Matthew T. Patrick

2.9k total citations
46 papers, 865 citations indexed

About

Matthew T. Patrick is a scholar working on Immunology, Dermatology and Molecular Biology. According to data from OpenAlex, Matthew T. Patrick has authored 46 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 13 papers in Dermatology and 9 papers in Molecular Biology. Recurrent topics in Matthew T. Patrick's work include Dermatology and Skin Diseases (9 papers), Psoriasis: Treatment and Pathogenesis (7 papers) and Software Testing and Debugging Techniques (7 papers). Matthew T. Patrick is often cited by papers focused on Dermatology and Skin Diseases (9 papers), Psoriasis: Treatment and Pathogenesis (7 papers) and Software Testing and Debugging Techniques (7 papers). Matthew T. Patrick collaborates with scholars based in United States, United Kingdom and China. Matthew T. Patrick's co-authors include Lam C. Tsoi, Jóhann E. Guðjónsson, James T. Elder, Kalpana Raja, J. Michelle Kahlenberg, Céline C. Berthier, Rachael Wasikowski, Kevin He, Xianying Xing and Allison C. Billi and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Matthew T. Patrick

44 papers receiving 846 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew T. Patrick United States 17 272 226 222 173 116 46 865
Anupam Mitra United States 16 426 1.6× 214 0.9× 170 0.8× 175 1.0× 35 0.3× 32 906
Gwo-Shing Chen Taiwan 8 142 0.5× 112 0.5× 148 0.7× 170 1.0× 27 0.2× 12 894
Roberto Alfano Italy 19 115 0.4× 231 1.0× 269 1.2× 34 0.2× 96 0.8× 93 1.0k
Murat Borlu Türkiye 17 63 0.2× 108 0.5× 186 0.8× 163 0.9× 31 0.3× 70 818
Sophie Glatt United Kingdom 10 365 1.3× 189 0.8× 243 1.1× 177 1.0× 21 0.2× 14 858
Qian Yu China 15 237 0.9× 154 0.7× 140 0.6× 45 0.3× 18 0.2× 42 564
Meifang Wu China 17 131 0.5× 162 0.7× 39 0.2× 256 1.5× 42 0.4× 59 1.0k
Takeshi Ozeki Japan 15 128 0.5× 196 0.9× 76 0.3× 205 1.2× 113 1.0× 54 1.1k
Ronald Chan Hong Kong 18 240 0.9× 275 1.2× 28 0.1× 27 0.2× 175 1.5× 54 1.2k
Ruolin Li China 16 57 0.2× 313 1.4× 29 0.1× 48 0.3× 59 0.5× 53 797

Countries citing papers authored by Matthew T. Patrick

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Patrick'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 Matthew T. Patrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Patrick more than expected).

Fields of papers citing papers by Matthew T. Patrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew T. Patrick

