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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Frequent transmission of the Mycobacterium tuberculosis Beijing lineage and positive selection for the EsxW Beijing variant in Vietnam
Kathryn E. Holt, Paul R. McAdam, Phan Vuong Khac Thai, et al.
Nature Genetics (2018) Vol. 50, Iss. 6, pp. 849-856
Open Access | Times Cited: 195

Showing 1-25 of 195 citing articles:

DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations
Carlos H. M. Rodrigues, Douglas E. V. Pires, David B. Ascher
Protein Science (2020) Vol. 30, Iss. 1, pp. 60-69
Open Access | Times Cited: 404
Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues
Conor J. Meehan, Galo A. Goig, Thomas A. Kohl, et al.
Nature Reviews Microbiology (2019) Vol. 17, Iss. 9, pp. 533-545
Open Access | Times Cited: 338
Identifying and Interrupting Superspreading Events—Implications for Control of Severe Acute Respiratory Syndrome Coronavirus 2
Thomas R. Frieden, Christopher T. Lee
Emerging infectious diseases (2020) Vol. 26, Iss. 6, pp. 1059-1066
Open Access | Times Cited: 292
Clinically prevalent mutations in Mycobacterium tuberculosis alter propionate metabolism and mediate multidrug tolerance
Nathan Hicks, Jian Yang, Xiao‐Bing Zhang, et al.
Nature Microbiology (2018) Vol. 3, Iss. 9, pp. 1032-1042
Open Access | Times Cited: 164
Host-pathogen genetic interactions underlie tuberculosis susceptibility in genetically diverse mice
Clare M. Smith, Richard E. Baker, Megan K. Proulx, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 84
The molecular clock of Mycobacterium tuberculosis
Fabrizio Menardo, Sebastián Duchêne, Daniela Brites, et al.
PLoS Pathogens (2019) Vol. 15, Iss. 9, pp. e1008067-e1008067
Open Access | Times Cited: 143
Xpert MTB/RIF Ultra versus Xpert MTB/RIF for the diagnosis of tuberculous meningitis: a prospective, randomised, diagnostic accuracy study
Joseph Donovan, Do Dang Anh Thu, Nguyen Hoan Phu, et al.
The Lancet Infectious Diseases (2020) Vol. 20, Iss. 3, pp. 299-307
Open Access | Times Cited: 128
China’s tuberculosis epidemic stems from historical expansion of four strains of Mycobacterium tuberculosis
Qingyun Liu, Aijing Ma, Lan‐Hai Wei, et al.
Nature Ecology & Evolution (2018) Vol. 2, Iss. 12, pp. 1982-1992
Open Access | Times Cited: 113
Population structure, biogeography and transmissibility of Mycobacterium tuberculosis
Luca Freschi, Roger Vargas, Ashaque Husain, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 101
Lineage specific histories of Mycobacterium tuberculosis dispersal in Africa and Eurasia
Mary B. O’Neill, Abigail C. Shockey, Alex Zarley, et al.
Molecular Ecology (2019) Vol. 28, Iss. 13, pp. 3241-3256
Open Access | Times Cited: 95
Global variation in bacterial strains that cause tuberculosis disease: a systematic review and meta-analysis
Kirsten E. Wiens, Lauren Woyczynski, Jorge R Ledesma, et al.
BMC Medicine (2018) Vol. 16, Iss. 1
Open Access | Times Cited: 92
The Wonder Years: What Can Primary School Children Teach Us About Immunity to Mycobacterium tuberculosis?
James A. Seddon, Silvia S. Chiang, Hanif Esmail, et al.
Frontiers in Immunology (2018) Vol. 9
Open Access | Times Cited: 91
Toward a Phage Cocktail for Tuberculosis: Susceptibility and Tuberculocidal Action of Mycobacteriophages against Diverse Mycobacterium tuberculosis Strains
Carlos A. Guerrero-Bustamante, Rebekah M. Dedrick, Rebecca A. Garlena, et al.
mBio (2021) Vol. 12, Iss. 3
Open Access | Times Cited: 89
New insights into the mycobacterial PE and PPE proteins provide a framework for future research
Louis S. Ates
Molecular Microbiology (2019) Vol. 113, Iss. 1, pp. 4-21
Open Access | Times Cited: 87
ThermoMutDB: a thermodynamic database for missense mutations
Joicymara S. Xavier, Thanh Nguyen, Malancha Karmarkar, et al.
Nucleic Acids Research (2020) Vol. 49, Iss. D1, pp. D475-D479
Open Access | Times Cited: 82
mCSM-membrane: predicting the effects of mutations on transmembrane proteins
Douglas E. V. Pires, Carlos H. M. Rodrigues, David B. Ascher
Nucleic Acids Research (2020) Vol. 48, Iss. W1, pp. W147-W153
Open Access | Times Cited: 79
mmCSM-PPI: predicting the effects of multiple point mutations on protein–protein interactions
Carlos H. M. Rodrigues, Douglas E. V. Pires, David B. Ascher
Nucleic Acids Research (2021) Vol. 49, Iss. W1, pp. W417-W424
Open Access | Times Cited: 63
An ancestral mycobacterial effector promotes dissemination of infection
Joseph W. Saelens, Mollie I. Sweeney, Gopinath Viswanathan, et al.
Cell (2022) Vol. 185, Iss. 24, pp. 4507-4525.e18
Open Access | Times Cited: 41
Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strains
Sydney Stanley, Caitlin N Spaulding, Qingyun Liu, et al.
The Lancet Microbe (2024) Vol. 5, Iss. 6, pp. e570-e580
Open Access | Times Cited: 14
Understanding Mycobacterium tuberculosis through its genomic diversity and evolution
Mollie I. Sweeney, Claudia Carranza, David M. Tobin
PLoS Pathogens (2025) Vol. 21, Iss. 2, pp. e1012956-e1012956
Open Access | Times Cited: 1
Genomic determinants of speciation and spread of the Mycobacterium tuberculosis complex
Álvaro Chiner‐Oms, Leonor Sánchez-Busó, Jukka Corander, et al.
Science Advances (2019) Vol. 5, Iss. 6
Open Access | Times Cited: 75
Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning
Arun Prasad Pandurangan, Tom L. Blundell
Protein Science (2019) Vol. 29, Iss. 1, pp. 247-257
Open Access | Times Cited: 75
mCSM-AB2: guiding rational antibody design using graph-based signatures
Yoochan Myung, Carlos H. M. Rodrigues, David B. Ascher, et al.
Bioinformatics (2019) Vol. 36, Iss. 5, pp. 1453-1459
Closed Access | Times Cited: 65
Structure guided prediction of Pyrazinamide resistance mutations in pncA
Malancha Karmakar, Carlos H. M. Rodrigues, Kristy Horan, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 64
Empirical ways to identify novel Bedaquiline resistance mutations in AtpE
Malancha Karmakar, Carlos H. M. Rodrigues, Kathryn E. Holt, et al.
PLoS ONE (2019) Vol. 14, Iss. 5, pp. e0217169-e0217169
Open Access | Times Cited: 62
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