Matthew Arentz
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
-
- Tuberculosis Research and Epidemiology 12
- COVID-19 Clinical Research Studies 4
-
- Mycobacterium research and diagnosis 4
- Pneumocystis jirovecii pneumonia detection and treatment 3
- Co-authors
- María Gabriela Acuña Chong (1 shared paper)Sharukh Lokhandwala (1 shared paper)Francis X. Riedo (1 shared paper)Melissa Lee (1 shared paper)Lindy S. Klaff (1 shared paper)Alan Booth (1 shared paper)Douglas A. Granger (1 shared paper)Eve B. Schwartz (1 shared paper)
- Journals
- PLoS ONE (3 papers)Cochrane Database of Systematic Reviews (2 papers)JAMA (1 paper)Radiology Artificial Intelligence (1 paper)iScience (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Matthew Arentz
15 papers receiving 1.9k citations
Matthew Arentz's Hit Papers
Peers
Comparison fields: 5 of 126
- Infectious Diseases 1.3k
- Neurology 674
- Critical Care and Intensive Care Medicine 188
- Applied Microbiology and Biotechnology 38
- Behavioral Neuroscience 64
Countries citing papers authored by Matthew Arentz
This map shows the geographic impact of Matthew Arentz'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 Arentz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Arentz more than expected).
Fields of papers citing papers by Matthew Arentz
This network shows the impact of papers produced by Matthew Arentz. 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 Arentz. The network helps show where Matthew Arentz may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Arentz, 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 | Characteristics and Outcomes of 21 Critically Ill Patients With COVID-19 in Washington State Hit paper breakdown → | 2020 | 1534 |
| 2 | 1999 | 207 | |
| 3 | 2012 | 60 | |
| 4 | 2012 | 38 | |
| 5 | 2013 | 29 | |
| 6 | 2015 | 25 | |
| 7 | 2012 | 22 | |
| 8 | 2007 | 19 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2011 | 5 | |
| 13 | 2009 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2011 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2018 | 0 | |
| 20 | 2020 | 0 |
About Matthew Arentz
Matthew Arentz is a scholar working on Infectious Diseases, Epidemiology, Radiology, Nuclear Medicine and Imaging, Surgery and Neurology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), COVID-19 diagnosis using AI (4 papers), COVID-19 Clinical Research Studies (4 papers), Mycobacterium research and diagnosis (4 papers), Long-Term Effects of COVID-19 (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), COVID-19 and healthcare impacts (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Neurology (674 citations), Critical Care and Intensive Care Medicine (188 citations), Applied Microbiology and Biotechnology (38 citations) and Behavioral Neuroscience (64 citations). Matthew Arentz has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include María Gabriela Acuña Chong, Sharukh Lokhandwala, Francis X. Riedo, Melissa Lee, Lindy S. Klaff, Alan Booth, Douglas A. Granger, Eve B. Schwartz, David Horné and Thomas R. Hawn. Their work appears in journals such as PLoS ONE, Cochrane Database of Systematic Reviews, JAMA, Radiology Artificial Intelligence and iScience.
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.