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Patrick. A scholar is included among the top collaborators of Matthew T. Patrick 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 Matthew T. Patrick. Matthew T. Patrick 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.
Patrick, Matthew T., Yuntian Wu, Xue Zhong, et al.. (2025). IL31 identified as a key genetic risk factor for prurigo nodularis. Journal of Allergy and Clinical Immunology. 156(5). 1410–1413.
2.
Patrick, Matthew T., Mehrnaz Gharaee‐Kermani, Haihan Zhang, et al.. (2024). Profiling Long Noncoding RNA in Psoriatic Skin Using Single-Cell RNA Sequencing. Journal of Investigative Dermatology. 145(5). 1060–1069.e7. 3 indexed citations
3.
Patrick, Matthew T., Rajan P. Nair, Kevin He, et al.. (2023). Shared Genetic Risk Factors for Multiple Sclerosis/Psoriasis Suggest Involvement of Interleukin‐17 and Janus Kinase–Signal Transducers and Activators of Transcription Signaling. Annals of Neurology. 94(2). 384–397. 10 indexed citations
4.
Patrick, Matthew T., Rachael Wasikowski, Mrinal K. Sarkar, et al.. (2023). Large-scale functional inference for skin-expressing lncRNAs using expression and sequence information. JCI Insight. 8(24). 5 indexed citations
5.
Khunsriraksakul, Chachrit, Havell Markus, Matthew T. Patrick, et al.. (2023). Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus. Nature Communications. 14(1). 668–668. 26 indexed citations
6.
Zhang, Haihan, Matthew T. Patrick, Trilokraj Tejasvi, et al.. (2023). Retrospective pharmacogenetic study of psoriasis highlights the role of KLK7 in tumour necrosis factor signalling. British Journal of Dermatology. 190(1). 70–79. 4 indexed citations
7.
Ma, Feiyang, Mehrnaz Gharaee‐Kermani, Lam C. Tsoi, et al.. (2023). Single-cell profiling of prurigo nodularis demonstrates immune-stromal crosstalk driving profibrotic responses and reversal with nemolizumab. Journal of Allergy and Clinical Immunology. 153(1). 146–160. 20 indexed citations
8.
Xu, Linlin, Yong Hu, Lijun Liu, et al.. (2023). MTMR3 risk alleles enhance Toll Like Receptor 9-induced IgA immunity in IgA nephropathy. Kidney International. 104(3). 562–576. 8 indexed citations
9.
Zhu, Jiahao, Dan Zhou, James T. Elder, et al.. (2022). Alcohol consumption and smoking in relation to psoriasis: a Mendelian randomization study. British Journal of Dermatology. 187(5). 684–691. 43 indexed citations
10.
Jairath, Neil, Yang Wang, Matthew T. Patrick, et al.. (2022). Predictors of large cell transformation in patients with Sezary Syndrome—A retrospective analysis. PLoS ONE. 17(11). e0277655–e0277655. 1 indexed citations
11.
Budunova, Irina, et al.. (2022). Roles Played by Stress-Induced Pathways in Driving Ethnic Heterogeneity for Inflammatory Skin Diseases. Frontiers in Immunology. 13. 845655–845655. 5 indexed citations
12.
Zhou, Shu‐Feng, Lam C. Tsoi, Yong Hu, et al.. (2021). Exome Chip Analyses and Genetic Risk for IgA Nephropathy among Han Chinese. Clinical Journal of the American Society of Nephrology. 16(2). 213–224. 12 indexed citations
13.
Patrick, Matthew T., Haihan Zhang, Rachael Wasikowski, et al.. (2021). Associations between COVID-19 and skin conditions identified through epidemiology and genomic studies. Journal of Allergy and Clinical Immunology. 147(3). 857–869.e7. 41 indexed citations
14.
Tsoi, Lam C., Paul Fogel, Xianying Xing, et al.. (2021). LB817 Transcriptomic characterization of Prurigo Nodularis and the therapeutic response to Nemolizumab.. Journal of Investigative Dermatology. 141(9). B27–B27. 1 indexed citations
15.
Patrick, Matthew T., Philip E. Stuart, Haihan Zhang, et al.. (2020). Causal Relationship and Shared Genetic Loci between Psoriasis and Type 2 Diabetes through Trans-Disease Meta-Analysis. Journal of Investigative Dermatology. 141(6). 1493–1502. 35 indexed citations
16.
Shao, Shuai, Lam C. Tsoi, Mrinal K. Sarkar, et al.. (2019). IFN-γ enhances cell-mediated cytotoxicity against keratinocytes via JAK2/STAT1 in lichen planus. Science Translational Medicine. 11(511). 110 indexed citations
17.
Veniaminova, Natalia A., Marina Grachtchouk, David A. Quigley, et al.. (2019). Niche-Specific Factors Dynamically Regulate Sebaceous Gland Stem Cells in the Skin. Developmental Cell. 51(3). 326–340.e4. 32 indexed citations
18.
Nagpal, Sini, Michael P. Epstein, Lam C. Tsoi, et al.. (2019). TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits. The American Journal of Human Genetics. 105(2). 258–266. 71 indexed citations
19.
Patrick, Matthew T., Philip E. Stuart, Kalpana Raja, et al.. (2019). Integrative Approach to Reveal Cell Type Specificity and Gene Candidates for Psoriatic Arthritis Outside the MHC. Frontiers in Genetics. 10. 304–304. 5 indexed citations
20.
Raja, Kalpana, Matthew T. Patrick, James T. Elder, & Lam C. Tsoi. (2017). Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseases. Scientific Reports. 7(1). 3690–3690. 54 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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