Michael Strong

4.5k total citations · 1 hit paper
95 papers, 2.8k citations indexed

About

Michael Strong is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Michael Strong has authored 95 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Epidemiology, 33 papers in Molecular Biology and 32 papers in Infectious Diseases. Recurrent topics in Michael Strong's work include Mycobacterium research and diagnosis (59 papers), Tuberculosis Research and Epidemiology (31 papers) and Infectious Diseases and Mycology (26 papers). Michael Strong is often cited by papers focused on Mycobacterium research and diagnosis (59 papers), Tuberculosis Research and Epidemiology (31 papers) and Infectious Diseases and Mycology (26 papers). Michael Strong collaborates with scholars based in United States, Canada and United Kingdom. Michael Strong's co-authors include David Eisenberg, Duilio Cascio, Martin L. Phillips, Shuishu Wang, M.R. Sawaya, L. Elaine Epperson, Rebecca M. Davidson, Nabeeh A. Hasan, George A. Gutman and K. George Chandy and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Michael Strong

89 papers receiving 2.7k 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.

Toward the structural genomics of complexes: Crystal structure of a PE/PPE protein complex from Mycobacterium tuberculosis

2006 607 citations Michael Strong, M.R. Sawaya et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Strong United States	25	1.3k	1.1k	1.1k	376	312	95	2.8k
John Samuelson United States	42	643 0.5×	1.8k 1.6×	1.4k 1.3×	211 0.6×	478 1.5×	127	4.6k
Fredj Tekaia France	31	874 0.7×	935 0.8×	1.4k 1.3×	81 0.2×	203 0.7×	61	3.3k
Ruth Bryan United States	31	629 0.5×	505 0.5×	1.6k 1.4×	64 0.2×	333 1.1×	65	3.8k
Frederick L. Schuster United States	37	438 0.3×	707 0.6×	3.1k 2.9×	140 0.4×	418 1.3×	89	5.8k
David R. Hillyard United States	41	1.1k 0.8×	913 0.8×	3.3k 3.0×	61 0.2×	229 0.7×	110	5.4k
Patricia J. Johnson United States	44	999 0.7×	632 0.6×	2.8k 2.6×	85 0.2×	423 1.4×	110	5.4k
Boris Striepen United States	55	3.7k 2.7×	1.3k 1.1×	3.2k 2.9×	196 0.5×	647 2.1×	153	9.5k
Garry T. Cole United States	44	2.9k 2.2×	2.5k 2.2×	1.8k 1.7×	267 0.7×	154 0.5×	170	6.3k
Jaap J. van Hellemond Netherlands	39	1.2k 0.9×	350 0.3×	2.2k 2.0×	216 0.6×	916 2.9×	124	4.8k
James E. Graham United States	31	988 0.7×	532 0.5×	1.6k 1.4×	32 0.1×	396 1.3×	61	5.4k

Countries citing papers authored by Michael Strong

Since Specialization

Citations

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

Fields of papers citing papers by Michael Strong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Strong

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Strong. A scholar is included among the top collaborators of Michael Strong 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 Strong. Michael Strong 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

Caceres, Silvia M., Vinicius Calado Nogueira de Moura, Michael Strong, et al.. (2025). Mycobacterium chelonae outbreak investigation at a quaternary pediatric hospital following the opening of a LEED-certified critical care tower: where does water sustainability intersect with infection control?. Infection Control and Hospital Epidemiology. 47(2). 161–169.

Epperson, L. Elaine, Reeti Khare, Michael Strong, et al.. (2025). DIAGNOSIS AND MANAGEMENT OF NONTUBERCULOUS MYCOBACTERIAL INFECTIONS IN COLD-STUNNED KEMP'S RIDLEY SEA TURTLES (LEPIDOCHELYS KEMPII ): 16 CASES (2008–2023). Journal of Zoo and Wildlife Medicine. 56(4).

Honda, Jennifer R., Arielle W. Parsons, Lin Ding, et al.. (2025). Host Environment, Genetics, and Behaviors That Contribute to Nontuberculous Mycobacterial Pulmonary Disease in Hawai'i. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7263–A7263.

