Megan Murray

21.2k total citations · 6 hit papers
215 papers, 12.3k citations indexed

About

Megan Murray is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Megan Murray has authored 215 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Infectious Diseases, 116 papers in Epidemiology and 34 papers in Surgery. Recurrent topics in Megan Murray's work include Tuberculosis Research and Epidemiology (128 papers), Mycobacterium research and diagnosis (57 papers) and Pneumocystis jirovecii pneumonia detection and treatment (35 papers). Megan Murray is often cited by papers focused on Tuberculosis Research and Epidemiology (128 papers), Mycobacterium research and diagnosis (57 papers) and Pneumocystis jirovecii pneumonia detection and treatment (35 papers). Megan Murray collaborates with scholars based in United States, Peru and United Kingdom. Megan Murray's co-authors include Christie Y. Jeon, Ted Cohen, Hsien-Ho Lin, Majid Ezzati, Caroline Colijn, A. B. Murray, Marc Lipsitch, Anil Kapur, Knut Lönnroth and Anthony Harries and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Megan Murray

206 papers receiving 11.9k citations

Hit Papers

5 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.

Diabetes Mellitus Increases the Risk of Active Tuberculosis: A Systematic Review of 13 Observational Studies

2008 1.1k citations Megan Murray et al. profile →
Transmission Dynamics and Control of Severe Acute Respiratory Syndrome

2003 1.0k citations Ted Cohen, Megan Murray et al. profile →
The impact of diabetes on tuberculosis treatment outcomes: A systematic review

2011 621 citations Megan Murray et al. profile →
Tobacco Smoke, Indoor Air Pollution and Tuberculosis: A Systematic Review and Meta-Analysis

2007 518 citations Megan Murray et al. profile →
The adverse effect of iron repletion on the course of certain infections.

1978 347 citations Megan Murray et al. profile →
Multidrug-resistant tuberculosis

2024 70 citations Megan Murray et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan Murray United States	56	7.7k	6.0k	2.6k	1.6k	1.1k	215	12.3k
Mark A. Miller United States	66	7.4k 1.0×	8.7k 1.4×	1.8k 0.7×	2.6k 1.6×	1.7k 1.5×	254	17.1k
Joseph Bresee United States	73	14.5k 1.9×	9.0k 1.5×	1.3k 0.5×	1.3k 0.8×	1.5k 1.3×	238	26.7k
Bin Cao China	48	15.7k 2.0×	5.7k 0.9×	1.2k 0.5×	2.1k 1.4×	1.4k 1.2×	308	26.7k
Wen‐Chien Ko Taiwan	62	7.7k 1.0×	6.1k 1.0×	1.3k 0.5×	2.6k 1.7×	967 0.9×	589	23.1k
Jason R. Andrews United States	52	5.8k 0.8×	3.8k 0.6×	2.3k 0.9×	615 0.4×	585 0.5×	256	10.4k
Ibrahim Abubakar United Kingdom	58	7.7k 1.0×	5.7k 0.9×	2.7k 1.0×	1.1k 0.7×	398 0.4×	356	13.1k
Ted Cohen United States	49	5.8k 0.7×	4.8k 0.8×	1.7k 0.7×	721 0.5×	1.6k 1.4×	252	10.0k
Hua Chen China	22	12.7k 1.7×	2.1k 0.4×	1.1k 0.4×	1.4k 0.9×	1.2k 1.0×	68	19.5k
Xudong Wu China	27	12.7k 1.6×	2.2k 0.4×	1.1k 0.4×	2.9k 1.9×	1.2k 1.0×	86	21.1k
John D. Clemens United States	69	6.2k 0.8×	4.4k 0.7×	785 0.3×	1.2k 0.8×	1.2k 1.1×	421	19.7k

Countries citing papers authored by Megan Murray

Since Specialization

Citations

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

Fields of papers citing papers by Megan Murray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Murray

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Luo, Yang, Nicole C. Howard, Xin Wang, et al.. (2024). Paired analysis of host and pathogen genomes identifies determinants of human tuberculosis. Nature Communications. 15(1). 10393–10393. 5 indexed citations

Brooks, Meredith B., Brittney van de Water, Leonid Lecca, et al.. (2024). Tuberculosis treatment loss to follow-up in children exposed at home: A prospective cohort study. Journal of Global Health. 14. 4194–4194. 1 indexed citations

Ofori, Sylvia K., Emmanuelle A. Dankwa, Emmanuel Ngwakongnwi, et al.. (2024). Evidence-based Decision Making: Infectious Disease Modeling Training for Policymakers in East Africa. Annals of Global Health. 90(1). 22–22. 1 indexed citations

