Luke T. Daum

2.9k total citations · 1 hit paper
32 papers, 2.3k citations indexed

About

Luke T. Daum is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Luke T. Daum has authored 32 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 18 papers in Infectious Diseases and 9 papers in Molecular Biology. Recurrent topics in Luke T. Daum's work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (12 papers) and Mycobacterium research and diagnosis (11 papers). Luke T. Daum is often cited by papers focused on Influenza Virus Research Studies (13 papers), Respiratory viral infections research (12 papers) and Mycobacterium research and diagnosis (11 papers). Luke T. Daum collaborates with scholars based in United States, South Africa and Ukraine. Luke T. Daum's co-authors include Kenton L. Lohman, Thomas J. Myers, Leslie L. Bulaga, Erica Spackman, Lindsey Garber, Dennis A. Senne, David L. Suarez, Michael L. Perdue, G. Fischer and James P. Chambers and has published in prestigious journals such as Genome Research, Journal of Clinical Microbiology and Emerging infectious diseases.

In The Last Decade

Luke T. Daum

30 papers receiving 2.2k citations

Hit Papers

Development of a Real-Time Reverse Transcriptase PCR Assa... 2002 2026 2010 2018 2002 400 800 1.2k

Peers

Luke T. Daum
Kenton L. Lohman United States
Haan Woo Sung South Korea
Marie Gramer United States
In-Pil Mo South Korea
Leslie L. Bulaga United States
Elke Starick Germany
Jill Banks United Kingdom
Amelia R. Woolums United States
Kenton L. Lohman United States
Luke T. Daum
Citations per year, relative to Luke T. Daum Luke T. Daum (= 1×) peers Kenton L. Lohman

Countries citing papers authored by Luke T. Daum

Since Specialization
Citations

This map shows the geographic impact of Luke T. Daum'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 Luke T. Daum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke T. Daum more than expected).

Fields of papers citing papers by Luke T. Daum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke T. Daum. 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 Luke T. Daum. The network helps show where Luke T. Daum may publish in the future.

Co-authorship network of co-authors of Luke T. Daum

This figure shows the co-authorship network connecting the top 25 collaborators of Luke T. Daum. A scholar is included among the top collaborators of Luke T. Daum 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 Luke T. Daum. Luke T. Daum 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.
Maningi, Nontuthuko Excellent, Luke T. Daum, Remco P. H. Peters, et al.. (2018). Multi- and Extensively Drug Resistant Mycobacterium tuberculosis in South Africa: a Molecular Analysis of Historical Isolates. Journal of Clinical Microbiology. 56(5). 17 indexed citations
3.
Daum, Luke T., P. Bernard Fourie, Remco P. H. Peters, et al.. (2016). Xpert<SUP>®</SUP> MTB/RIF detection of <I>Mycobacterium tuberculosis</I> from sputum collected in molecular transport medium. The International Journal of Tuberculosis and Lung Disease. 20(8). 1118–1124. 8 indexed citations
4.
Daum, Luke T., Remco P. H. Peters, P. Bernard Fourie, et al.. (2015). Molecular detection of <I>Mycobacterium tuberculosis</I> from sputum transported in PrimeStore<SUP>®</SUP> from rural settings. The International Journal of Tuberculosis and Lung Disease. 19(5). 552–557. 12 indexed citations
5.
Daum, Luke T., et al.. (2014). A molecular transport medium for collection, inactivation, transport, and detection of <I>Mycobacterium tuberculosis</I>. The International Journal of Tuberculosis and Lung Disease. 18(7). 847–849. 17 indexed citations
6.
Daum, Luke T., G. Fischer, Manjeet Khubbar, et al.. (2013). Characterization of multi-drug resistantMycobacterium tuberculosisfrom immigrants residing in the USA using Ion Torrent full-gene sequencing. Epidemiology and Infection. 142(6). 1328–1333. 17 indexed citations
7.
Sutter, Deena, et al.. (2012). Performance of five FDA‐approved rapid antigen tests in the detection of 2009 H1N1 influenza A virus. Journal of Medical Virology. 84(11). 1699–1702. 17 indexed citations
8.
Daum, Luke T., Nazir Ismail, Shaheed Vally Omar, et al.. (2012). Next-Generation Ion Torrent Sequencing of Drug Resistance Mutations in Mycobacterium tuberculosis Strains. Journal of Clinical Microbiology. 50(12). 3831–3837. 56 indexed citations
9.
Daum, Luke T., et al.. (2010). A clinical specimen collection and transport medium for molecular diagnostic and genomic applications. Epidemiology and Infection. 139(11). 1764–1773. 34 indexed citations
10.
Daum, Luke T., et al.. (2007). Real‐time RT‐PCR assays for type and subtype detection of influenza A and B viruses. Influenza and Other Respiratory Viruses. 1(4). 167–175. 35 indexed citations
11.
Lin, Baochuan, Zheng Wang, Gary J. Vora, et al.. (2006). Broad-spectrum respiratory tract pathogen identification using resequencing DNA microarrays. Genome Research. 16(4). 527–535. 106 indexed citations
12.
Daum, Luke T., Alexander Klimov, Michael W. Shaw, et al.. (2006). Molecular analysis of isolates from influenza B outbreaks in the U.S. and Nepal, 2005. Archives of Virology. 151(9). 1863–1874. 8 indexed citations
13.
Wang, Zheng, Luke T. Daum, Gary J. Vora, et al.. (2006). Identifying Influenza Viruses with Resequencing Microarrays. Emerging infectious diseases. 12(4). 638–646. 54 indexed citations
14.
Royall, Donald R., et al.. (2005). Amplification of Herpes simplex type 1 and Human Herpes type 5 viral DNA from formalin-fixed Alzheimer brain tissue. Neuroscience Letters. 390(1). 37–41. 10 indexed citations
15.
Krafft, Amy E., Kevin L. Russell, Anthony W. Hawksworth, et al.. (2005). Evaluation of PCR Testing of Ethanol-Fixed Nasal Swab Specimens as an Augmented Surveillance Strategy for Influenza Virus and Adenovirus Identification. Journal of Clinical Microbiology. 43(4). 1768–1775. 60 indexed citations
16.
Russell, Kevin L., Margaret A. K. Ryan, Anthony W. Hawksworth, et al.. (2004). Effectiveness of the 2003–2004 influenza vaccine among U.S. military basic trainees: a year of suboptimal match between vaccine and circulating strain. Vaccine. 23(16). 1981–1985. 23 indexed citations
17.
Daum, Luke T., Keying Ye, James P. Chambers, et al.. (2004). Comparison of TaqMan™ and Epoch Dark Quenchers™ during real-time reverse transcription PCR. Molecular and Cellular Probes. 18(3). 207–209. 8 indexed citations
18.
Spackman, Erica, Dennis A. Senne, Leslie L. Bulaga, et al.. (2003). Development of Real-Time RT-PCR for the Detection of Avian Influenza Virus. Avian Diseases. 47(s3). 1079–1082. 189 indexed citations
19.
Daum, Luke T., et al.. (2002). A rapid, single-step multiplex reverse transcription-PCR assay for the detection of human H1N1, H3N2, and B influenza viruses. Journal of Clinical Virology. 25(3). 345–350. 15 indexed citations
20.
Daum, Luke T., et al.. (2002). Genetic and Antigenic Analysis of the First A/New Caledonia/20/99-like H1N1 Influenza Isolates Reported in the Americas. Emerging infectious diseases. 8(4). 408–412. 22 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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