Matthew T. Patrick
- Dermatology top 2%
- Dermatology and Skin Diseases 9
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis 7
- IL-33, ST2, and ILC Pathways 5
- Software top 10%
- Software Testing and Debugging Techniques 7
- Software Reliability and Analysis Research 5
- Rheumatology top 5%
- Urticaria and Related Conditions 4
- Periodontics top 5%
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- Software Engineering Research 6
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- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Lam C. TsoiJóhann E. GuðjónssonJames T. ElderKalpana RajaJ. Michelle KahlenbergCéline C. BerthierRachael WasikowskiKevin He
- Cited by
- DermatologyImmunologySoftware
- Journals
- Journal of Investigative Dermatology (6 papers)Journal of Allergy and Clinical Immunology (5 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Matthew T. Patrick
44 papers receiving 846 citations
Peers
Comparison fields: 5 of 113
- Dermatology 222
- Immunology 272
- Software 44
- Rheumatology 173
- Periodontics 47
Countries citing papers authored by Matthew T. Patrick
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
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
The 25 scholars most cited alongside Matthew T. Patrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 43 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 41 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 35 | |
| 16 | 2019 | 110 | |
| 17 | 2019 | 32 | |
| 18 | 2019 | 71 | |
| 19 | 2019 | 5 | |
| 20 | 2017 | 54 |
About Matthew T. Patrick
Matthew T. Patrick is a scholar working on Software, Dermatology, Immunology, Rheumatology and Pharmacology, having authored 46 papers that have together received 865 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (9 papers), Psoriasis: Treatment and Pathogenesis (7 papers), Software Testing and Debugging Techniques (7 papers), Software Engineering Research (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Software Reliability and Analysis Research (5 papers), IL-33, ST2, and ILC Pathways (5 papers) and Urticaria and Related Conditions (4 papers). The work is most often cited by research in Dermatology (222 citations), Immunology (272 citations), Software (44 citations), Rheumatology (173 citations) and Periodontics (47 citations). Matthew T. Patrick has collaborated with scholars based in United States, United Kingdom and China. Frequent 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. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Allergy and Clinical Immunology, Scientific Reports, Nature Communications and Frontiers in Immunology.
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.