David M. Engelthaler

10.2k total citations · 1 hit paper
133 papers, 5.9k citations indexed

About

David M. Engelthaler is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, David M. Engelthaler has authored 133 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Epidemiology, 62 papers in Infectious Diseases and 31 papers in Molecular Biology. Recurrent topics in David M. Engelthaler's work include Fungal Infections and Studies (36 papers), Plant Pathogens and Fungal Diseases (21 papers) and Antifungal resistance and susceptibility (18 papers). David M. Engelthaler is often cited by papers focused on Fungal Infections and Studies (36 papers), Plant Pathogens and Fungal Diseases (21 papers) and Antifungal resistance and susceptibility (18 papers). David M. Engelthaler collaborates with scholars based in United States, Australia and South Africa. David M. Engelthaler's co-authors include Paul Keim, Elizabeth M. Driebe, Jolene R. Bowers, Chandler C. Roe, John D. Carpten, David W. Craig, Kendall Van Keuren‐Jensen, Sara A. Byron, Darrin Lemmer and James M. Schupp and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

David M. Engelthaler

126 papers receiving 5.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Translating RNA sequencing into clinical diagnostics: opportunities and challenges

2016 504 citations David M. Engelthaler et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David M. Engelthaler United States	41	2.1k	2.1k	1.8k	750	637	133	5.9k
Yasuhiko Suzuki Japan	40	1.9k 0.9×	2.1k 1.0×	2.0k 1.1×	590 0.8×	437 0.7×	316	6.7k
Anchun Cheng China	37	1.5k 0.7×	1.6k 0.8×	1.6k 0.9×	414 0.6×	598 0.9×	440	6.3k
Gary Van Domselaar Canada	37	1.1k 0.5×	1.3k 0.6×	2.6k 1.4×	486 0.6×	485 0.8×	114	5.7k
Tsuyoshi Sekizuka Japan	35	955 0.5×	2.0k 0.9×	1.2k 0.7×	679 0.9×	313 0.5×	199	4.7k
Paul H. M. Savelkoul Netherlands	47	1.5k 0.7×	1.6k 0.7×	2.4k 1.3×	2.1k 2.7×	482 0.8×	139	7.5k
Niyaz Ahmed India	45	1.9k 0.9×	1.8k 0.9×	1.3k 0.7×	1.1k 1.5×	337 0.5×	200	6.3k
Makoto Kuroda Japan	47	2.0k 1.0×	5.4k 2.5×	3.8k 2.1×	1.0k 1.3×	1.0k 1.6×	416	11.3k
Raymond Ruimy France	44	1.1k 0.5×	1.6k 0.8×	2.1k 1.1×	821 1.1×	238 0.4×	128	5.2k
Gianni Pozzi Italy	49	3.0k 1.4×	1.7k 0.8×	1.9k 1.1×	421 0.6×	552 0.9×	190	7.1k
Costi D. Sifri United States	39	992 0.5×	1.4k 0.7×	1.9k 1.0×	1.0k 1.4×	373 0.6×	118	5.3k

Countries citing papers authored by David M. Engelthaler

Since Specialization

Citations

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

Fields of papers citing papers by David M. Engelthaler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Engelthaler. 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 David M. Engelthaler. The network helps show where David M. Engelthaler may publish in the future.

Co-authorship network of co-authors of David M. Engelthaler

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Engelthaler. A scholar is included among the top collaborators of David M. Engelthaler 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 David M. Engelthaler. David M. Engelthaler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ghebrekristos, Yonas, Natalie Beylis, Megan Folkerts, et al.. (2025). Xpert MTB/RIF Ultra-resistant and MTBDR plus- susceptible rifampicin results in people with tuberculosis: utility of FluoroType MTBDR and deep sequencing. Antimicrobial Agents and Chemotherapy. 69(3). e0167124–e0167124. 1 indexed citations

Singh, Sanjay, David M. Engelthaler, Tania A. Thomas, et al.. (2025). Fluoroquinolones and rifampin combination in the backdrop of heteroresistant tuberculosis. Antimicrobial Agents and Chemotherapy. 69(2). e0108424–e0108424.

Allender, Christopher J., Candice L. Wike, W. Tanner Porter, et al.. (2024). Sequencing by binding rivals SMOR error-corrected sequencing by synthesis technology for accurate detection and quantification of minor (< 0.1%) subpopulation variants. BMC Genomics. 25(1).

