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:

Unlocking the microbial studies through computational approaches: how far have we reached?
Rajnish Kumar, Garima Yadav, Mohammed Kuddus, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 17, pp. 48929-48947
Open Access | Times Cited: 8

Showing 8 citing articles:

Microbiome Dynamics: A Paradigm Shift in Combatting Infectious Diseases
Mohamed Kamel, Sami Aleya, Majed Alsubih, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 2, pp. 217-217
Open Access | Times Cited: 16

Modeling Microbial Community Networks: Methods and Tools for Studying Microbial Interactions
Shanchana Srinivasan, Apoorva Jnana, Thokur Sreepathy Murali
Microbial Ecology (2024) Vol. 87, Iss. 1
Open Access | Times Cited: 9

Treatment of refinery wastewater: Current status and prospects
Hongliang Guo, Qing Qin, Mingzhe Hu, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 112508-112508
Closed Access | Times Cited: 7

Microbiota composition and its impact on DNA methylation in colorectal cancer
Melva Gutiérrez‐Angulo, María de la Luz Ayala-Madrigal, José Miguel Moreno-Ortíz, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 13

Applications of artificial intelligence and machine learning in microbial diagnostics and identification
Navaneet Chaturvedi, Manoj Kumar Yadav, Mohit Sharma
Methods in microbiology (2024), pp. 213-230
Closed Access | Times Cited: 3

Interpretable machine learning decodes soil microbiome’s response to drought stress
Michelle Hagen, Rupashree Dass, Cathy Westhues, et al.
Environmental Microbiome (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 2

Contribution of data acquired from spectroscopic, genomic and microbiological analyses to enhance mussels’ quality assessment
Anastasia Lytou, Lawrence V. Saxton, Lemonia-Christina Fengou, et al.
Food Research International (2024) Vol. 197, pp. 115207-115207
Closed Access | Times Cited: 1

Interpretable Machine Learning Decodes Soil Microbiome’s Response to Drought Stress
Michelle Hagen, Rupashree Dass, Cathy Westhues, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

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