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:

Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging
Özden Baltekin, Alexis Boucharin, Eva Tano, et al.
Proceedings of the National Academy of Sciences (2017) Vol. 114, Iss. 34, pp. 9170-9175
Open Access | Times Cited: 349

Showing 1-25 of 349 citing articles:

Sequencing-based methods and resources to study antimicrobial resistance
Manish Boolchandani, Alaric W. D’Souza, Gautam Dantas
Nature Reviews Genetics (2019)
Open Access | Times Cited: 435

Mechanisms and clinical relevance of bacterial heteroresistance
Dan I. Andersson, Hervé Nicoloff, Karin Hjort
Nature Reviews Microbiology (2019) Vol. 17, Iss. 8, pp. 479-496
Closed Access | Times Cited: 362

Innovative and rapid antimicrobial susceptibility testing systems
Alex van Belkum, Carey‐Ann D. Burnham, John W. A. Rossen, et al.
Nature Reviews Microbiology (2020) Vol. 18, Iss. 5, pp. 299-311
Open Access | Times Cited: 259

Rapid pathogen-specific phenotypic antibiotic susceptibility testing using digital LAMP quantification in clinical samples
Nathan G. Schoepp, Travis S. Schlappi, Matthew S. Curtis, et al.
Science Translational Medicine (2017) Vol. 9, Iss. 410
Open Access | Times Cited: 213

An outlook on microfluidics: the promise and the challenge
Sarah Battat, David A. Weitz, George M. Whitesides
Lab on a Chip (2022) Vol. 22, Iss. 3, pp. 530-536
Closed Access | Times Cited: 204

Antibiotic resistance: turning evolutionary principles into clinical reality
Dan I. Andersson, Nathalie Q. Balaban, Fernando Baquero, et al.
FEMS Microbiology Reviews (2020) Vol. 44, Iss. 2, pp. 171-188
Open Access | Times Cited: 199

Kinetics of dCas9 target search in Escherichia coli
Daniel Jones, Prune Leroy, Cecilia Unoson, et al.
Science (2017) Vol. 357, Iss. 6358, pp. 1420-1424
Open Access | Times Cited: 181

Fast bacterial growth reduces antibiotic accumulation and efficacy
Urszula Łapińska, Margaritis Voliotis, Ka Kiu Lee, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 65

SERS‐Based Biosensors Combined with Machine Learning for Medical Application**
Yan Ding, Yang Sun, Cheng Liu, et al.
ChemistryOpen (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 40

Microfluidic systems for infectious disease diagnostics
Thomas Lehnert, Martin A. M. Gijs
Lab on a Chip (2024) Vol. 24, Iss. 5, pp. 1441-1493
Open Access | Times Cited: 12

Identification and Antibiotic‐Susceptibility Profiling of Infectious Bacterial Agents: A Review of Current and Future Trends
Gaetano Maugeri, Iana Lychko, Rita G. Sobral, et al.
Biotechnology Journal (2018) Vol. 14, Iss. 1
Open Access | Times Cited: 130

Towards precision medicine in sepsis: a position paper from the European Society of Clinical Microbiology and Infectious Diseases
Jordi Rello, Tjitske S. R. van Engelen, Emine Alp, et al.
Clinical Microbiology and Infection (2018) Vol. 24, Iss. 12, pp. 1264-1272
Open Access | Times Cited: 122

Adaptable microfluidic system for single-cell pathogen classification and antimicrobial susceptibility testing
Hui Li, Peter Torab, Kathleen E. Mach, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 21, pp. 10270-10279
Open Access | Times Cited: 122

A fast impedance-based antimicrobial susceptibility test
Daniel Spencer, Teagan F. Paton, Kieran T. Mulroney, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 122

Rapid Antibiotic Susceptibility Testing of Pathogenic Bacteria Using Heavy-Water-Labeled Single-Cell Raman Spectroscopy in Clinical Samples
Kai Yang, Hong-Zhe Li, Xuan Zhu, et al.
Analytical Chemistry (2019) Vol. 91, Iss. 9, pp. 6296-6303
Closed Access | Times Cited: 117

Emerging technologies for antibiotic susceptibility testing
Bhagaban Behera, G. K. Anil Vishnu, Suman Chatterjee, et al.
Biosensors and Bioelectronics (2019) Vol. 142, pp. 111552-111552
Open Access | Times Cited: 107

Recent Advances in the Race to Design a Rapid Diagnostic Test for Antimicrobial Resistance
Heidi Leonard, Raul Colodner, Sarel Halachmi, et al.
ACS Sensors (2018) Vol. 3, Iss. 11, pp. 2202-2217
Closed Access | Times Cited: 106

Deep Learning Analysis of Vibrational Spectra of Bacterial Lysate for Rapid Antimicrobial Susceptibility Testing
William John Thrift, Sasha Ronaghi, Muntaha Samad, et al.
ACS Nano (2020) Vol. 14, Iss. 11, pp. 15336-15348
Closed Access | Times Cited: 105

Rapid Methods for Antimicrobial Resistance Diagnostics
Georgia D. Kaprou, Ieva Bergšpica, Elena A. Alexa, et al.
Antibiotics (2021) Vol. 10, Iss. 2, pp. 209-209
Open Access | Times Cited: 97

Focusing of sub-micrometer particles in microfluidic devices
Tianlong Zhang, Zhen-Yi Hong, Shi‐Yang Tang, et al.
Lab on a Chip (2019) Vol. 20, Iss. 1, pp. 35-53
Closed Access | Times Cited: 94

Recent and emerging technologies for the rapid diagnosis of infection and antimicrobial resistance
Alexander J. Trotter, Alp Aydin, Michael J. Strinden, et al.
Current Opinion in Microbiology (2019) Vol. 51, pp. 39-45
Closed Access | Times Cited: 87

Biomarkers of Infection and Sepsis
Steven M. Opal, Xavier Wittebole
Critical Care Clinics (2019) Vol. 36, Iss. 1, pp. 11-22
Closed Access | Times Cited: 84

Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques
Fatma Uysal Ciloglu, Abdullah Çalışkan, Ayşe Mine Sarıdağ, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 80

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