Miyahara, Reiko, Supalert Nedsuwan, Hideki Yanai, et al.. (2023). Risk for Prison-to-Community Tuberculosis Transmission, Thailand, 2017–2020. Emerging infectious diseases. 29(3). 477–483. 4 indexed citations

Yuen, Courtney M., Chuan-Chin Huang, Róger Calderón, et al.. (2023). Utility of Mycobacterium tuberculosis Genome Sequencing Snapshots to Assess Transmission Dynamics Over Time. The Journal of Infectious Diseases. 229(5). 1493–1497. 1 indexed citations

Suliman, Sara, Lars Kjer‐Nielsen, Liyen Loh, et al.. (2022). Dual TCR-α Expression on Mucosal-Associated Invariant T Cells as a Potential Confounder of TCR Interpretation. The Journal of Immunology. 208(6). 1389–1395. 6 indexed citations

Musanabaganwa, Clarisse, Vincent K. Cubaka, Muhammed Semakula, et al.. (2021). One hundred thirty-three observed COVID-19 deaths in 10 months: unpacking lower than predicted mortality in Rwanda. BMJ Global Health. 6(2). e004547–e004547. 10 indexed citations

Nathan, Aparna, Jessica I. Beynor, Yuriy Baglaenko, et al.. (2021). Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease. Nature Immunology. 22(6). 781–793. 56 indexed citations

Fulcher, Isabel, et al.. (2021). Syndromic surveillance using monthly aggregate health systems information data: methods with application to COVID-19 in Liberia. International Journal of Epidemiology. 50(4). 1091–1102. 10 indexed citations

10.

Parrish, Nicole, et al.. (2020). A Benchtop Automated Sputum-to-Genotype System Using a Lab-on-a-Film Assembly for Detection of Multidrug-Resistant Mycobacterium tuberculosis. Analytical Chemistry. 92(7). 5311–5318. 10 indexed citations

11.

Huang, Chuan-Chin, Mercedes C. Becerra, Róger Calderón, et al.. (2020). Isoniazid Preventive Therapy in Contacts of Multidrug-Resistant Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 202(8). 1159–1168. 16 indexed citations

12.

Moss, Caitlin E., Megan K. Proulx, Clare M. Smith, et al.. (2019). Common Variants in the Glycerol Kinase Gene Reduce Tuberculosis Drug Efficacy. mBio. 10(4). 76 indexed citations

13.

Reinink, Peter, Adam Shahine, Stéphanie Gras, et al.. (2019). A TCR β-Chain Motif Biases toward Recognition of Human CD1 Proteins. The Journal of Immunology. 203(12). 3395–3406. 11 indexed citations

14.

Thomson, Dana R., Cheryl Amoroso, Sidney Atwood, et al.. (2018). Impact of a health system strengthening intervention on maternal and child health outputs and outcomes in rural Rwanda 2005–2010. BMJ Global Health. 3(2). e000674–e000674. 25 indexed citations

15.

Murray, Megan, et al.. (2018). Spatial-temporal clustering analysis of yaws on Lihir Island, Papua New Guinea to enhance planning and implementation of eradication programs. PLoS neglected tropical diseases. 12(10). e0006840–e0006840. 2 indexed citations

16.

Aibana, Omowunmi, Molly F. Franke, Chuan-Chin Huang, et al.. (2017). Impact of Vitamin A and Carotenoids on the Risk of Tuberculosis Progression. Clinical Infectious Diseases. 65(6). 900–909. 72 indexed citations

17.

Andrews, Jason R., Sanjay Basu, David W. Dowdy, & Megan Murray. (2015). [The epidemiological advantage of preferential targeting of tuberculosis control at the poor].. PubMed. 38(3). 186–94. 1 indexed citations

18.

Franke, Molly F., Hernán Del Castillo, Leonid Lecca, et al.. (2013). Modifiable Factors Associated with Tuberculosis Disease in Children. The Pediatric Infectious Disease Journal. 33(1). 109–111. 15 indexed citations

19.

Kudva, Indira T., Sandra Smole, Robert W. Griffin, et al.. (2013). Polymorphic Amplified Typing Sequences (PATS) Strain Typing System Accurately Discriminates a Set of Temporally and Spatially Disparate Escherichia coli O157 Isolates Associated with Human Infection. The Open Microbiology Journal. 7(1). 123–129. 3 indexed citations

20.

Brooks‐Pollock, Ellen, M. C. Becerra, Edward Goldstein, Ted Cohen, & Megan Murray. (2011). Epidemiologic Inference From the Distribution of Tuberculosis Cases in Households in Lima, Peru. The Journal of Infectious Diseases. 203(11). 1582–1589. 46 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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