Beverly Metchock

5.3k total citations · 1 hit paper
53 papers, 3.7k citations indexed

About

Beverly Metchock is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Beverly Metchock has authored 53 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Infectious Diseases, 41 papers in Epidemiology and 14 papers in Surgery. Recurrent topics in Beverly Metchock's work include Tuberculosis Research and Epidemiology (41 papers), Mycobacterium research and diagnosis (35 papers) and Infectious Diseases and Tuberculosis (9 papers). Beverly Metchock is often cited by papers focused on Tuberculosis Research and Epidemiology (41 papers), Mycobacterium research and diagnosis (35 papers) and Infectious Diseases and Tuberculosis (9 papers). Beverly Metchock collaborates with scholars based in United States, Belgium and Uganda. Beverly Metchock's co-authors include James E. Posey, Gerald H. Mazurek, Michael F. Iademarco, John Jereb, Andrew Vernon, Glenn P. Morlock, Thomas M. Shinnick, David Sikes, C. Robert Horsburgh and Jack T. Crawford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Beverly Metchock

53 papers receiving 3.5k 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.

Guidelines for Using the QuantiFERON-TB Gold Test for Detecting Mycobacterium tuberculosis Infection, United States

2005 539 citations Gerald H. Mazurek, Beverly Metchock et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beverly Metchock United States	28	3.0k	2.6k	1.3k	589	475	53	3.7k
Camilla Rodrigues India	37	4.5k 1.5×	3.7k 1.4×	2.2k 1.7×	734 1.2×	868 1.8×	179	5.9k
Miriam Bobadilla-del-Valle Mexico	29	1.6k 0.5×	1.5k 0.6×	734 0.6×	295 0.5×	382 0.8×	95	2.5k
Vishwa Mohan Katoch India	31	2.1k 0.7×	1.7k 0.7×	737 0.6×	676 1.1×	245 0.5×	94	2.8k
Sven Hoffner Sweden	32	2.7k 0.9×	2.4k 0.9×	1.0k 0.8×	556 0.9×	356 0.7×	81	3.0k
Pablo Bifani United States	36	4.1k 1.4×	3.7k 1.4×	1.9k 1.6×	1.1k 1.9×	377 0.8×	83	5.0k
Max Salfinger United States	38	4.3k 1.4×	4.1k 1.6×	1.8k 1.5×	723 1.2×	470 1.0×	113	5.7k
J O Kilburn United States	30	3.3k 1.1×	3.2k 1.2×	1.1k 0.9×	889 1.5×	279 0.6×	52	4.6k
Thomas Schön Sweden	30	2.2k 0.7×	1.7k 0.7×	611 0.5×	446 0.8×	253 0.5×	121	2.9k
Audrey Wanger United States	33	2.1k 0.7×	1.6k 0.6×	414 0.3×	488 0.8×	736 1.5×	91	3.2k
Justin O’Grady United Kingdom	33	1.5k 0.5×	1.7k 0.6×	854 0.7×	1.2k 2.0×	425 0.9×	104	4.1k

Countries citing papers authored by Beverly Metchock

Since Specialization

Citations

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

Fields of papers citing papers by Beverly Metchock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beverly Metchock

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

Price, Sandy F., Swapna Abhyankar, Tanya A. Halse, et al.. (2020). Towards Unified Data Exchange Formats for Reporting Molecular Drug Susceptibility Testing. Online Journal of Public Health Informatics. 12(2). e14–e14. 1 indexed citations

Dalton, Tracy, Matthew Ezewudo, Lauren S. Cowan, et al.. (2018). Validation of Novel Mycobacterium tuberculosis Isoniazid Resistance Mutations Not Detectable by Common Molecular Tests. Antimicrobial Agents and Chemotherapy. 62(10). 28 indexed citations

Yakrus, Mitchell A., et al.. (2016). Molecular and Growth-Based Drug Susceptibility Testing ofMycobacterium tuberculosisComplex for Ethambutol Resistance in the United States. SHILAP Revista de lepidopterología. 2016. 1–5. 13 indexed citations

Luetkemeyer, Anne F., Cynthia Firnhaber, Michelle A. Kendall, et al.. (2016). Evaluation of Xpert MTB/RIF Versus AFB Smear and Culture to Identify Pulmonary Tuberculosis in Patients With Suspected Tuberculosis From Low and Higher Prevalence Settings. Clinical Infectious Diseases. 62(9). 1081–1088. 58 indexed citations

