Michael Pentella

1.0k total citations
31 papers, 588 citations indexed

About

Michael Pentella is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Michael Pentella has authored 31 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 10 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Michael Pentella's work include Bacillus and Francisella bacterial research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and SARS-CoV-2 detection and testing (5 papers). Michael Pentella is often cited by papers focused on Bacillus and Francisella bacterial research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and SARS-CoV-2 detection and testing (5 papers). Michael Pentella collaborates with scholars based in United States, India and Germany. Michael Pentella's co-authors include Elizabeth Weirich, Kimberle C. Chapin, Lynne S. Garcia, Anne Pollock, Daniel S. Shapiro, Larry D. Gray, DANNY L. WIEDBRAUK, Timothy V. Baszler, R. A. Carey and Davise H. Larone and has published in prestigious journals such as Clinical Microbiology Reviews, Clinical Infectious Diseases and American Journal of Epidemiology.

In The Last Decade

Michael Pentella

27 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pentella United States 14 202 181 81 65 65 31 588
Chin-Hui Yang Taiwan 15 340 1.7× 424 2.3× 32 0.4× 19 0.3× 40 0.6× 45 683
Jeffrey Kriseman United States 6 218 1.1× 229 1.3× 34 0.4× 81 1.2× 190 2.9× 8 938
Patricia T. Campbell Australia 14 355 1.8× 253 1.4× 28 0.3× 64 1.0× 159 2.4× 54 921
Michal Bromberg Israel 13 235 1.2× 197 1.1× 47 0.6× 10 0.2× 119 1.8× 45 658
Juan Carlos Sanz Spain 22 330 1.6× 932 5.1× 68 0.8× 55 0.8× 135 2.1× 129 1.5k
Liuqing Yang China 15 310 1.5× 254 1.4× 56 0.7× 61 0.9× 39 0.6× 69 864
Elizabeth Watts United States 12 79 0.4× 203 1.1× 52 0.6× 11 0.2× 49 0.8× 29 558
Chen‐Long Lv China 11 182 0.9× 141 0.8× 43 0.5× 30 0.5× 95 1.5× 36 498
Reena H. Doshi United States 17 226 1.1× 398 2.2× 151 1.9× 13 0.2× 96 1.5× 51 843
Aslınur Özkaya Parlakay Türkiye 16 381 1.9× 253 1.4× 54 0.7× 14 0.2× 91 1.4× 114 786

Countries citing papers authored by Michael Pentella

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pentella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pentella

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pentella. A scholar is included among the top collaborators of Michael Pentella 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 Michael Pentella. Michael Pentella 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.
Reeb, Valérie, Piyali Chatterjee, Jinhua Xiang, et al.. (2025). Direct comparison of clear DX Nanopore and Illumina sequencing of SARS-CoV-2. Microbiology Spectrum. 13(9). e0042725–e0042725. 1 indexed citations
4.
Zhu, Jinhui, et al.. (2023). Evaluation of a Sample-to-Result POCKIT Central SARS-CoV-2 PCR System. Diagnostics. 13(13). 2219–2219.
5.
Pentella, Michael, et al.. (2023). A Laboratory-Developed Assay for Clade II Human Mpox Virus on the Panther Fusion Open Access System. The Journal of Infectious Diseases. 229(Supplement_2). S132–S136. 1 indexed citations
6.
Cornish, Nancy E., Nancy Anderson, Matthew J. Arduino, et al.. (2021). Clinical Laboratory Biosafety Gaps: Lessons Learned from Past Outbreaks Reveal a Path to a Safer Future. Clinical Microbiology Reviews. 34(3). e0012618–e0012618. 22 indexed citations
7.
Pentella, Michael, Melvin P. Weinstein, Susan E. Beekmann, Philip M. Polgreen, & Richard T. Ellison. (2020). Impact of Changes in Clinical Microbiology Laboratory Location and Ownership on the Practice of Infectious Diseases. Journal of Clinical Microbiology. 58(5). 9 indexed citations
8.
Theel, Elitza S., Marc Roger Couturier, Laura Filkins, et al.. (2020). Application, Verification, and Implementation of SARS-CoV-2 Serologic Assays with Emergency Use Authorization. Journal of Clinical Microbiology. 59(1). 16 indexed citations
9.
Pentella, Michael. (2020). Update on Biosafety and Emerging Infections for the Clinical Microbiology Laboratory. Clinics in Laboratory Medicine. 40(4). 473–482. 4 indexed citations
10.
Toney, Denise, et al.. (2020). Creating a Blueprint for the Future: Lessons Learned From Public Health Laboratories in the COVID-19 Response. Journal of Public Health Management and Practice. 27(Supplement 1). S101–S105. 8 indexed citations
11.
Nasrullah, Muazzam, Laura G. Wesolowski, Steven F. Ethridge, et al.. (2016). Acute infections, cost and time to reporting of HIV test results in three U.S. State Public Health Laboratories. Journal of Infection. 73(2). 164–172. 5 indexed citations
12.
Pentella, Michael, et al.. (2013). Use of the Abbott Architect HIV antigen/antibody assay in a low incidence population. Journal of Clinical Virology. 58. e76–e78. 14 indexed citations
13.
Hutchinson, Angela B., Steven F. Ethridge, Laura G. Wesolowski, et al.. (2013). Costs and outcomes of laboratory diagnostic algorithms for the detection of HIV. Journal of Clinical Virology. 58. e2–e7. 17 indexed citations
14.
Polgreen, Philip M., JonDavid Sparks, Linnea A. Polgreen, et al.. (2011). A statewide outbreak of Cryptosporidium and its association with the distribution of public swimming pools. Epidemiology and Infection. 140(8). 1439–1445. 12 indexed citations
15.
Harmon, Karen M., Leslie P. Bower, Won‐Il Kim, Michael Pentella, & Kyoung‐Jin Yoon. (2010). A matrix gene–based multiplex real‐time RT‐PCR for detection and differentiation of 2009 pandemic H1N1 and other influenza A viruses in North America. Influenza and Other Respiratory Viruses. 4(6). 405–410. 19 indexed citations
16.
Harris, Meghan L., Kenneth Soyemi, Dennis Klein, et al.. (2010). Recent Iowa Trends in Sudden Unexpected Infant Deaths. American Journal of Forensic Medicine & Pathology. 33(2). 113–118. 3 indexed citations
17.
Polgreen, Philip M., Zhen Chen, Alberto M. Segre, et al.. (2009). Optimizing Influenza Sentinel Surveillance at the State Level. American Journal of Epidemiology. 170(10). 1300–1306. 30 indexed citations
18.
Polgreen, Philip M., et al.. (2009). A spatial analysis of the spread of mumps: the importance of college students and their spring-break-associated travel. Epidemiology and Infection. 138(3). 434–441. 12 indexed citations
19.
Polgreen, Philip M., Joseph E. Cavanaugh, Lucy E. DesJardin, et al.. (2008). The Duration of Mumps Virus Shedding after the Onset of Symptoms. Clinical Infectious Diseases. 46(9). 1447–1449. 22 indexed citations
20.
Boddicker, Jennifer D., Paul A. Rota, Kimberly B. Hummel, et al.. (2007). Real-Time Reverse Transcription-PCR Assay for Detection of Mumps Virus RNA in Clinical Specimens. Journal of Clinical Microbiology. 45(9). 2902–2908. 45 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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