Walker, Faith M., et al.. (2024). Lyssa excreta: Defining parameters for fecal samples as a rabies virus surveillance method. PLoS ONE. 19(1). e0294122–e0294122. 1 indexed citations

Klopper, Marisa, Yuri F. van der Heijden, Megan Folkerts, et al.. (2024). The Hidden Epidemic of Isoniazid-Resistant Tuberculosis in South Africa. Annals of the American Thoracic Society. 21(10). 1391–1397. 2 indexed citations

Yaglom, Hayley D., Darrin Lemmer, Elizabeth Kim, et al.. (2024). Large Clusters of Invasive emm49 Group A Streptococcus Identified Within Arizona Health Care Facilities Through Statewide Genomic Surveillance System, 2019–2021. The Journal of Infectious Diseases. 230(3). 598–605. 1 indexed citations

Bowers, Jolene R., Hayley D. Yaglom, Crystal M. Hepp, et al.. (2023). Unique Genomic Epidemiology of COVID-19 in the White Mountain Apache Tribe, April to August 2020, Arizona. mSphere. 8(2). e0065922–e0065922. 1 indexed citations

Naicker, Serisha D., Carolina Firacative, Erika van Schalkwyk, et al.. (2022). Molecular type distribution and fluconazole susceptibility of clinical Cryptococcus gattii isolates from South African laboratory-based surveillance, 2005–2013. PLoS neglected tropical diseases. 16(6). e0010448–e0010448. 3 indexed citations

Porter, W. Tanner, Erin Kelley, Jolene R. Bowers, & David M. Engelthaler. (2021). Normalization of SARS-CoV-2 viral load via RT-qPCR provides higher-resolution data for comparison across time and between patients. Virus Research. 306. 198604–198604. 4 indexed citations

10.

Walter, Katharine S., Caroline Colijn, Ted Cohen, et al.. (2020). Genomic variant-identification methods may alter Mycobacterium tuberculosis transmission inferences. Microbial Genomics. 6(8). 20 indexed citations

11.

Danesi, Patrizia, Jolene R. Bowers, David M. Engelthaler, et al.. (2019). Jet-Setting Koalas Spread Cryptococcus gattii VGII in Australia. mSphere. 4(3). 9 indexed citations

12.

Engelthaler, David M. & Arturo Casadevall. (2019). On the Emergence of Cryptococcus gattii in the Pacific Northwest: Ballast Tanks, Tsunamis, and Black Swans. mBio. 10(5). 29 indexed citations

13.

Colman, Rebecca E., Aurélien Macé, Marva Seifert, et al.. (2019). Whole-genome and targeted sequencing of drug-resistant Mycobacterium tuberculosis on the iSeq100 and MiSeq: A performance, ease-of-use, and cost evaluation. PLoS Medicine. 16(4). e1002794–e1002794. 55 indexed citations

14.

Wang, Qiao, Chawangwa Modongo, Christopher J. Allender, et al.. (2019). Utility of Targeted, Amplicon-Based Deep Sequencing To Detect Resistance to First-Line Tuberculosis Drugs in Botswana. Antimicrobial Agents and Chemotherapy. 63(11). 3 indexed citations

15.

Roe, Chandler C., Jolene R. Bowers, Hanna N. Oltean, et al.. (2018). Dating the Cryptococcus gattii Dispersal to the North American Pacific Northwest. mSphere. 3(1). 17 indexed citations

16.

Bowers, Jolene R., Elizabeth M. Driebe, Valérie Albrecht, et al.. (2018). Improved Subtyping of Staphylococcus aureus Clonal Complex 8 Strains Based on Whole-Genome Phylogenetic Analysis. mSphere. 3(3). 34 indexed citations

17.

Garner, Emily, Jean E. McLain, Jolene R. Bowers, et al.. (2018). Microbial Ecology and Water Chemistry Impact Regrowth of Opportunistic Pathogens in Full-Scale Reclaimed Water Distribution Systems. Environmental Science & Technology. 52(16). 9056–9068. 65 indexed citations

18.

Metcalfe, John, Elizabeth M. Streicher, Grant Theron, et al.. (2017). Cryptic Microheteroresistance Explains Mycobacterium tuberculosis Phenotypic Resistance. American Journal of Respiratory and Critical Care Medicine. 196(9). 1191–1201. 32 indexed citations

19.

Engelthaler, David M., Chandler C. Roe, Crystal M. Hepp, et al.. (2016). Local Population Structure and Patterns of Western Hemisphere Dispersal for Coccidioides spp., the Fungal Cause of Valley Fever. mBio. 7(2). e00550–16. 63 indexed citations

20.

Enscore, Russell E., Brad J. Biggerstaff, Pamela J. Reynolds, et al.. (2002). Modeling relationships between climate and the frequency of human plague cases in the southwestern United States, 1960-1997.. American Journal of Tropical Medicine and Hygiene. 66(2). 186–196. 136 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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