Malas, Mahmoud B., Alik Farber, Matthew T. Menard, et al.. (2025). Outcomes of chronic limb-threatening ischemia revascularization in patients with chronic kidney disease in the BEST-CLI trial. Journal of Vascular Surgery. 81(4). 945–956.e3. 1 indexed citations

Epperson, L. Elaine, et al.. (2024). Evaluation of the GenoType NTM-DR line probe assay for nontuberculous mycobacteria using whole genome sequences as reference standard. Diagnostic Microbiology and Infectious Disease. 110(4). 116526–116526. 2 indexed citations

Gross, Jane E., Silvia M. Caceres, Katie R. Poch, et al.. (2024). Genomic epidemiology ofMycobacterium abscessusat an adult cystic fibrosis programme reveals low potential for healthcare-associated transmission. ERJ Open Research. 10(4). 165–2024. 2 indexed citations

Nguyen, Minh-Vu H, Nabeeh A. Hasan, Vinicius Calado Nogueira de Moura, et al.. (2024). Notes from the Field: Potential Outbreak of Extrapulmonary Mycobacterium abscessus subspecies massiliense Infections from Stem Cell Treatment Clinics in Mexico — Arizona and Colorado, 2022. MMWR Morbidity and Mortality Weekly Report. 73(18). 420–422.

Elias, Tamar, Nabeeh A. Hasan, L. Elaine Epperson, et al.. (2023). Hawaiian Volcanic Ash, an Airborne Fomite for Nontuberculous Mycobacteria. GeoHealth. 8(1). e2023GH000889–e2023GH000889. 4 indexed citations

Marras, Salvatore A. E., Liang Chen, Elena Shashkina, et al.. (2021). A Molecular-Beacon-Based Multiplex Real-Time PCR Assay To Distinguish Mycobacterium abscessus Subspecies and Determine Macrolide Susceptibility. Journal of Clinical Microbiology. 59(8). e0045521–e0045521. 13 indexed citations

10.

Ruis, Christopher, Josephine M. Bryant, Scott C. Bell, et al.. (2021). Dissemination of Mycobacterium abscessus via global transmission networks. Nature Microbiology. 6(10). 1279–1288. 60 indexed citations

11.

Davidson, Rebecca M., Nabeeh A. Hasan, L. Elaine Epperson, et al.. (2021). Population Genomics of Mycobacterium abscessus from U.S. Cystic Fibrosis Care Centers. Annals of the American Thoracic Society. 18(12). 1960–1969. 43 indexed citations

12.

Honda, Jennifer R., Tamara Hess, Pitchaimani Kandasamy, et al.. (2019). Nontuberculous Mycobacteria Show Differential Infectivity and Use Phospholipids to Antagonize LL-37. American Journal of Respiratory Cell and Molecular Biology. 62(3). 354–363. 13 indexed citations

13.

Lipner, Ettie M., Benjamin J. Garcia, & Michael Strong. (2016). Network Analysis of Human Genes Influencing Susceptibility to Mycobacterial Infections. PLoS ONE. 11(1). e0146585–e0146585. 15 indexed citations

14.

Honda, Jennifer R., Nabeeh A. Hasan, Rebecca M. Davidson, et al.. (2016). Environmental Nontuberculous Mycobacteria in the Hawaiian Islands. PLoS neglected tropical diseases. 10(10). e0005068–e0005068. 60 indexed citations

15.

Garcia, Benjamin J., Gargi Datta, Gregory P. Cosgrove, & Michael Strong. (2014). Network and matrix analysis of the respiratory disease interactome. BMC Systems Biology. 8(1). 34–34. 2 indexed citations

16.

Bowers, Peter M., Debnath Pal, Michael Strong, et al.. (2007). Functional Linkages Can Reveal Protein Complexes for Structure Determination. Structure. 15(9). 1079–1089. 3 indexed citations

17.

Strong, Michael, M.R. Sawaya, Shuishu Wang, et al.. (2006). Toward the structural genomics of complexes: Crystal structure of a PE/PPE protein complex from Mycobacterium tuberculosis. Proceedings of the National Academy of Sciences. 103(21). 8060–8065. 607 indexed citations breakdown →

18.

Rachman, Helmy, Michael Strong, Timo Ulrichs, et al.. (2006). Unique Transcriptome Signature of Mycobacterium tuberculosis in Pulmonary Tuberculosis. Infection and Immunity. 74(2). 1233–1242. 195 indexed citations

19.

Adams, Ted D., Edward M. Heath, Michael J. LaMonte, et al.. (2006). The relationship between body mass index and per cent body fat in the severely obese. Diabetes Obesity and Metabolism. 9(4). 498–505. 31 indexed citations

20.

Strong, Michael, Parag Mallick, Matteo Pellegrini, Michael J. Thompson, & David Eisenberg. (2003). Inference of protein function and protein linkages in Mycobacterium tuberculosis based on prokaryotic genome organization: a combined computational approach. Genome biology. 4(9). R59–R59. 88 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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