Kaniga, Koné, Daniela María Cirillo, Sven Hoffner, et al.. (2016). A Multilaboratory, Multicountry Study To Determine Bedaquiline MIC Quality Control Ranges for Phenotypic Drug Susceptibility Testing. Journal of Clinical Microbiology. 54(12). 2956–2962. 35 indexed citations

Willby, Melisa J., et al.. (2015). Correlation between GyrA Substitutions and Ofloxacin, Levofloxacin, and Moxifloxacin Cross-Resistance in Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 59(9). 5427–5434. 39 indexed citations

Yakrus, Mitchell A., Beverly Metchock, & Angela M. Starks. (2015). Evaluation of a U.S. Public Health Laboratory Service for the Molecular Detection of Drug Resistant Tuberculosis. SHILAP Revista de lepidopterología. 2015. 1–7. 4 indexed citations

Kurbatova, Ekaterina V., Joseph S. Cavanaugh, N. Sarita Shah, et al.. (2012). Rifampicin-resistant <I>Mycobacterium tuberculosis</I>: susceptibility to isoniazid and other anti-tuberculosis drugs [Short communication]. The International Journal of Tuberculosis and Lung Disease. 16(3). 355–357. 29 indexed citations

Kalokhe, Ameeta S., James Lee, Susan M. Ray, et al.. (2012). Multidrug-Resistant Tuberculosis Drug Susceptibility and Molecular Diagnostic Testing. The American Journal of the Medical Sciences. 345(2). 143–148. 40 indexed citations

10.

Kenzie, William R. Mac, Charles M. Heilig, Lorna Bozeman, et al.. (2011). Geographic Differences in Time to Culture Conversion in Liquid Media: Tuberculosis Trials Consortium Study 28. Culture Conversion Is Delayed in Africa. PLoS ONE. 6(4). e18358–e18358. 26 indexed citations

11.

Bozeman, Lorna, W. J. Burman, Beverly Metchock, Lindsay Welch, & Marc Weiner. (2005). Fluoroquinolone Susceptibility among Mycobacterium tuberculosis Isolates from the United States and Canada. Clinical Infectious Diseases. 40(3). 386–391. 51 indexed citations

12.

Jasmer, Robert M., Lorna Bozeman, Kevin Schwartzman, et al.. (2004). Recurrent Tuberculosis in the United States and Canada. American Journal of Respiratory and Critical Care Medicine. 170(12). 1360–1366. 105 indexed citations

13.

Webb, Risa M., Alyssa Robillard, Lois Diem, et al.. (2003). Transmission of Mycobacterium Tuberculosis Associated with Failed Completion of Treatment for Latent Tuberculosis Infection - Chickasaw County, Mississippi, June 1999-March 2002. MMWR Morbidity and Mortality Weekly Report. 52(11). 222. 13 indexed citations

14.

Sotir, Mark J., Beverly Metchock, Naomi Bock, et al.. (1999). Tuberculosis in the Inner City: Impact of a Continuing Epidemic in the 1990s. Clinical Infectious Diseases. 29(5). 1138–1144. 21 indexed citations

15.

Herwaldt, Loreen A., John E. McGowan, & Beverly Metchock. (1996). Basic Microbiologic Support for Hospital Epidemiology. Infection Control and Hospital Epidemiology. 17(5). 298–303. 17 indexed citations

16.

Berkowitz, Frank E. & Beverly Metchock. (1995). Third generation cephalosporin-resistant Gram-negative bacilli in the feces of hospitalized children. The Pediatric Infectious Disease Journal. 14(2). 97–99. 20 indexed citations

17.

Horsburgh, C. Robert, Beverly Metchock, S. M. Gordon, et al.. (1994). Predictors Of Survival In Patients With Aids And Disseminated Mycobacterium Avium Complex Disease. The Journal of Infectious Diseases. 170(3). 573–577. 55 indexed citations

18.

Gordon, Steven, C. Robert Horsburgh, Charles A. Peloquin, et al.. (1993). Low Serum Levels of Oral Antimycobacterial Agents in Patients with Disseminated Mycobacterium avium Complex Disease. The Journal of Infectious Diseases. 168(6). 1559–1562. 54 indexed citations

19.

Havlik, J. A., Beverly Metchock, Suzanne Thompson, et al.. (1993). A Prospective Evaluation of Mycobacterium avium Complex Colonization of the Respiratory and Gastrointestinal Tracts of Persons with Human Immunodeficiency Virus Infection. The Journal of Infectious Diseases. 168(4). 1045–1048. 30 indexed citations

20.

Havlik, J. A., et al.. (1992). Disseminated Mycobacterium avium Complex Infection: Clinical Identification and Epidemiologic Trends. The Journal of Infectious Diseases. 165(3). 577–580. 135 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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