Countries citing papers authored by Patrick Wu

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Wu

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

All Works

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13 of 13 papers shown

Hu, Zicheng, Patrick Wu, & Steven J. Swanson. (2025). Evaluating the Immunogenicity Risk of Protein Therapeutics by Augmenting T Cell Epitope Prediction with Clinical Factors. The AAPS Journal. 27(1). 33–33. 1 indexed citations

Tsai, Wen‐Ting K., Yinyin Li, Zhaojun Yin, et al.. (2024). Nonclinical immunogenicity risk assessment for knobs-into-holes bispecific IgG ₁ antibodies. mAbs. 16(1). 2362789–2362789. 7 indexed citations

Dai, Jing, et al.. (2024). Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG ₁ antibody. mAbs. 16(1). 2304282–2304282. 14 indexed citations

Wu, Patrick, et al.. (2023). Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction. Journal of Biomedical Informatics. 138. 104294–104294. 32 indexed citations

Wu, Patrick, QiPing Feng, V. Eric Kerchberger, et al.. (2022). Integrating gene expression and clinical data to identify drug repurposing candidates for hyperlipidemia and hypertension. Nature Communications. 13(1). 46–46. 32 indexed citations

Mei, Qi, Ying Wang, Amy E. Bryant, et al.. (2021). Survival Factors and Metabolic Pathogenesis in Elderly Patients (≥65) With COVID-19: A Multi-Center Study. Frontiers in Medicine. 7. 595503–595503. 11 indexed citations

Bousman, Chad, et al.. (2021). Sequence2Script: A Web-Based Tool for Translation of Pharmacogenetic Data Into Evidence-Based Prescribing Recommendations. Frontiers in Pharmacology. 12. 636650–636650. 24 indexed citations

Wu, Patrick, Scott D. Nelson, Juan Zhao, et al.. (2021). DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions. Journal of the American Medical Informatics Association. 28(7). 1421–1430. 11 indexed citations

Zhao, Juan, QiPing Feng, Patrick Wu, et al.. (2019). Using topic modeling via non-negative matrix factorization to identify relationships between genetic variants and disease phenotypes: A case study of Lipoprotein(a) (LPA). PLoS ONE. 14(2). e0212112–e0212112. 26 indexed citations

10.

Wu, Patrick, Aliya Gifford, Xiangrui Meng, et al.. (2019). Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation. JMIR Medical Informatics. 7(4). e14325–e14325. 255 indexed citations breakdown →

11.

Zhao, Juan, Yun Zhang, David J. Schlueter, et al.. (2019). Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study. Journal of Biomedical Informatics. 98. 103270–103270. 34 indexed citations

12.

Zhao, Juan, QiPing Feng, Patrick Wu, et al.. (2019). Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction. Scientific Reports. 9(1). 717–717. 123 indexed citations

13.

Chan, Patricia C.K., Patrick Wu, Sidney Tam, et al.. (1991). Factors Affecting Lymphatic Absorption in Chinese Patients on Continuous Ambulatory Peritoneal Dialysis (CAPD). Peritoneal Dialysis International. 11(2). 147–151. 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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