Matthew Arentz

4.2k total citations · 1 hit paper
20 papers, 2.0k citations indexed

About

Matthew Arentz is a scholar working on Infectious Diseases, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew Arentz has authored 20 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 9 papers in Epidemiology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew Arentz's work include Tuberculosis Research and Epidemiology (12 papers), COVID-19 Clinical Research Studies (4 papers) and COVID-19 diagnosis using AI (4 papers). Matthew Arentz is often cited by papers focused on Tuberculosis Research and Epidemiology (12 papers), COVID-19 Clinical Research Studies (4 papers) and COVID-19 diagnosis using AI (4 papers). Matthew Arentz collaborates with scholars based in United States, Switzerland and Canada. Matthew Arentz's co-authors include Melissa Lee, María Gabriela Acuña Chong, Francis X. Riedo, Lindy S. Klaff, Sharukh Lokhandwala, Alan Booth, Eve B. Schwartz, Douglas A. Granger, David Horné and Thomas R. Hawn and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Matthew Arentz

15 papers receiving 1.9k citations

Hit Papers

Characteristics and Outcomes of 21 Critically Ill Patient... 2020 2026 2022 2024 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Arentz United States 11 1.3k 674 331 302 275 20 2.0k
Yelena Chernyak United States 7 1.3k 1.0× 672 1.0× 269 0.8× 577 1.9× 221 0.8× 27 2.0k
Andree Kurniawan Indonesia 26 1.0k 0.8× 607 0.9× 206 0.6× 217 0.7× 82 0.3× 114 1.7k
Jacob Collen United States 21 641 0.5× 361 0.5× 200 0.6× 254 0.8× 288 1.0× 91 2.1k
Anna E. Ssentongo United States 15 795 0.6× 690 1.0× 163 0.5× 267 0.9× 103 0.4× 42 1.9k
Lyudmyla Kompaniyets United States 18 1.0k 0.8× 542 0.8× 199 0.6× 276 0.9× 120 0.4× 46 2.1k
Louise Sigfrid United Kingdom 21 775 0.6× 891 1.3× 306 0.9× 98 0.3× 128 0.5× 52 1.9k
Arthur Simonnet France 4 960 0.7× 549 0.8× 263 0.8× 316 1.0× 131 0.5× 7 1.5k
Daniel Munblit United Kingdom 29 773 0.6× 1.3k 1.9× 611 1.8× 109 0.4× 453 1.6× 83 3.3k
Celine Sze Ling Chui Hong Kong 28 805 0.6× 259 0.4× 245 0.7× 108 0.4× 95 0.3× 117 2.1k
Jennifer Lighter United States 18 1.2k 0.9× 488 0.7× 501 1.5× 225 0.7× 109 0.4× 49 2.1k

Countries citing papers authored by Matthew Arentz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Arentz

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Arentz. A scholar is included among the top collaborators of Matthew Arentz 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 Arentz. Matthew Arentz 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
2.
Sebastián, J., Ioana D. Olaru, Matthew Arentz, et al.. (2024). Detection of other pathologies when utilising computer-assisted digital solutions for TB screening. SHILAP Revista de lepidopterología. 1(12). 533–539.
3.
Nafade, Vaidehi, Matthew Arentz, Jacob Bigio, et al.. (2024). The value of diagnostic imaging for enhancing primary care in low- and middle-income countries. EClinicalMedicine. 77. 102899–102899.
4.
Hwang, Eui Jin, Won Gi Jeong, Pierre‐Marie David, et al.. (2024). AI for Detection of Tuberculosis: Implications for Global Health. Radiology Artificial Intelligence. 6(2). e230327–e230327. 12 indexed citations
5.
Arentz, Matthew, Jianing Ma, Peng Zheng, et al.. (2022). The impact of the COVID-19 pandemic and associated suppression measures on the burden of tuberculosis in India. BMC Infectious Diseases. 22(1). 92–92. 17 indexed citations
6.
Arlehamn, Cecilia S. Lindestam, Rebecca Kuan, Kimberly A. Dill‐McFarland, et al.. (2022). T-cell deficiency and hyperinflammatory monocyte responses associate with Mycobacterium avium complex lung disease. Frontiers in Immunology. 13. 1016038–1016038. 13 indexed citations
7.
Sinclair, Jane E., Yanshan Zhu, Gang Xu, et al.. (2021). A meta-analysis on the role of pre-existing chronic disease in the cardiac complications of SARS-CoV-2 infection. iScience. 24(4). 102264–102264. 3 indexed citations
8.
Arentz, Matthew, Lindy S. Klaff, Sharukh Lokhandwala, et al.. (2020). Characteristics and Outcomes of 21 Critically Ill Patients With COVID-19 in Washington State. JAMA. 323(16). 1612–1612. 1534 indexed citations breakdown →
10.
Arentz, Matthew, David Horné, & Judd L. Walson. (2018). Treatment of drug-resistant tuberculosis in patients with HIV-1 infection. Cochrane Database of Systematic Reviews.
11.
Horné, David, Matthew Arentz, Nguyen Duc Bang, et al.. (2015). TLR9 gene region polymorphisms and susceptibility to tuberculosis in Vietnam. Tuberculosis. 95(2). 190–196. 25 indexed citations
12.
Arentz, Matthew, Bess Sorensen, David Horné, & Judd L. Walson. (2013). Systematic Review of the Performance of Rapid Rifampicin Resistance Testing for Drug-Resistant Tuberculosis. PLoS ONE. 8(10). e76533–e76533. 29 indexed citations
13.
Horné, David, Monica Campo, Justin R. Ortiz, et al.. (2012). Association between Smoking and Latent Tuberculosis in the U.S. Population: An Analysis of the National Health and Nutrition Examination Survey. PLoS ONE. 7(11). e49050–e49050. 38 indexed citations
14.
Arentz, Matthew, Patricia B. Pavlinac, Michael E. Kimerling, et al.. (2012). Use of Anti-Retroviral Therapy in Tuberculosis Patients on Second-Line Anti-TB Regimens: A Systematic Review. PLoS ONE. 7(11). e47370–e47370. 22 indexed citations
15.
Horné, David, Lancelot Pinto, Matthew Arentz, et al.. (2012). Diagnostic Accuracy and Reproducibility of WHO-Endorsed Phenotypic Drug Susceptibility Testing Methods for First-Line and Second-Line Antituberculosis Drugs. Journal of Clinical Microbiology. 51(2). 393–401. 60 indexed citations
16.
Arentz, Matthew, David Horné, & Judd L. Walson. (2011). Treatment of drug-resistant tuberculosis in patients with HIV-1 infection. Cochrane Database of Systematic Reviews. 1 indexed citations
17.
Arentz, Matthew, Masahiro Narita, Laura Sangaré, et al.. (2011). Impact of smear microscopy results and observed therapy on tuberculosis treatment in Mombasa, Kenya. The International Journal of Tuberculosis and Lung Disease. 15(12). 1656–1663. 5 indexed citations
18.
Arentz, Matthew. (2009). Clinical Tuberculosis, 4th edition.. Respiratory Care. 54(5). 674–675. 3 indexed citations
19.
Arentz, Matthew & Thomas R. Hawn. (2007). Tuberculosis infection: Insight from immunogenomics. Drug Discovery Today Disease Mechanisms. 4(4). 231–236. 19 indexed citations
20.
Granger, Douglas A., Eve B. Schwartz, Alan Booth, & Matthew Arentz. (1999). Salivary Testosterone Determination in Studies of Child Health and Development. Hormones and Behavior. 35(1). 18–27. 207 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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